From b7b32ee09bcfd8d5266841098ca4e707fafc8d0c Mon Sep 17 00:00:00 2001 From: ibarraespinosa Date: Thu, 5 Sep 2019 15:06:25 -0300 Subject: [PATCH] small update in vein_nots --- DESCRIPTION | 2 +- NEWS.md | 2 +- docs/404.html | 142 +++++++++++++++++ docs/CODE_OF_CONDUCT.html | 33 +++- docs/CONTRIBUTING.html | 33 +++- docs/LICENSE-text.html | 33 +++- docs/apple-touch-icon-120x120.png | Bin 0 -> 47486 bytes docs/apple-touch-icon-152x152.png | Bin 0 -> 62576 bytes docs/apple-touch-icon-180x180.png | Bin 0 -> 78041 bytes docs/apple-touch-icon-60x60.png | Bin 0 -> 26832 bytes docs/apple-touch-icon-76x76.png | Bin 0 -> 31282 bytes docs/apple-touch-icon.png | Bin 0 -> 78041 bytes docs/authors.html | 44 ++++-- docs/favicon-16x16.png | Bin 0 -> 19512 bytes docs/favicon-32x32.png | Bin 0 -> 21141 bytes docs/favicon.ico | Bin 264194 -> 15086 bytes docs/index.html | 148 +++++++++--------- docs/news/index.html | 55 +++++-- docs/pkgdown.css | 46 ++++-- docs/pkgdown.js | 14 +- docs/pkgdown.yml | 2 +- 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51 +++--- pkgdown/favicon/apple-touch-icon-120x120.png | Bin 0 -> 47486 bytes pkgdown/favicon/apple-touch-icon-152x152.png | Bin 0 -> 62576 bytes pkgdown/favicon/apple-touch-icon-180x180.png | Bin 0 -> 78041 bytes pkgdown/favicon/apple-touch-icon-60x60.png | Bin 0 -> 26832 bytes pkgdown/favicon/apple-touch-icon-76x76.png | Bin 0 -> 31282 bytes pkgdown/favicon/apple-touch-icon.png | Bin 0 -> 78041 bytes pkgdown/favicon/favicon-16x16.png | Bin 0 -> 19512 bytes pkgdown/favicon/favicon-32x32.png | Bin 0 -> 21141 bytes pkgdown/favicon/favicon.ico | Bin 0 -> 15086 bytes 167 files changed, 3183 insertions(+), 2162 deletions(-) create mode 100644 docs/404.html create mode 100644 docs/apple-touch-icon-120x120.png create mode 100644 docs/apple-touch-icon-152x152.png create mode 100644 docs/apple-touch-icon-180x180.png create mode 100644 docs/apple-touch-icon-60x60.png create mode 100644 docs/apple-touch-icon-76x76.png create mode 100644 docs/apple-touch-icon.png create mode 100644 docs/favicon-16x16.png create mode 100644 docs/favicon-32x32.png create mode 100644 pkgdown/favicon/apple-touch-icon-120x120.png create mode 100644 pkgdown/favicon/apple-touch-icon-152x152.png create mode 100644 pkgdown/favicon/apple-touch-icon-180x180.png create mode 100644 pkgdown/favicon/apple-touch-icon-60x60.png create mode 100644 pkgdown/favicon/apple-touch-icon-76x76.png create mode 100644 pkgdown/favicon/apple-touch-icon.png create mode 100644 pkgdown/favicon/favicon-16x16.png create mode 100644 pkgdown/favicon/favicon-32x32.png create mode 100644 pkgdown/favicon/favicon.ico diff --git a/DESCRIPTION b/DESCRIPTION index 4f1742e5..36246937 100755 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: vein Type: Package Title: Vehicular Emissions Inventories -Version: 0.7.15 +Version: 0.8.0 Date: 2019-09-05 Authors@R: c( person(given = "Sergio", family = "Ibarra-Espinosa", diff --git a/NEWS.md b/NEWS.md index b5a6a7d7..d07be1b9 100755 --- a/NEWS.md +++ b/NEWS.md @@ -1,7 +1,7 @@ NEWS =========== -# vein 0.7.15 (Release date: 2019-09-05) +# vein 0.8.0 (Release date: 2019-09-05) - Update vein_notes diff --git a/docs/404.html b/docs/404.html new file mode 100644 index 00000000..6a115398 --- /dev/null +++ b/docs/404.html @@ -0,0 +1,142 @@ + + + + + + + + +Page not found (404) • vein + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + + +
+ +
+
+ + +Content not found. Please use links in the navbar. + +
+ +
+ + + +
+ + +
+

Site built with pkgdown 1.4.0.

+
+ +
+
+ + + + + + + + diff --git a/docs/CODE_OF_CONDUCT.html b/docs/CODE_OF_CONDUCT.html index 11991d1c..9a6eb713 100644 --- a/docs/CODE_OF_CONDUCT.html +++ b/docs/CODE_OF_CONDUCT.html @@ -8,21 +8,32 @@ Contributor Covenant Code of Conduct • vein + + + + + + + + + - + + - - + + + @@ -30,13 +41,14 @@ - + + @@ -47,6 +59,7 @@ + @@ -63,7 +76,7 @@ vein - 0.7.13 + 0.8.0 @@ -71,7 +84,7 @@ - @@ -92,6 +104,7 @@ +
@@ -155,19 +168,23 @@

+ + + diff --git a/docs/CONTRIBUTING.html b/docs/CONTRIBUTING.html index 36ade988..b68e1b02 100644 --- a/docs/CONTRIBUTING.html +++ b/docs/CONTRIBUTING.html @@ -8,21 +8,32 @@ NA • vein + + + + + + + + + - + + - - + + + @@ -30,13 +41,14 @@ - + + @@ -47,6 +59,7 @@ + @@ -63,7 +76,7 @@ vein - 0.7.13 + 0.8.0 @@ -71,7 +84,7 @@ - @@ -92,6 +104,7 @@ +
@@ -157,19 +170,23 @@

+ + + diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index b6a1d3d5..9dbcf4f2 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -8,21 +8,32 @@ License • vein + + + + + + + + + - + + - - + + + @@ -30,13 +41,14 @@ - + + @@ -47,6 +59,7 @@ + @@ -63,7 +76,7 @@ vein - 0.7.13 + 0.8.0 @@ -71,7 +84,7 @@ - @@ -92,6 +104,7 @@ +
@@ -109,19 +122,23 @@

License

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@@ -104,7 +117,7 @@

Citation

Ibarra-Espinosa S, Ynoue R, O'Sullivan S, Pebesma E, Andrade M, Osses M (2018). “VEIN v0.2.2: an R package for bottom-up Vehicular Emissions Inventories.” Geoscientific Model Development. -doi: 10.5194/gmd-11-2209-2018, https://www.geosci-model-dev.net/11/2209/2018/. +doi: 10.5194/gmd-11-2209-2018, https://www.geosci-model-dev.net/11/2209/2018/.

@Article{,
   title = {VEIN v0.2.2: an R package for bottom-up Vehicular Emissions Inventories},
@@ -116,26 +129,27 @@ 

Citation

}

Ibarra-Espinosa S (2019). vein: Vehicular Emissions Inventories. -R package version 0.7.13, https://atmoschem.github.io/vein/. +R package version 0.8.0, https://atmoschem.github.io/vein/.

@Manual{,
   title = {vein: Vehicular Emissions Inventories},
   author = {Sergio Ibarra-Espinosa},
   year = {2019},
-  note = {R package version 0.7.13},
+  note = {R package version 0.8.0},
   url = {https://atmoschem.github.io/vein/},
 }
+
  • -

    Sergio Ibarra-Espinosa. Author, maintainer. ORCID +

    Sergio Ibarra-Espinosa. Author, maintainer. ORCID

  • -

    Daniel Schuch. Contributor. ORCID +

    Daniel Schuch. Contributor. ORCID

@@ -145,19 +159,23 @@

Authors

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
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@@

Dev status

-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+ + diff --git a/docs/news/index.html b/docs/news/index.html index 5f536f71..3d801df3 100755 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -8,21 +8,32 @@ Changelog • vein + + + + + + + + + - + + - - + + + @@ -30,13 +41,14 @@ - + + @@ -47,6 +59,7 @@ + @@ -63,7 +76,7 @@ vein - 0.7.13 + 0.8.0 @@ -71,7 +84,7 @@ - @@ -92,6 +104,7 @@ +
@@ -101,14 +114,30 @@

Changelog

-
+

-vein 0.7.13 (Release date: 2019-07-21) Unreleased +vein 0.8.0 (Release date: 2019-09-05) Unreleased

    +
  • Update vein_notes
  • +
+
+

+vein 0.7.14 (Release date: 2019-08-20)

+
    +
  • update emis_to_streets. Now it check class of dfemis and transform to data.frame if is sf
  • +
  • Create grids from bbox (sf)
  • +
  • adding df argument at ef*scaled (again!)
  • +
+
+
+

+vein 0.7.13 (Release date: 2019-08-06)

+
  • update emis_grid when spobj comes from data.table
  • Add function in emis_grid, supporting evaluated parsed text (“sum”, “mean”, etc)
+

vein 0.7.12 (Release date: 2019-07-21)

@@ -1081,7 +1110,7 @@

Contents

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+

+ + diff --git a/docs/pkgdown.css b/docs/pkgdown.css index c03fb08d..91459581 100644 --- a/docs/pkgdown.css +++ b/docs/pkgdown.css @@ -21,8 +21,6 @@ body > .container { display: flex; height: 100%; flex-direction: column; - - padding-top: 60px; } body > .container .row { @@ -102,21 +100,13 @@ a.anchor { margin-top: -40px; } -/* Static header placement on mobile devices */ -@media (max-width: 767px) { - .navbar-fixed-top { - position: absolute; - } - .navbar { - padding: 0; - } -} - - /* Sidebar --------------------------*/ #sidebar { margin-top: 30px; + position: -webkit-sticky; + position: sticky; + top: 70px; } #sidebar h2 { font-size: 1.5em; @@ -133,6 +123,9 @@ a.anchor { .orcid { height: 16px; + /* margins are required by official ORCID trademark and display guidelines */ + margin-left:4px; + margin-right:4px; vertical-align: middle; } @@ -222,6 +215,19 @@ a.sourceLine:hover { visibility: visible; } +/* headroom.js ------------------------ */ + +.headroom { + will-change: transform; + transition: transform 200ms linear; +} +.headroom--pinned { + transform: translateY(0%); +} +.headroom--unpinned { + transform: translateY(-100%); +} + /* mark.js ----------------------------*/ mark { @@ -234,3 +240,17 @@ mark { .html-widget { margin-bottom: 10px; } + +/* fontawesome ------------------------ */ + +.fab { + font-family: "Font Awesome 5 Brands" !important; +} + +/* don't display links in code chunks when printing */ +/* source: https://stackoverflow.com/a/10781533 */ +@media print { + code a:link:after, code a:visited:after { + content: ""; + } +} diff --git a/docs/pkgdown.js b/docs/pkgdown.js index eb7e83d2..087a7622 100644 --- a/docs/pkgdown.js +++ b/docs/pkgdown.js @@ -2,14 +2,12 @@ (function($) { $(function() { - $("#sidebar") - .stick_in_parent({offset_top: 40}) - .on('sticky_kit:bottom', function(e) { - $(this).parent().css('position', 'static'); - }) - .on('sticky_kit:unbottom', function(e) { - $(this).parent().css('position', 'relative'); - }); + 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a/docs/reference/EmissionFactors.html +++ b/docs/reference/EmissionFactors.html @@ -8,21 +8,32 @@ Construction function for class "EmissionFactors" — EmissionFactors • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0
@@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@
+
@@ -106,23 +118,21 @@

Construction function for class "EmissionFactors"

-

EmissionFactors returns a tranformed object with class "EmissionFactors" and units g/km.

-
EmissionFactors(x, ...)
 
 # S3 method for EmissionFactors
-print(x, ...)
+print(x, ...)
 
 # S3 method for EmissionFactors
-summary(object, ...)
+summary(object, ...)
 
 # S3 method for EmissionFactors
-plot(x, ...)
- +plot(x, ...) +

Arguments

@@ -139,23 +149,22 @@

Arg

Object with class "EmissionFactors"

- +

Value

Objects of class "EmissionFactors" or "units"

-

Examples

{ -data(fe2015) -names(fe2015) -class(fe2015) -df <- fe2015[fe2015$Pollutant=="CO", c(ncol(fe2015)-1,ncol(fe2015))] +data(fe2015) +names(fe2015) +class(fe2015) +df <- fe2015[fe2015$Pollutant=="CO", c(ncol(fe2015)-1,ncol(fe2015))] ef1 <- EmissionFactors(df) -class(ef1) -summary(ef1) -plot(ef1) -print(ef1) +class(ef1) +summary(ef1) +plot(ef1) +print(ef1) }
#> Mean EmissionFactors in study area = #> PC_G LT #> Min. : 0.1550 Min. :0.1158 @@ -175,28 +184,30 @@

Examp

Contents

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/EmissionFactorsList.html b/docs/reference/EmissionFactorsList.html index 65c1b88c..fe0f7a5a 100755 --- a/docs/reference/EmissionFactorsList.html +++ b/docs/reference/EmissionFactorsList.html @@ -8,21 +8,32 @@ Construction function for class "EmissionFactorsList" — EmissionFactorsList • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
@@ -106,23 +118,21 @@

Construction function for class "EmissionFactorsList"

-

EmissionFactorsList returns a tranformed object with class"EmissionsFactorsList".

-
EmissionFactorsList(x, ...)
 
 # S3 method for EmissionFactorsList
-print(x, ..., default = FALSE)
+print(x, ..., default = FALSE)
 
 # S3 method for EmissionFactorsList
-summary(object, ...)
+summary(object, ...)
 
 # S3 method for EmissionFactorsList
-plot(x, ...)
- +plot(x, ...)
+

Arguments

@@ -144,23 +154,22 @@

Arg

Object with class "EmissionFactorsList"

- +

Value

Objects of class "EmissionFactorsList"

-

Examples

{ -data(fe2015) -names(fe2015) -class(fe2015) -df <- fe2015[fe2015$Pollutant=="CO", c(ncol(fe2015)-1,ncol(fe2015))] +data(fe2015) +names(fe2015) +class(fe2015) +df <- fe2015[fe2015$Pollutant=="CO", c(ncol(fe2015)-1,ncol(fe2015))] ef1 <- EmissionFactorsList(df) -class(ef1) -length(ef1) -length(ef1[[1]]) -summary(ef1) +class(ef1) +length(ef1) +length(ef1[[1]]) +summary(ef1) ef1 }
#> This EmissionFactorsList has 2 lists #> First has 36 functions @@ -172,28 +181,30 @@

Examp

Contents

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/Emissions.html b/docs/reference/Emissions.html index af13b65b..c2104519 100755 --- a/docs/reference/Emissions.html +++ b/docs/reference/Emissions.html @@ -8,21 +8,32 @@ Construction function for class "Emissions" — Emissions • vein + + + + + + + + + - + + - - + + + @@ -30,18 +41,18 @@ - + - + @@ -52,6 +63,7 @@ + @@ -68,7 +80,7 @@ vein - 0.7.13 + 0.8.0 @@ -76,7 +88,7 @@ - @@ -97,6 +108,7 @@ +
@@ -108,25 +120,23 @@

Construction function for class "Emissions"

-

Emissions returns a tranformed object with class "Emissions". The type of objects supported are of classes "matrix", "data.frame" and "numeric". If the class of the object is "matrix" this function returns a dataframe.

-
Emissions(x, ...)
 
 # S3 method for Emissions
-print(x, ...)
+print(x, ...)
 
 # S3 method for Emissions
-summary(object, ...)
+summary(object, ...)
 
 # S3 method for Emissions
-plot(x, ...)
- +plot(x, ...)
+

Arguments

@@ -143,72 +153,73 @@

Arg

object with class "Emissions"

- +

Value

Objects of class "Emissions" or "units"

-

Examples

-
# NOT RUN {
-data(net)
-data(pc_profile)
-data(fe2015)
-data(fkm)
-PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923,
+    
if (FALSE) { +data(net) +data(pc_profile) +data(fe2015) +data(fkm) +PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923, 133833,138441,142682,171029,151048,115228,98664,126444,101027, 84771,55864,36306,21079,20138,17439, 7854,2215,656,1262,476,512, 1181, 4991, 3711, 5653, 7039, 5839, 4257,3824, 3068) -veh <- data.frame(PC_G = PC_G) +veh <- data.frame(PC_G = PC_G) pc1 <- my_age(x = net$ldv, y = PC_G, name = "PC") pcw <- temp_fact(net$ldv+net$hdv, pc_profile) speed <- netspeed(pcw, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1, isList = T) -pckm <- fkm[[1]](1:24); pckma <- cumsum(pckm) +pckm <- fkm[[1]](1:24); pckma <- cumsum(pckm) cod1 <- emis_det(po = "CO", cc = 1000, eu = "III", km = pckma[1:11]) cod2 <- emis_det(po = "CO", cc = 1000, eu = "I", km = pckma[12:24]) #vehicles newer than pre-euro co1 <- fe2015[fe2015$Pollutant=="CO", ] #24 obs!!! -cod <- c(co1$PC_G[1:24]*c(cod1,cod2),co1$PC_G[25:nrow(co1)]) +cod <- c(co1$PC_G[1:24]*c(cod1,cod2),co1$PC_G[25:nrow(co1)]) lef <- ef_ldv_scaled(co1, cod, v = "PC", cc = "<=1400", f = "G", p = "CO", eu=co1$Euro_LDV) E_CO <- emis(veh = pc1,lkm = net$lkm, ef = lef, speed = speed, agemax = 41, profile = pc_profile, hour = 24, day = 7, array = T) -dim(E_CO) # streets x vehicle categories x hours x days -class(E_CO[ , , 1, 1]) +dim(E_CO) # streets x vehicle categories x hours x days +class(E_CO[ , , 1, 1]) df <- Emissions(E_CO[ , , 1, 1]) # Firt hour x First day -class(df) -summary(df) -head(df) -plot(df) -# }
+class(df) +summary(df) +head(df) +plot(df) +}
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/EmissionsArray.html b/docs/reference/EmissionsArray.html index 9f6e84ee..7a6e4432 100755 --- a/docs/reference/EmissionsArray.html +++ b/docs/reference/EmissionsArray.html @@ -8,21 +8,32 @@ Construction function for class "EmissionsArray" — EmissionsArray • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
@@ -106,23 +118,21 @@

Construction function for class "EmissionsArray"

-

EmissionsArray returns a tranformed object with class "EmissionsArray" with 4 dimensios.

-
EmissionsArray(x, ...)
 
 # S3 method for EmissionsArray
-print(x, ...)
+print(x, ...)
 
 # S3 method for EmissionsArray
-summary(object, ...)
+summary(object, ...)
 
 # S3 method for EmissionsArray
-plot(x, ...)
- +plot(x, ...) +

Arguments

@@ -139,78 +149,77 @@

Arg

object with class "EmissionsArray'

- +

Value

Objects of class "EmissionsArray"

-

Note

Future version of this function will return an Array of 3 dimensions.

-

Examples

-
# NOT RUN {
-data(net)
-data(pc_profile)
-data(fe2015)
-data(fkm)
-PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923,
+    
if (FALSE) { +data(net) +data(pc_profile) +data(fe2015) +data(fkm) +PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923, 133833,138441,142682,171029,151048,115228,98664,126444,101027, 84771,55864,36306,21079,20138,17439, 7854,2215,656,1262,476,512, 1181, 4991, 3711, 5653, 7039, 5839, 4257,3824, 3068) -veh <- data.frame(PC_G = PC_G) +veh <- data.frame(PC_G = PC_G) pc1 <- my_age(x = net$ldv, y = PC_G, name = "PC") pcw <- temp_fact(net$ldv+net$hdv, pc_profile) speed <- netspeed(pcw, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1, isList = T) -pckm <- fkm[[1]](1:24); pckma <- cumsum(pckm) +pckm <- fkm[[1]](1:24); pckma <- cumsum(pckm) cod1 <- emis_det(po = "CO", cc = 1000, eu = "III", km = pckma[1:11]) cod2 <- emis_det(po = "CO", cc = 1000, eu = "I", km = pckma[12:24]) #vehicles newer than pre-euro co1 <- fe2015[fe2015$Pollutant=="CO", ] #24 obs!!! -cod <- c(co1$PC_G[1:24]*c(cod1,cod2),co1$PC_G[25:nrow(co1)]) +cod <- c(co1$PC_G[1:24]*c(cod1,cod2),co1$PC_G[25:nrow(co1)]) lef <- ef_ldv_scaled(co1, cod, v = "PC", cc = "<=1400", f = "G",p = "CO", eu=co1$Euro_LDV) E_CO <- emis(veh = pc1,lkm = net$lkm, ef = lef, speed = speed, agemax = 41, profile = pc_profile, hour = 24, day = 7, array = T) -class(E_CO) -summary(E_CO) +class(E_CO) +summary(E_CO) E_CO -plot(E_CO) -lpc <- list(pc1, pc1) +plot(E_CO) +lpc <- list(pc1, pc1) E_COv2 <- emis(veh = lpc,lkm = net$lkm, ef = lef, speed = speed, agemax = 41, profile = pc_profile, hour = 2, day = 1) -# }
+}
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/GriddedEmissionsArray.html b/docs/reference/GriddedEmissionsArray.html index c9ea9295..027b3741 100644 --- a/docs/reference/GriddedEmissionsArray.html +++ b/docs/reference/GriddedEmissionsArray.html @@ -8,21 +8,32 @@ Construction function for class "GriddedEmissionsArray" — GriddedEmissionsArray • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
@@ -106,24 +118,22 @@

Construction function for class "GriddedEmissionsArray"

-

GriddedEmissionsArray returns a tranformed object with class "EmissionsArray" with 4 dimensios.

-
-
GriddedEmissionsArray(x, ..., cols, rows, times = ncol(x),
+    
GriddedEmissionsArray(x, ..., cols, rows, times = ncol(x),
   rotate = FALSE)
 
 # S3 method for GriddedEmissionsArray
-print(x, ...)
+print(x, ...)
 
 # S3 method for GriddedEmissionsArray
-summary(object, ...)
+summary(object, ...)
 
 # S3 method for GriddedEmissionsArray
-plot(x, ..., times = 1)
- +plot(x, ..., times = 1)
+

Arguments

@@ -157,81 +167,82 @@

Arg

object with class "EmissionsArray'

- +

Value

Objects of class "GriddedEmissionsArray"

-

Examples

-
# NOT RUN {
-data(net)
-data(pc_profile)
-data(fe2015)
-data(fkm)
-PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923,
+    
if (FALSE) { +data(net) +data(pc_profile) +data(fe2015) +data(fkm) +PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923, 133833,138441,142682,171029,151048,115228,98664,126444,101027, 84771,55864,36306,21079,20138,17439, 7854,2215,656,1262,476,512, 1181, 4991, 3711, 5653, 7039, 5839, 4257,3824, 3068) -veh <- data.frame(PC_G = PC_G) +veh <- data.frame(PC_G = PC_G) pc1 <- my_age(x = net$ldv, y = PC_G, name = "PC") pcw <- temp_fact(net$ldv+net$hdv, pc_profile) speed <- netspeed(pcw, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1) -pckm <- fkm[[1]](1:24); pckma <- cumsum(pckm) +pckm <- fkm[[1]](1:24); pckma <- cumsum(pckm) cod1 <- emis_det(po = "CO", cc = 1000, eu = "III", km = pckma[1:11]) cod2 <- emis_det(po = "CO", cc = 1000, eu = "I", km = pckma[12:24]) #vehicles newer than pre-euro co1 <- fe2015[fe2015$Pollutant=="CO", ] #24 obs!!! -cod <- c(co1$PC_G[1:24]*c(cod1,cod2),co1$PC_G[25:nrow(co1)]) +cod <- c(co1$PC_G[1:24]*c(cod1,cod2),co1$PC_G[25:nrow(co1)]) lef <- ef_ldv_scaled(co1, cod, v = "PC", t = "4S", cc = "<=1400", f = "G",p = "CO", eu=co1$Euro_LDV) E_CO <- emis(veh = pc1,lkm = net$lkm, ef = lef, speed = speed, agemax = 41, profile = pc_profile, hour = 24, day = 7, array = T) -class(E_CO) +class(E_CO) E_CO_STREETS <- emis_post(arra = E_CO, pollutant = "CO", by = "streets_wide") -net@data <- cbind(net@data, E_CO_STREETS) -head(net@data) +net@data <- cbind(net@data, E_CO_STREETS) +head(net@data) g <- make_grid(net, 1/102.47/2, 1/102.47/2) #500m in degrees -net@data <- net@data[,- c(1:9)] -names(net) +net@data <- net@data[,- c(1:9)] +names(net) E_CO_g <- emis_grid(spobj = net, g = g, sr= 31983) -head(E_CO_g) #class sf -library(mapview) -mapview(E_CO_g, zcol= "V1", legend = T, col.regions = cptcity::cptcity(1)) +head(E_CO_g) #class sf +library(mapview) +mapview(E_CO_g, zcol= "V1", legend = T, col.regions = cptcity::cptcity(1)) gr <- GriddedEmissionsArray(E_CO_g, rows = 19, cols = 23, times = 168, T) -plot(gr) +plot(gr) # For some cptcity color gradients: devtools::install_github("ibarraespinosa/cptcity") -plot(gr, col = cptcity::cptcity(1)) -# }
+plot(gr, col = cptcity::cptcity(1)) +}
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
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- @@ -98,6 +109,7 @@ +
@@ -109,26 +121,24 @@

Construction function for class "Speed"

-

Speed returns a tranformed object with class "Speed" and units km/h. This functions includes two arguments, distance and time. Therefore, it is posibel to change the units of the speed to "m" to "s" for example. This function returns a dataframe with units for speed. When this function is applied to numeric vectors it add class "units".

-
Speed(x, ...)
 
 # S3 method for Speed
-print(x, ...)
+print(x, ...)
 
 # S3 method for Speed
-summary(object, ...)
+summary(object, ...)
 
 # S3 method for Speed
-plot(x, ...)
- +plot(x, ...) +

Arguments

@@ -145,26 +155,24 @@

Arg

Object with class "Speed"

- +

Value

Constructor for class "Speed" or "units"

-

See also

- - +

Examples

{ -data(net) -data(pc_profile) +data(net) +data(pc_profile) speed <- Speed(net$ps) -class(speed) -plot(speed, type = "l") +class(speed) +plot(speed, type = "l") pc_week <- temp_fact(net$ldv+net$hdv, pc_profile) df <- netspeed(pc_week, net$ps, net$ffs, net$capacity, net$lkm) -summary(df) +summary(df) }
#> Check units are km/h
#> Speeds by columns and street in study area = #> Min. 1st Qu. Median Mean 3rd Qu. Max. #> 3.929 39.667 40.000 49.142 59.985 100.000
@@ -173,30 +181,31 @@

Examp

Contents

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
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class "Vehicles" — Vehicles • vein + + + + + + + + + - + + - - + + + @@ -30,18 +41,18 @@ - + - + @@ -52,6 +63,7 @@ + @@ -68,7 +80,7 @@ vein - 0.7.13 + 0.8.0 @@ -76,7 +88,7 @@ - @@ -97,6 +108,7 @@ +
@@ -108,25 +120,23 @@

Construction function for class "Vehicles"

-

Vehicles returns a tranformed object with class "Vehicles" and units 'veh'. The type of objects supported are of classes "matrix", "data.frame", "numeric" and "array". If the object is a matrix it is converted to data.frame. If the object is "numeric" it is converted to class "units".

-
Vehicles(x, ...)
 
 # S3 method for Vehicles
-print(x, ...)
+print(x, ...)
 
 # S3 method for Vehicles
-summary(object, ...)
+summary(object, ...)
 
 # S3 method for Vehicles
-plot(x, ..., message = TRUE)
- +plot(x, ..., message = TRUE) +

Arguments

@@ -147,23 +157,22 @@

Arg

message with average age

- +

Value

Objects of class "Vehicles" or "units"

-

Examples

{ -lt <- rnorm(100, 300, 10) -class(lt) +lt <- rnorm(100, 300, 10) +class(lt) vlt <- Vehicles(lt) -class(vlt) -plot(vlt) +class(vlt) +plot(vlt) LT_B5 <- age_hdv(x = lt,name = "LT_B5") -print(LT_B5) -summary(LT_B5) -plot(LT_B5) +print(LT_B5) +summary(LT_B5) +plot(LT_B5) }
#> LT_B5_1 LT_B5_2 LT_B5_3 LT_B5_4 LT_B5_5 #> 1 3.789047 [veh] 4.022849 [veh] 4.375503 [veh] 4.848389 [veh] 5.441710 [veh] #> 2 4.008356 [veh] 4.255691 [veh] 4.628757 [veh] 5.129013 [veh] 5.756676 [veh] @@ -188,28 +197,30 @@

Examp

Contents

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/add_polid.html b/docs/reference/add_polid.html index 20e3eb6d..5f6d4e51 100644 --- a/docs/reference/add_polid.html +++ b/docs/reference/add_polid.html @@ -8,21 +8,32 @@ Add polygon id to lines road network — add_polid • vein + + + + + + + + + - + + - - + + + @@ -30,17 +41,17 @@ - + - + @@ -51,6 +62,7 @@ + @@ -67,7 +79,7 @@ vein - 0.7.13 + 0.8.0 @@ -75,7 +87,7 @@ - @@ -96,6 +107,7 @@ +
@@ -107,15 +119,13 @@

Add polygon id to lines road network

-

Sometimes you need to add polygon id into your streets road network. add_polid add add_polid id into your road network cropping your network by

-
add_polid(polyg, street, by)
- +

Arguments

@@ -133,44 +143,44 @@

Arg

Character indicating the column woith the id in polyg

- +

See also

-

Examples

-
# NOT RUN {
-#to do
-# }
-
+
if (FALSE) { +#to do +}
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
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z*L|t}?QaJGLAverage daily traffic (ADT) from hourly traffic data. — adt • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
@@ -106,15 +118,13 @@

Average daily traffic (ADT) from hourly traffic data.

-

adt calculates ADT based on hourly traffic data. The input traffic data is usually for morning rush hours.

-
adt(pc, lcv, hgv, bus, mc, p_pc, p_lcv, p_hgv, p_bus, p_mc,
   expanded = FALSE)
- +

Arguments

@@ -163,17 +173,16 @@

Arg

boolean argument for returning numeric vector or "Vehicles"

- +

Value

numeric vector of total volume of traffic per link, or data-frames of expanded traffic

-

Examples

{ -data(net) -data(pc_profile) +data(net) +data(pc_profile) p1 <- pc_profile[, 1] adt1 <- adt(pc = net$ldv*0.75, lcv = net$ldv*0.1, @@ -185,8 +194,8 @@

Examp p_hgv = p1, p_bus = p1, p_mc = p1) -head(adt1) -plot(adt1) +head(adt1) +plot(adt1) adt2 <- adt(pc = net$ldv*0.75, lcv = net$ldv*0.1, hgv = net$hdv, @@ -198,8 +207,8 @@

Examp p_bus = p1*0, # when zero, must be the same size p_mc = p1, TRUE) -head(adt2) -plot(adt2) # Class Vehicles +head(adt2) +plot(adt2) # Class Vehicles }

#> #> Average = 14.07
@@ -207,28 +216,30 @@

Examp

Contents

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

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z_2E6sc1Lk_U|!B-fvgBWROJ?E6yB-;!?XM_FNxlqw%u#3##Qnp-myVl+GrM;rvd|h zB~U{!8*9T|+g}Xt1xh_y%#NSstE*^9EWe6bSHL_bGpAAAtgBZ+SU*>>b>x6 zH}Nqsi-;R6DPAky>)2i*cF9lf70DiE5?6rPWsBO%@|)gfA`gYnc#{HV;TJ+;nW!2T z8T^tqRT(g8rTL~l7*Uo^93s|o_Z292sfM+x=P7pWwMA)=zlCA0`NBNOlW4LXfU-lG zR+a4DMCrZ1%Q!X`;@?)oIiULLd+067FEQ$sZ$hO)kH_gpB$hbcj)F diff --git a/docs/reference/age.html b/docs/reference/age.html index feb451e7..52f96546 100644 --- a/docs/reference/age.html +++ b/docs/reference/age.html @@ -8,21 +8,32 @@ Applies a survival rate to numeric new vehicles — age • vein + + + + + + + + + - + + - - + + + @@ -30,15 +41,15 @@ - + - + @@ -49,6 +60,7 @@ + @@ -65,7 +77,7 @@ vein - 0.7.13 + 0.8.0 @@ -73,7 +85,7 @@

- @@ -94,6 +105,7 @@ +
@@ -105,14 +117,12 @@

Applies a survival rate to numeric new vehicles

-

age returns survived vehicles

-
age(x, type = "weibull", a = 14.46, b = 4.79, agemax, net,
   verbose = FALSE)
- +

Arguments

@@ -146,11 +156,10 @@

Arg regions or streets.

- +

Value

dataframe of age distrubution of vehicles

-

Note

The functions age* produce distribution of the circulating fleet by age of use. @@ -163,7 +172,8 @@

Note

you dont know the sales or registry of vehicles, but somehow you know the shape of this curve. 4. You can use/merge/transform/dapt any of these functions.

-

gompertz: 1 - exp(-exp(a + b*time)), + +

gompertz: 1 - exp(-exp(a + b*time)), defaults PC: b = -0.137, a = 1.798, LCV: b = -0.141, a = 1.618 MCT (2006). de Gases de Efeito Estufa-Emissoes de Gases de Efeito Estufa por Fontes Moveis, no Setor Energético. Ministerio da Ciencia e Tecnologia. @@ -191,71 +201,71 @@

Note

Zachariadis, T., Samaras, Z., Zierock, K. H. (1995). Dynamic modeling of vehicle populations: an engineering approach for emissions calculations. Technological Forecasting and Social Change, 50(2), 135-149. Cited by Huo and Wang (2012)

-

Examples

{ -vehLIA <- rep(1, 25) +vehLIA <- rep(1, 25) PV_Minia <- age(x = vehLIA) PV_Minib <- age(x = vehLIA, type = "weibull2", b = 11, a = 26) PV_Minic <- age(x = vehLIA, type = "double_logistic", b = 21, a = 0.19) PV_Minid <- age(x = vehLIA, type = "gompertz", b = -0.137, a = 1.798) -plot(PV_Minia, type = "b", pch = 16) -lines(PV_Minib, type = "b", pch = 16, col = "red") -lines(PV_Minic, type = "b", pch = 16, col = "blue") -lines(PV_Minid, type = "b", pch = 16, col = "green") -legend(x = 20, y = 0.85, - legend = c("weibull", "weibull2", "double_logistic", "gompertz"), - col = c("black", "red", "blue", "green"), - lty=c(1,1), - lwd=c(2.5, 2.5, 2.5, 2.5)) +plot(PV_Minia, type = "b", pch = 16) +lines(PV_Minib, type = "b", pch = 16, col = "red") +lines(PV_Minic, type = "b", pch = 16, col = "blue") +lines(PV_Minid, type = "b", pch = 16, col = "green") +legend(x = 20, y = 0.85, + legend = c("weibull", "weibull2", "double_logistic", "gompertz"), + col = c("black", "red", "blue", "green"), + lty=c(1,1), + lwd=c(2.5, 2.5, 2.5, 2.5)) #lets put some numbers -vehLIA <- c(65400, 79100, 80700, 85300, 86700, 82000, 74500, 67700, 60600, 62500, +vehLIA <- c(65400, 79100, 80700, 85300, 86700, 82000, 74500, 67700, 60600, 62500, 84700, 62600, 47900, 63900, 41800, 37492, 34243, 30995, 27747, 24499, 21250, 18002, 14754, 11506, 8257) PV_Minia <- age(x = vehLIA) PV_Minib <- age(x = vehLIA, type = "weibull2", b = 11, a = 26) PV_Minic <- age(x = vehLIA, type = "double_logistic", b = 21, a = 0.19) PV_Minid <- age(x = vehLIA, type = "gompertz", b = -0.137, a = 1.798) -plot(PV_Minia, type = "b", pch = 16) -lines(PV_Minib, type = "b", pch = 16, col = "red") -lines(PV_Minic, type = "b", pch = 16, col = "blue") -lines(PV_Minid, type = "b", pch = 16, col = "green") -legend(x = 20, y = 80000, - legend = c("weibull", "weibull2", "double_logistic", "gompertz"), - col = c("black", "red", "blue", "green"), - lty=c(1,1), - lwd=c(2.5, 2.5, 2.5, 2.5)) +plot(PV_Minia, type = "b", pch = 16) +lines(PV_Minib, type = "b", pch = 16, col = "red") +lines(PV_Minic, type = "b", pch = 16, col = "blue") +lines(PV_Minid, type = "b", pch = 16, col = "green") +legend(x = 20, y = 80000, + legend = c("weibull", "weibull2", "double_logistic", "gompertz"), + col = c("black", "red", "blue", "green"), + lty=c(1,1), + lwd=c(2.5, 2.5, 2.5, 2.5)) }
+
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Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
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S)mtzC0000Returns amount of vehicles at each age — age_hdv • vein + + + + + + + + + - + + - - + + + @@ -30,15 +41,15 @@ - + - + @@ -49,6 +60,7 @@ + @@ -65,7 +77,7 @@ vein - 0.7.13 + 0.8.0 @@ -73,7 +85,7 @@

    - @@ -94,6 +105,7 @@ +
    @@ -105,14 +117,12 @@

    Returns amount of vehicles at each age

    -

    age_hdv returns amount of vehicles at each age

    -
    age_hdv(x, name = "age", a = 0.2, b = 17, agemin = 1,
       agemax = 50, k = 1, bystreet = F, net, verbose = FALSE, namerows)
    - +

    Arguments

    @@ -162,11 +172,10 @@

    Arg regions or streets.

    - +

    Value

    dataframe of age distrubution of vehicles at each street

    -

    Note

    The functions age* produce distribution of the circulating fleet by age of use. @@ -179,15 +188,14 @@

    Note

    you dont know the sales or registry of vehicles, but somehow you know the shape of this curve. 4. You can use/merge/transform/adapt any of these functions.

    -

    Examples

    { -data(net) +data(net) LT_B5 <- age_hdv(x = net$hdv,name = "LT_B5") -plot(LT_B5) +plot(LT_B5) LT_B5 <- age_hdv(x = net$hdv, name = "LT_B5", net = net) -plot(LT_B5) +plot(LT_B5) }
    #> #> Average = 17.12
    #> Warning: plotting the first 9 out of 50 attributes; use max.plot = 50 to plot all
    @@ -195,30 +203,31 @@

    Examp

    Contents

    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
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    - @@ -94,6 +105,7 @@ +
    @@ -105,14 +117,12 @@

    Returns amount of vehicles at each age

    -

    age_ldv returns amount of vehicles at each age

    -
    age_ldv(x, name = "age", a = 1.698, b = -0.2, agemin = 1,
       agemax = 50, k = 1, bystreet = F, net, verbose = FALSE, namerows)
    - +

    Arguments

    @@ -162,11 +172,10 @@

    Arg regions or streets.

    - +

    Value

    dataframe of age distrubution of vehicles

    -

    Note

    The functions age* produce distribution of the circulating fleet by age of use. @@ -181,15 +190,14 @@

    Note

    4. You can use/merge/transform/adapt any of these functions.

    It consists in a Gompertz equation with default parameters from 1 national emissions inventory for green housegases in Brazil, MCT 2006

    -

    Examples

    { -data(net) +data(net) PC_E25_1400 <- age_ldv(x = net$ldv, name = "PC_E25_1400") -plot(PC_E25_1400) +plot(PC_E25_1400) PC_E25_1400 <- age_ldv(x = net$ldv, name = "PC_E25_1400", net = net) -plot(PC_E25_1400) +plot(PC_E25_1400) }
    #> #> Average = 11.17
    #> Warning: plotting the first 9 out of 50 attributes; use max.plot = 50 to plot all
    @@ -197,30 +205,31 @@

    Examp

    Contents

    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
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    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/fe2015.html b/docs/reference/fe2015.html index fea77803..3c015b18 100755 --- a/docs/reference/fe2015.html +++ b/docs/reference/fe2015.html @@ -8,21 +8,32 @@ Emission factors from Environmental Agency of Sao Paulo CETESB — fe2015 • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
    @@ -106,14 +118,13 @@

    Emission factors from Environmental Agency of Sao Paulo CETESB

    -

    A dataset containing emission factors from CETESB and its equivalency with EURO

    -
    -
    data(fe2015)
    - +
    data(fe2015)
    + +

    Format

    A data frame with 288 rows and 12 variables:

    @@ -133,39 +144,40 @@

    Format

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    PC_G

    CETESB emission standard for Passenger Cars with Gasoline (g/km)

    LT

    CETESB emission standard for Light Trucks with Diesel (g/km)

    + -

    Source

    https://cetesb.sp.gov.br/

    - +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/fkm.html b/docs/reference/fkm.html index 0b0b44d9..ff70a2b0 100755 --- a/docs/reference/fkm.html +++ b/docs/reference/fkm.html @@ -8,21 +8,32 @@ List of functions of mileage in km fro Brazilian fleet — fkm • vein + + + + + + + + + - + + - - + + + @@ -30,18 +41,18 @@ - + - + @@ -52,6 +63,7 @@ + @@ -68,7 +80,7 @@ vein - 0.7.13 + 0.8.0 @@ -76,7 +88,7 @@ - @@ -97,6 +108,7 @@ +
    @@ -108,16 +120,15 @@

    List of functions of mileage in km fro Brazilian fleet

    -

    Functions from CETESB: Antonio de Castro Bruni and Marcelo Pereira Bales. 2013. Curvas de intensidade de uso por tipo de veiculo automotor da frota da cidade de Sao Paulo This functions depends on the age of use of the vehicle

    -
    -
    data(fkm)
    - +
    data(fkm)
    + +

    Format

    A data frame with 288 rows and 12 variables:

    @@ -134,39 +145,40 @@

    FormatKM_ATRUCKS_B5

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z<-^!eQVZ-5)ARmWxZRhttA{e3u0yEEQ`0GB_h_0Ms2CmDju?^kGrLjoWJ`@qTo9(S z)|U7`ny$hts_tvgFfepTcS=f0cM1qfgOs#1NHg>uxBK`c5sKB9`44K zp-)j~u~n

Mileage in km of Articulated Trucks using Diesel with 5% biodiesel

KM_MOTO_E25

Mileage in km of Motorcycles using Gasoline with 25% Ethanol

KM_LDV_GNV

Mileage in km of Light Duty Vehicles using Natural Gas

+ -

Source

https://cetesb.sp.gov.br/

- +
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/fuel_corr.html b/docs/reference/fuel_corr.html index 29baba2c..a3f7b897 100644 --- a/docs/reference/fuel_corr.html +++ b/docs/reference/fuel_corr.html @@ -8,21 +8,32 @@ Correction due Fuel effects — fuel_corr • vein + + + + + + + + + - + + - - + + + @@ -30,17 +41,17 @@ - + - + @@ -51,6 +62,7 @@ + @@ -67,7 +79,7 @@ vein - 0.7.13 + 0.8.0 @@ -75,7 +87,7 @@ - @@ -96,6 +107,7 @@ +
@@ -107,16 +119,14 @@

Correction due Fuel effects

-

Take into account the effect of better fuels on vehicles with older technology. If the ratio is less than 1, return 1. It means that it is nota degradation function.

-
-
fuel_corr(euro, g = c(e100 = 52, aro = 39, o2 = 0.4, e150 = 86, olefin =
-  10, s = 165), d = c(den = 840, pah = 9, cn = 51, t95 = 350, s = 400))
- +
fuel_corr(euro, g = c(e100 = 52, aro = 39, o2 = 0.4, e150 = 86, olefin =
+  10, s = 165), d = c(den = 840, pah = 9, cn = 51, t95 = 350, s = 400))
+

Arguments

@@ -138,11 +148,10 @@

Arg (Back end distillation in Celcius degrees) and s (sulphur, ppm)

- +

Value

A list with the correction of emission factors.

-

Note

This function cannot be used to account for deterioration, therefore, @@ -160,42 +169,42 @@

Note

PAH = Aromatics content in

CN = Cetane number

T95 = Back-end distillation in o C.

-

Examples

{ f <- fuel_corr(euro = "I") -names(f) +names(f) }
#> [1] "LDVG" "LDVD" "HDV"
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/grid_emis.html b/docs/reference/grid_emis.html index 3616038b..eb40b1bc 100644 --- a/docs/reference/grid_emis.html +++ b/docs/reference/grid_emis.html @@ -8,21 +8,32 @@ Allocate emissions gridded emissions into streets (grid to emis street) — grid_emis • vein + + + + + + + + + - + + - - + + + @@ -30,18 +41,18 @@ - + - + @@ -52,6 +63,7 @@ + @@ -68,7 +80,7 @@ vein - 0.7.13 + 0.8.0 @@ -76,7 +88,7 @@ - @@ -97,6 +108,7 @@ +
@@ -108,16 +120,14 @@

Allocate emissions gridded emissions into streets (grid to emis street)

-

grid_emis it is sort of the opposite of emis_grid. It allocates gridded emissions into streets. This function applies emis_dist into each grid cell using lapply. This function is in development and pull request are welcome.

-
grid_emis(spobj, g, sr, pro, osm, verbose = TRUE)
- +

Arguments

@@ -157,83 +167,83 @@

Arg

Logical; to show more info.

- +

Note

When spobj is a 'Spatial' object (class of sp), they are converted into 'sf'.

-

Examples

{ -data(net) -data(pc_profile) -data(fkm) -PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923, -133833,138441,142682,171029,151048,115228,98664,126444,101027, - 84771,55864,36306,21079,20138,17439, 7854,2215,656,1262,476,512, -1181, 4991, 3711, 5653, 7039, 5839, 4257,3824, 3068) -pc1 <- my_age(x = net$ldv, y = PC_G, name = "PC") -# Estimation for morning rush hour and local emission factors -lef <- EmissionFactorsList(ef_cetesb("CO", "PC_G")) -E_CO <- emis(veh = pc1,lkm = net$lkm, ef = lef, - profile = 1) -E_CO_STREETS <- emis_post(arra = E_CO, by = "streets", net = net) - -g <- make_grid(net, 1/102.47/2) #500m in degrees - -gCO <- emis_grid(spobj = E_CO_STREETS, g = g) -gCO$emission <- gCO$V1 -# -
#> Error: <text>:22:0: unexpected end of input -#> 20: # -#> 21: -#> ^
# NOT RUN { +data(net) +data(pc_profile) +data(fkm) +PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923, +133833,138441,142682,171029,151048,115228,98664,126444,101027, + 84771,55864,36306,21079,20138,17439, 7854,2215,656,1262,476,512, +1181, 4991, 3711, 5653, 7039, 5839, 4257,3824, 3068) +pc1 <- my_age(x = net$ldv, y = PC_G, name = "PC") +# Estimation for morning rush hour and local emission factors +lef <- EmissionFactorsList(ef_cetesb("CO", "PC_G")) +E_CO <- emis(veh = pc1,lkm = net$lkm, ef = lef, + profile = 1) +E_CO_STREETS <- emis_post(arra = E_CO, by = "streets", net = net) + +g <- make_grid(net, 1/102.47/2) #500m in degrees + +gCO <- emis_grid(spobj = E_CO_STREETS, g = g) +gCO$emission <- gCO$V1 +# +if (FALSE) { #do not run -library(osmdata) -library(sf) +library(osmdata) +library(sf) osm <- osmdata_sf( add_osm_feature( -opq(bbox = st_bbox(gCO)), -key = 'highway'))$osm_lines[, c("highway")] -st <- c("motorway", "motorway_link", "trunk", "trunk_link", +opq(bbox = st_bbox(gCO)), +key = 'highway'))$osm_lines[, c("highway")] +st <- c("motorway", "motorway_link", "trunk", "trunk_link", "primary", "primary_link", "secondary", "secondary_link", "tertiary", "tertiary_link") osm <- osm[osm$highway %in% st, ] -plot(osm, axes = T) +plot(osm, axes = T) xnet <- grid_emis(osm, gCO) -plot(xnet, axes = T) -# }
} -
#> Error: <text>:1:1: unexpected '}' -#> 1: } -#> ^
+plot(xnet, axes = T) +} +}
#> Number of lon points: 23 +#> Number of lat points: 19 +#> +#> Sum of street emissions 1502019.27 +#> Sum of gridded emissions 1502019.27
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/index.html b/docs/reference/index.html index ab15cad6..f4c53ed0 100755 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -8,21 +8,32 @@ Function reference • vein + + + + + + + + + - + + - - + + + @@ -30,13 +41,14 @@ - + + @@ -47,6 +59,7 @@ + @@ -63,7 +76,7 @@ vein - 0.7.13 + 0.8.0 @@ -71,7 +84,7 @@ - @@ -92,6 +104,7 @@ +
@@ -554,19 +567,23 @@

Contents

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/invcop.html b/docs/reference/invcop.html index 6374dc26..126f84ba 100644 --- a/docs/reference/invcop.html +++ b/docs/reference/invcop.html @@ -8,21 +8,32 @@ Helper function to copy and zip projects — invcop • vein + + + + + + + + + - + + - - + + + @@ -30,15 +41,15 @@ - + - + @@ -49,6 +60,7 @@ + @@ -65,7 +77,7 @@ vein - 0.7.13 + 0.8.0 @@ -73,7 +85,7 @@ - @@ -94,6 +105,7 @@ +
@@ -105,15 +117,13 @@

Helper function to copy and zip projects

-

invcop help to copy and zip projects

-
-
invcop(in_name = getwd(), out_name, all = FALSE, main = TRUE,
+    
invcop(in_name = getwd(), out_name, all = FALSE, main = TRUE,
   ef = TRUE, est = TRUE, network = TRUE, veh_rds = FALSE,
   veh_csv = TRUE, zip = TRUE)
- +

Arguments

@@ -158,50 +168,48 @@

Arg

Logical; zip or not.

- +

Value

emission estimation g/h

-

Note

This function was created to copy and zip project without the emis.

-

Examples

-
# NOT RUN {
-# Do not run
-# }
-
+
if (FALSE) { +# Do not run +}
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/inventory.html b/docs/reference/inventory.html index aefd67c6..bb9568c1 100644 --- a/docs/reference/inventory.html +++ b/docs/reference/inventory.html @@ -8,21 +8,32 @@ Inventory function. — inventory • vein + + + + + + + + + - + + - - + + + @@ -30,17 +41,17 @@ - + - + @@ -51,6 +62,7 @@ + @@ -67,7 +79,7 @@ vein - 0.7.13 + 0.8.0 @@ -75,7 +87,7 @@ - @@ -96,6 +107,7 @@ +
@@ -107,17 +119,15 @@

Inventory function.

-

inventory produces an structure of directories and scripts in order to run vein. It is required to know the vehicular composition of the fleet.

-
-
inventory(name, vehcomp = c(PC = 1, LCV = 1, HGV = 1, BUS = 1, MC = 1),
+    
inventory(name, vehcomp = c(PC = 1, LCV = 1, HGV = 1, BUS = 1, MC = 1),
   show.main = TRUE, scripts = TRUE, show.dir = TRUE,
   show.scripts = FALSE, clear = TRUE, rush.hour = FALSE)
- +

Arguments

@@ -160,7 +170,7 @@

Arg

Logical, to create a template for morning rush hour.

- +

Value

Structure of directories and scripts for automating compilation of @@ -195,42 +205,42 @@

Value

estimation of emissions of each category. Also, there is a file called traffic.R to generates objects of class "Vehicles". The user can rename these scripts.

-

Examples

-
# NOT RUN {
-name = file.path(tempdir(), "YourCity")
+    
if (FALSE) { +name = file.path(tempdir(), "YourCity") inventory(name = name, show.dir = TRUE, show.scripts = TRUE) -source(paste0(name, "/main.R")) -# }
-
+source(paste0(name, "/main.R")) +}
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/long_to_wide.html b/docs/reference/long_to_wide.html index b24d83c8..e6b8859b 100644 --- a/docs/reference/long_to_wide.html +++ b/docs/reference/long_to_wide.html @@ -8,21 +8,32 @@ Transform data.frame from long to wide format — long_to_wide • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
@@ -106,15 +118,13 @@

Transform data.frame from long to wide format

-

long_to_wide transform data.frame from long to wide format

-
-
long_to_wide(df, column_with_new_names = names(df)[1],
+    
long_to_wide(df, column_with_new_names = names(df)[1],
   column_with_data = "emission", column_fixed, geometry)
- +

Arguments

@@ -139,21 +149,19 @@

Arg

To return a sf

- +

Value

wide data.frame.

-

See also

-

Examples

{ -df <- data.frame(pollutant = rep(c("CO", "propadiene", "NO2"), 10), -emission = vein::Emissions(1:30), -region = rep(letters[1:2], 15)) +df <- data.frame(pollutant = rep(c("CO", "propadiene", "NO2"), 10), +emission = vein::Emissions(1:30), +region = rep(letters[1:2], 15)) df long_to_wide(df) long_to_wide(df, column_fixed = "region") @@ -173,30 +181,31 @@

Examp

Contents

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
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bcfe90cf..8e2e0cc9 100755 --- a/docs/reference/make_grid.html +++ b/docs/reference/make_grid.html @@ -8,21 +8,32 @@ Creates rectangular grid for emission allocation — make_grid • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@

- @@ -95,6 +106,7 @@ +
@@ -106,14 +118,12 @@

Creates rectangular grid for emission allocation

-

make_grid creates a sf grid of polygons. The spatial reference is taken from the spatial object.

-
make_grid(spobj, width, height = width, polygon, crs = 4326, ...)
- +

Arguments

@@ -147,54 +157,55 @@

Arg

ignored

- +

Value

A grid of polygons class 'sf'

-

Examples

{ -data(net) +data(net) grid <- make_grid(net, width = 0.5/102.47) #500 mts -plot(grid, axes = TRUE) #class sf -wrf <- paste(system.file("extdata", package = "eixport"), +plot(grid, axes = TRUE) #class sf +wrf <- paste(system.file("extdata", package = "eixport"), "/wrfinput_d02", sep="") gwrf <- make_grid(wrf) -plot(gwrf, axes = TRUE) +plot(gwrf, axes = TRUE) }
#> Number of lon points: 23 #> Number of lat points: 19 -#>
#> path to wrfinput
#> using grid info from: /home/sergio/R/x86_64-pc-linux-gnu-library/3.5/eixport/extdata/wrfinput_d02 +#>
#> path to wrfinput
#> using grid info from: /home/sergio/R/x86_64-pc-linux-gnu-library/3.6/eixport/extdata/wrfinput_d02 #> Number of lat points 51 -#> Number of lon points 63
#> Warning: N is large, and some styles will run very slowly; sampling imposed
+#> Number of lon points 63
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/matvect.html b/docs/reference/matvect.html index b36e96db..92301870 100644 --- a/docs/reference/matvect.html +++ b/docs/reference/matvect.html @@ -8,21 +8,32 @@ Matrix and vector multiplication — matvect • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
@@ -106,14 +118,12 @@

Matrix and vector multiplication

-

matvect it is a helper function to multiply matrices with vector by rows or columns

-
matvect(df, x, by = "row")
- +

Arguments

@@ -130,11 +140,10 @@

Arg

Character, with two value "row" or "col"

- +

Value

data-frame

-

Note

This function multiplies matrices with vectors by rows or colums. @@ -142,44 +151,44 @@

Note

of the vector x. If by = "col" all values of each column will be multiplied with each value of the vector x.

-

Examples

-
# NOT RUN {
+    
if (FALSE) { # Do not run -data(net) +data(net) veh <- age_ldv(net$ldv[1:4], agemax = 4) matvect(veh, 1:4) -# }
+}
+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
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- @@ -95,6 +106,7 @@ +
@@ -106,15 +118,13 @@

Returns amount of vehicles at each age

-

my_age returns amount of vehicles at each age using a numeric vector.

-
my_age(x, y, agemax, name = "vehicle", k = 1, pro_street, net,
   verbose = FALSE, namerows)
- +

Arguments

@@ -163,11 +173,10 @@

Arg regions or streets.

- +

Value

dataframe of age distrubution of vehicles.

-

Note

The functions age* produce distribution of the circulating fleet by age of use. @@ -180,23 +189,22 @@

Note

you dont know the sales or registry of vehicles, but somehow you know the shape of this curve. 4. You can use/merge/transform/adapt any of these functions.

-

Examples

{ -data(net) -dpc <- c(seq(1,20,3), 20:10) +data(net) +dpc <- c(seq(1,20,3), 20:10) PC_E25_1400 <- my_age(x = net$ldv, y = dpc, name = "PC_E25_1400") -class(PC_E25_1400) -plot(PC_E25_1400) +class(PC_E25_1400) +plot(PC_E25_1400) PC_E25_1400sf <- my_age(x = net$ldv, y = dpc, name = "PC_E25_1400", net = net) -class(PC_E25_1400sf) -plot(PC_E25_1400sf) -PC_E25_1400nsf <- sf::st_set_geometry(PC_E25_1400sf, NULL) -class(PC_E25_1400nsf) -yy <- data.frame(a = 1:5, b = 5:1) # perfiles por categoria de calle -pro_street <- c("a", "b", "a") # categorias de cada calle -x <- c(100,5000, 3) # vehiculos +class(PC_E25_1400sf) +plot(PC_E25_1400sf) +PC_E25_1400nsf <- sf::st_set_geometry(PC_E25_1400sf, NULL) +class(PC_E25_1400nsf) +yy <- data.frame(a = 1:5, b = 5:1) # perfiles por categoria de calle +pro_street <- c("a", "b", "a") # categorias de cada calle +x <- c(100,5000, 3) # vehiculos my_age(x = x, y = yy, pro_street = pro_street) }
#> #> Average = 10.21
#> Warning: plotting the first 9 out of 18 attributes; use max.plot = 18 to plot all
#> vehicle_1 vehicle_2 vehicle_3 vehicle_4 @@ -212,30 +220,31 @@

Examp

Contents

+
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
+ + diff --git a/docs/reference/net.html b/docs/reference/net.html index 3f72a306..55bd04bc 100755 --- a/docs/reference/net.html +++ b/docs/reference/net.html @@ -8,21 +8,32 @@ Road network of the west part of Sao Paulo city — net • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
@@ -106,14 +118,13 @@

Road network of the west part of Sao Paulo city

-

This dataset is a SpatialLineDataFrame of sp package with roads from a traffic simulations made by CET Sao Paulo, Brazil

-
-
data(net)
- +
data(net)
+ +

Format

A data frame with 1796 rows and 1 variables:

@@ -126,39 +137,40 @@

Formatlanes

Number of lanes per link

capacity

Capacity of vehicles in each link (1/h)

tmin

Time for travelling each link (min)

+

-

Source

http://www.cetsp.com.br/

- +
-

Site built with pkgdown 1.3.0.

+

Site built with pkgdown 1.4.0.

+
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zzrA1y>Y1a*(}ZYF>c{C_P3WZ-D2+JzSx4GDHhaF?mr_}uJwp)_6I=0(lnSB5)t@ - @@ -95,6 +106,7 @@ +
    @@ -106,15 +118,13 @@

    Calculate speeds of traffic network

    -

    netspeed Creates a dataframe of speeds fir diferent hours and each link based on morning rush traffic data

    -
    netspeed(q = 1, ps, ffs, cap, lkm, alpha = 0.15, beta = 4, net,
       scheme = FALSE, distance = "km", time = "h", isList)
    - +

    Arguments

    @@ -154,17 +164,13 @@

    Arg

    @@ -182,55 +188,56 @@

    Arg

    scheme

    Logical to create a Speed data-frame with 24 hours and a default profile. It needs ffs and ps:

    - - + - - + - - + - - +
    00:00-06:00
    ffs
    00:00-06:00ffs
    06:00-07:00average between ffs and ps
    07:00-10:00
    ps
    07:00-10:00ps
    10:00-17:00average between ffs and ps
    17:00-20:00
    ps
    17:00-20:00ps
    20:00-22:00average between ffs and ps
    22:00-00:00
    ffs
    22:00-00:00ffs

    Deprecated

    - +

    Value

    dataframe speeds with units or sf.

    -

    Examples

    { -data(net) -data(pc_profile) +data(net) +data(pc_profile) pc_week <- temp_fact(net$ldv+net$hdv, pc_profile) df <- netspeed(pc_week, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1) -class(df) -plot(df) #plot of the average speed at each hour, +- sd +class(df) +plot(df) #plot of the average speed at each hour, +- sd df <- netspeed(ps = net$ps, ffs = net$ffs, scheme = TRUE) -class(df) -plot(df) #plot of the average speed at each hour, +- sd +class(df) +plot(df) #plot of the average speed at each hour, +- sd dfsf <- netspeed(ps = net$ps, ffs = net$ffs, scheme = TRUE, net = net) -class(dfsf) -head(dfsf) -plot(dfsf) #plot of the average speed at each hour, +- sd +class(dfsf) +head(dfsf) +plot(dfsf) #plot of the average speed at each hour, +- sd }
    #> Warning: plotting the first 9 out of 24 attributes; use max.plot = 24 to plot all
    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/pc_cold.html b/docs/reference/pc_cold.html index 3ef66e08..9382448f 100755 --- a/docs/reference/pc_cold.html +++ b/docs/reference/pc_cold.html @@ -8,21 +8,32 @@ Profile of Vehicle start patterns — pc_cold • vein + + + + + + + + + - + + - - + + + @@ -30,18 +41,18 @@ - + - + @@ -52,6 +63,7 @@ + @@ -68,7 +80,7 @@ vein - 0.7.13 + 0.8.0 @@ -76,7 +88,7 @@ - @@ -97,6 +108,7 @@ +
    @@ -108,47 +120,49 @@

    Profile of Vehicle start patterns

    -

    This dataset is a dataframe with percetage of hourly starts with a lapse of 6 hours with engine turned off. Data source is: Lents J., Davis N., Nikkila N., Osses M. 2004. Sao Paulo vehicle activity study. ISSRC. www.issrc.org

    -
    -
    data(pc_cold)
    - +
    data(pc_cold)
    + +

    Format

    A data frame with 24 rows and 1 variables:

    V1

    24 hours profile vehicle starts for Monday

    +
    - +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/pc_profile.html b/docs/reference/pc_profile.html index 2ff203d9..569a87f1 100755 --- a/docs/reference/pc_profile.html +++ b/docs/reference/pc_profile.html @@ -8,21 +8,32 @@ Profile of traffic data 24 hours 7 n days of the week — pc_profile • vein + + + + + + + + + - + + - - + + + @@ -30,18 +41,18 @@ - + - + @@ -52,6 +63,7 @@ + @@ -68,7 +80,7 @@ vein - 0.7.13 + 0.8.0 @@ -76,7 +88,7 @@ - @@ -97,6 +108,7 @@ +
    @@ -108,16 +120,15 @@

    Profile of traffic data 24 hours 7 n days of the week

    -

    This dataset is a dataframe with traffic activity normalized monday 08:00-09:00. This data is normalized at 08:00-09:00. It comes from data of toll stations near Sao Paulo City. The source is ARTESP (www.artesp.com.br)

    -
    -
    data(pc_profile)
    - +
    data(pc_profile)
    + +

    Format

    A data frame with 24 rows and 7 variables:

    @@ -128,33 +139,36 @@

    FormatV5

    24 hours profile for Friday

    V6

    24 hours profile for Saturday

    V7

    24 hours profile for Sunday

    +

    - +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/pollutants.html b/docs/reference/pollutants.html index 66af18e3..f1eb603b 100644 --- a/docs/reference/pollutants.html +++ b/docs/reference/pollutants.html @@ -8,21 +8,32 @@ Data.frame with pollutants names and molar mass used in VEIN — pollutants • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
    @@ -106,14 +118,13 @@

    Data.frame with pollutants names and molar mass used in VEIN

    -

    This dataset also includes MIR, MOIR and EBIR is Carter SAPRC07.xls https://www.engr.ucr.edu/~carter/SAPRC/

    -
    -
    data(pollutants)
    - +
    data(pollutants)
    + +

    Format

    A data frame with 148 rows and 10 variables:

    @@ -130,33 +141,36 @@

    FormatMOIR

    Reactivity (gm O3 / gm VOC)

    EBIR

    Reactivity (gm O3 / gm VOC)

    notes

    Inform some assumption for molar mass

    +

    - +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/profiles.html b/docs/reference/profiles.html index 2f180234..c38e6c84 100644 --- a/docs/reference/profiles.html +++ b/docs/reference/profiles.html @@ -8,21 +8,32 @@ Profile of traffic data 24 hours 7 n days of the week — profiles • vein + + + + + + + + + - + + - - + + + @@ -30,19 +41,19 @@ - + - + @@ -53,6 +64,7 @@ + @@ -69,7 +81,7 @@ vein - 0.7.13 + 0.8.0 @@ -77,7 +89,7 @@ - @@ -98,6 +109,7 @@ +
    @@ -109,17 +121,16 @@

    Profile of traffic data 24 hours 7 n days of the week

    -

    This dataset is n a list of data-frames with traffic activity normalized monday 08:00-09:00. It comes from data of toll stations near Sao Paulo City. The source is ARTESP (www.artesp.com.br) for months January and June and years 2012, 2013 and 2014. The type of vehicles covered are PC, MC, MC and HGV.

    -
    -
    data(pc_profile)
    - +
    data(pc_profile)
    + +

    Format

    A list of data-frames with 24 rows and 7 variables:

    @@ -146,33 +157,36 @@

    FormatHGV_JANUARY_2012

    168 hours

    HGV_JANUARY_2013

    168 hours

    HGV_JANUARY_2014

    168 hours

    +

    - +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/remove_units.html b/docs/reference/remove_units.html index abe2b8fd..ba8be00c 100644 --- a/docs/reference/remove_units.html +++ b/docs/reference/remove_units.html @@ -8,21 +8,32 @@ Remove units — remove_units • vein + + + + + + + + + - + + - - + + + @@ -30,15 +41,15 @@ - + - + @@ -49,6 +60,7 @@ + @@ -65,7 +77,7 @@ vein - 0.7.13 + 0.8.0 @@ -73,7 +85,7 @@ - @@ -94,6 +105,7 @@ +
    @@ -105,13 +117,11 @@

    Remove units

    -

    remove_units Remove units from data.frames, matrix or units.

    -
    remove_units(x)
    - +

    Arguments

    @@ -120,18 +130,17 @@

    Arg

    Object with class "data.frame", "matrix" or "units"

    - +

    Value

    "data.frame", "matrix" or numeric

    -

    Examples

    { -ef1 <- ef_cetesb(p = "CO", c("PC_G", "PC_FE")) -class(ef1) +ef1 <- ef_cetesb(p = "CO", c("PC_G", "PC_FE")) +class(ef1) ef1 -sapply(ef1, class) +sapply(ef1, class) a <- remove_units(ef1) a }
    #> PC_G PC_FE @@ -202,28 +211,30 @@

    Examp

    Contents

    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/running_losses-deprecated.html b/docs/reference/running_losses-deprecated.html index a58c1b75..460272e1 100644 --- a/docs/reference/running_losses-deprecated.html +++ b/docs/reference/running_losses-deprecated.html @@ -8,21 +8,32 @@ Estimation of average daily hot-soak evaporative emissions — running_losses-deprecated • vein + + + + + + + + + - + + - - + + + @@ -30,18 +41,18 @@ - + - + @@ -52,6 +63,7 @@ + @@ -68,7 +80,7 @@ vein - 0.7.13 + 0.8.0 @@ -76,7 +88,7 @@ - @@ -97,6 +108,7 @@ +
    @@ -108,15 +120,13 @@

    Estimation of average daily hot-soak evaporative emissions

    -

    hot_soak estimates of evaporative emissions from EMEP/EEA emisison guidelines

    running_losses estimates evaporative emissions from EMEP/EEA emisison guidelines

    -
    - +

    Arguments

    @@ -179,45 +189,45 @@

    Arg for vehicles with carburator or fuel return system

    - +

    Value

    numeric vector of emission estimation in grams

    numeric vector of emission estimation in grams

    -

    See also

    - +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/speciate.html b/docs/reference/speciate.html index 38721ee1..6c19dcd1 100755 --- a/docs/reference/speciate.html +++ b/docs/reference/speciate.html @@ -8,21 +8,32 @@ Speciation of emissions — speciate • vein + + + + + + + + + - + + - - + + + @@ -30,17 +41,17 @@ - + - + @@ -51,6 +62,7 @@ + @@ -67,7 +79,7 @@ vein - 0.7.13 + 0.8.0 @@ -75,7 +87,7 @@ - @@ -96,6 +107,7 @@ +
    @@ -107,16 +119,14 @@

    Speciation of emissions

    -

    speciate separates emissions in different compounds. It covers black carbon and organic matter from particulate matter. Soon it will be added more speciations

    -
    speciate(x, spec = "bcom", veh, fuel, eu, show = FALSE, list = FALSE,
       pmpar)
    - +

    Arguments

    @@ -186,11 +196,10 @@

    Arg argument is preseent, new values are used.

    - +

    Value

    dataframe of speciation in grams or mols

    -

    Note

    when spec = "iag": @@ -204,7 +213,6 @@

    Note

    cidade de Manaus nas concentracoes de poluentes atmosfericos da regiao amazonica, Master thesis, Londrina: Universidade Tecnologica Federal do Parana, 2015.

    -

    References

    "bcom": Ntziachristos and Zamaras. 2016. Passneger cars, light @@ -233,12 +241,11 @@

    R stationary sources, prepared by Ying Hsu and Randy Strait of E.H. Pechan Associates, Inc. for David Niemi, Marc Deslauriers, and Lisa Graham of Environment Canada, September 26, 2006.

    -

    Examples

    { # Do not run -pm <- rnorm(n = 100, mean = 400, sd = 2) +pm <- rnorm(n = 100, mean = 400, sd = 2) df <- speciate(pm, veh = "PC", fuel = "G", eu = "I") dfa <- speciate(pm, spec = "e_eth", veh = "veh", fuel = "G", eu = "Exhaust") dfb <- speciate(pm, spec = "e_tol", veh = "veh", fuel = "G", eu = "Exhaust") @@ -249,32 +256,32 @@

    Examp

    Contents

    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/split_emis.html b/docs/reference/split_emis.html index 42f8211d..cbf989fa 100644 --- a/docs/reference/split_emis.html +++ b/docs/reference/split_emis.html @@ -8,21 +8,32 @@ Split street emissions based on a grid — split_emis • vein + + + + + + + + + - + + - - + + + @@ -30,15 +41,15 @@ - + - + @@ -49,6 +60,7 @@ + @@ -65,7 +77,7 @@ vein - 0.7.13 + 0.8.0 @@ -73,7 +85,7 @@ - @@ -94,6 +105,7 @@ +
    @@ -105,13 +117,11 @@

    Split street emissions based on a grid

    -

    split_emis split street emissions into a grid.

    -
    split_emis(net, distance, add_column, verbose = TRUE)
    - +

    Arguments

    @@ -135,21 +145,21 @@

    Arg

    Logical, to show more information.

    - +

    Examples

    { -data(net) +data(net) g <- make_grid(net, 1/102.47/2) #500m in degrees -names(net) -dim(net) -netsf <- sf::st_as_sf(net)[, "ldv"] +names(net) +dim(net) +netsf <- sf::st_as_sf(net)[, "ldv"] x <- split_emis(netsf, g) -dim(x) -g$A <- rep(letters, length = 20)[1:nrow(g)] -g$B <- rev(g$A) -netsf <- sf::st_as_sf(net)[, c("ldv", "hdv")] -xx <- split_emis(netsf, g, add_column = c("A", "B")) +dim(x) +g$A <- rep(letters, length = 20)[1:nrow(g)] +g$B <- rev(g$A) +netsf <- sf::st_as_sf(net)[, c("ldv", "hdv")] +xx <- split_emis(netsf, g, add_column = c("A", "B")) }
    #> Number of lon points: 23 #> Number of lat points: 19 #> @@ -163,26 +173,29 @@

    Examp

    Contents

    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
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+ @@ -51,6 +62,7 @@ + @@ -67,7 +79,7 @@ vein - 0.7.13 + 0.8.0 @@ -75,7 +87,7 @@ - @@ -96,6 +107,7 @@ +
      @@ -107,15 +119,13 @@

      Expansion of hourly traffic data

      -

      temp_fact is a matrix multiplication between traffic and hourly expansion data-frames to obtain a data-frame of traffic at each link to every hour

      -
      temp_fact(q, pro, net)
      - +

      Arguments

      @@ -132,21 +142,20 @@

      Arg

      SpatialLinesDataFrame or Spatial Feature of "LINESTRING"

      - +

      Value

      data-frames of expanded traffic or sf.

      -

      Examples

      { # Do not run -data(net) -data(pc_profile) +data(net) +data(pc_profile) pc_week <- temp_fact(net$ldv+net$hdv, pc_profile) -plot(pc_week) +plot(pc_week) pc_weeksf <- temp_fact(net$ldv+net$hdv, pc_profile, net = net) -plot(pc_weeksf) +plot(pc_weeksf) }
      #> #> Average = 83.17
      #> Warning: plotting the first 9 out of 168 attributes; use max.plot = 168 to plot all
      @@ -154,28 +163,30 @@

      Examp

      Contents

      +
      -

      Site built with pkgdown 1.3.0.

      +

      Site built with pkgdown 1.4.0.

      +
      + + diff --git a/docs/reference/to_latex.html b/docs/reference/to_latex.html index da8ae125..01cfdc3f 100644 --- a/docs/reference/to_latex.html +++ b/docs/reference/to_latex.html @@ -8,21 +8,32 @@ creates a .tex a table from a data.frame — to_latex • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
      @@ -106,14 +118,12 @@

      creates a .tex a table from a data.frame

      -

      \code\linkto_latex reads a data.frme an dgenerates a .tex table, aiming to replicate the method of tablegenerator.com

      -
      to_latex(df, file, caption = "My table", label = "tab:df")
      - +

      Arguments

      @@ -134,28 +144,26 @@

      Arg

      Character, label of table

      - +

      Value

      a text file with extension .tex.

      -

      See also

      \code\linkvein_notes \code\linklong_to_wide

      -

      Examples

      { -df <- data.frame(pollutant = rep(c("CO", "propadiene", "NO2"), 10), - emission = vein::Emissions(1:30), - region = rep(letters[1:2], 15)) +df <- data.frame(pollutant = rep(c("CO", "propadiene", "NO2"), 10), + emission = vein::Emissions(1:30), + region = rep(letters[1:2], 15)) df long_to_wide(df) (df2 <- long_to_wide(df, column_fixed = "region")) to_latex(df2) to_latex(long_to_wide(df, column_fixed = "region"), -file = paste0(tempfile(), ".tex")) -}
      #> % Generated with vein 0.7.13 +file = paste0(tempfile(), ".tex")) +}
      #> % Generated with vein 0.8.0 #> % Please add the following required packages to your document preamble: #> % \usepackage{booktabs} #> % \usepackage{graphicx} @@ -179,36 +187,37 @@

      Examp #> \end{tabular}% #> } #> \end{table} -#> /tmp/RtmpFLQNrl/file704f62d81f57.tex

      +#> /tmp/RtmpE4K6e3/file49db5c41f071.tex
    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/vein-deprecated.html b/docs/reference/vein-deprecated.html index e0a859fe..38e21517 100644 --- a/docs/reference/vein-deprecated.html +++ b/docs/reference/vein-deprecated.html @@ -8,21 +8,32 @@ DEPRECATED Construction function for class "EmissionsList" — vein-deprecated • vein + + + + + + + + + - + + - - + + + @@ -30,8 +41,8 @@ - + - + @@ -57,6 +68,7 @@ + @@ -73,7 +85,7 @@ vein - 0.7.13 + 0.8.0 @@ -81,7 +93,7 @@ - @@ -102,6 +113,7 @@ +
    @@ -113,7 +125,6 @@

    DEPRECATED Construction function for class "EmissionsList"

    -

    EmissionsList returns a tranformed object with class "EmissionsList".

    Evaporative returns a tranformed object with class "Evaporative" and units g. This class represents the daily emissions presented by @@ -122,38 +133,37 @@

    DEPRECATED Construction function for class "EmissionsList"

    The functions listed below are deprecated and will be defunct in the near future. When possible, alternative functions with similar functionality are also mentioned. Help pages for deprecated functions are - available at help("-deprecated").

    - + available at help("-deprecated").

    EmissionsList(x, ...)
     
     # S3 method for EmissionsList
    -print(x, ...)
    +print(x, ...)
     
     # S3 method for EmissionsList
    -summary(object, ...)
    +summary(object, ...)
     
     # S3 method for EmissionsList
    -plot(x, ...)
    +plot(x, ...)
     
     Evaporative(x, ...)
     
     # S3 method for Evaporative
    -print(x, ...)
    +print(x, ...)
     
     # S3 method for Evaporative
    -summary(object, ...)
    +summary(object, ...)
     
     # S3 method for Evaporative
    -plot(x, ...)
    +plot(x, ...)
     
     emis_wrf(sdf, nr = 1, dmyhm, tz, crs = 4326, islist, utc)
     
     hot_soak(x, carb, p, eshotc, eswarmc, eshotfi)
     
     running_losses(x, erhotfi, lkm, carb, p, erhotc, erwarmc)
    - +

    Arguments

    @@ -182,20 +192,22 @@

    Arg

    ignored

    - +

    Value

    Objects of class "EmissionsList" and numeric elements as "units"

    Objects of class "Evaporative" or "units"

    -

    Evaporative

    -

    For Evaporative, use emis_evap.

    -

    For emis_wrf, use eixport::to_as4wrf.

    -

    For running_losses, use emis_evap.

    -

    For running_losses, use emis_evap.

    - + +

    For Evaporative, use emis_evap.

    + +

    For emis_wrf, use eixport::to_as4wrf.

    + +

    For running_losses, use emis_evap.

    + +

    For running_losses, use emis_evap.

    References

    Mellios G and Ntziachristos 2016. Gasoline evaporation. In: @@ -204,66 +216,61 @@

    R

    Mellios G and Ntziachristos 2016. Gasoline evaporation. In: EEA, EMEP. EEA air pollutant emission inventory guidebook-2009. European Environment Agency, Copenhagen, 2009

    -

    See also

    vein-deprecated

    vein-deprecated

    -

    Examples

    -
    # NOT RUN {
    -# do not run
    -# DEPRECATED
    -# }
    -# NOT RUN {
    -# do not run
    -# DEPRECATED
    -# }
    -# NOT RUN {
    -# Do not run
    -# }
    -# NOT RUN {
    -# Do not run
    -# }
    -# NOT RUN {
    -# Do not run
    -# }
    -
    -
    +
    if (FALSE) { +# do not run +# DEPRECATED +} +if (FALSE) { +# do not run +# DEPRECATED +} +if (FALSE) { +# Do not run +} +if (FALSE) { +# Do not run +} +if (FALSE) { +# Do not run +}
    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/vein-package.html b/docs/reference/vein-package.html index 729aacd2..6e155c4b 100644 --- a/docs/reference/vein-package.html +++ b/docs/reference/vein-package.html @@ -8,21 +8,32 @@ vein: Vehicular Emissions Inventories — vein-package • vein + + + + + + + + + - + + - - + + + @@ -30,8 +41,8 @@ - + - + @@ -56,6 +67,7 @@ + @@ -72,7 +84,7 @@ vein - 0.7.13 + 0.8.0 @@ -80,7 +92,7 @@ - @@ -101,6 +112,7 @@ +
    @@ -112,7 +124,6 @@

    vein: Vehicular Emissions Inventories

    -

    Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing @@ -121,25 +132,25 @@

    vein: Vehicular Emissions Inventories

    Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the function inventory to create a structure of directories and template scripts.

    -
    - + +

    See also

    - + + + +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/vein_notes.html b/docs/reference/vein_notes.html index 949e5d70..9bea530b 100644 --- a/docs/reference/vein_notes.html +++ b/docs/reference/vein_notes.html @@ -8,21 +8,32 @@ vein_notes for writting technical notes about the inventory — vein_notes • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
    @@ -106,19 +118,31 @@

    vein_notes for writting technical notes about the inventory

    -

    vein_notes creates aa text file '.txt' for writting technical notes about this emissions inventory

    -
    -
    vein_notes(file = "README", title, yourname, approach = "Top Down",
    -  traffic, composition, ef, cold_start, evaporative, standards, mileage,
    -  notes)
    - +
    vein_notes(notes, yourname, file = "README",
    +  title = "Notes for this VEIN run", approach = "Top Down",
    +  traffic = "Your traffic information",
    +  composition = "Your traffic information",
    +  ef = "Your information about emission factors",
    +  cold_start = "Your information about cold starts",
    +  evaporative = "Your information about evaporative emission factors",
    +  standards = "Your information about standards",
    +  mileage = "Your information about mileage")
    +

    Arguments

    + + + + + + + + - - - - @@ -165,108 +185,101 @@

    Arg

    - - - -
    notes

    Character; vector of notes.

    yourname

    Character; Name of the inventor compiler.

    file

    Character; Name of the file. The function will generate a file @@ -129,10 +153,6 @@

    Arg

    Character; Title of this file. For instance: "Vehicular Emissions Inventory of Region XX, Base year XX"

    yourname

    Character; Name of the inventor compiler.

    approach

    Character; vector of notes.

    mileage

    Character; vector of notes.

    notes

    Character; vector of notes.

    - +

    Value

    Writes a text file.

    -

    Examples

    { -(a <- tempfile()) -vein_notes(a, -approach = "Top Down", -traffic = "traffic", -composition = "composition", -ef = "ef", -cold_start = "included", -evaporative = "included", -standards = "standards", -mileage = "mileage") -readLines(paste0(a, '.txt')) +(a <- tempfile()) +vein_notes("notes", + file = a) +readLines(paste0(a, '.txt')) }
    #> [1] "========================================" #> [2] "Vehicular Emissions Inventory on REGIONXX BASE YEAR XXXX" #> [3] "========================================" #> [4] "" #> [5] "Directory: /home/sergio/models/vein/docs/reference" #> [6] "" -#> [7] "Local Time: 2019-08-06 01:49:17" +#> [7] "Local Time: 2019-09-05 15:00:18" #> [8] "Inventory compiler: sergio" #> [9] "========================================" #> [10] "" #> [11] "sysname = Linux" -#> [12] "release = 4.19.0-5-amd64" -#> [13] "version = #1 SMP Debian 4.19.37-5+deb10u1 (2019-07-19)" -#> [14] "nodename = nt-ibarra" +#> [12] "release = 5.0.0-27-generic" +#> [13] "version = #28-Ubuntu SMP Tue Aug 20 19:53:07 UTC 2019" +#> [14] "nodename = sergio-pc" #> [15] "machine = x86_64" #> [16] "user = sergio" -#> [17] "R version = 3.5.2" -#> [18] "nickname = Eggshell Igloo" -#> [19] "Memory used = 1424Mb " +#> [17] "R version = 3.6.1" +#> [18] "nickname = Action of the Toes" +#> [19] "Memory used = 1696Mb " #> [20] "========================================" #> [21] "" -#> [22] "VEIN version = 0.7.13" +#> [22] "VEIN version = 0.8.0" #> [23] "========================================" #> [24] "" #> [25] "Traffic:" -#> [26] "traffic" +#> [26] "Your traffic information" #> [27] "" #> [28] "Approach:" #> [29] "Top Down" #> [30] "" #> [31] "Vehicular composition:" -#> [32] "composition" +#> [32] "Your traffic information" #> [33] "" #> [34] "Emission Factors:" -#> [35] "ef" +#> [35] "Your information about emission factors" #> [36] "" #> [37] "Cold starts:" -#> [38] "included" +#> [38] "Your information about cold starts" #> [39] "" #> [40] "Evaporative:" -#> [41] "included" +#> [41] "Your information about evaporative emission factors" #> [42] "" #> [43] "Traffic standards:" -#> [44] "standards" +#> [44] "Your information about standards" #> [45] "" #> [46] "Traffic mileage:" -#> [47] "mileage" +#> [47] "Your information about mileage" #> [48] "" -#> [49] "" -#> [50] "" -#> [51] "Thanks for using VEIN"
    +#> [49] "Notes:" +#> [50] "notes" +#> [51] "" +#> [52] "" +#> [53] "" +#> [54] "Thanks for using VEIN"
    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/vkm.html b/docs/reference/vkm.html index f4e6356c..25ebb907 100755 --- a/docs/reference/vkm.html +++ b/docs/reference/vkm.html @@ -8,21 +8,32 @@ Estimation of VKM — vkm • vein + + + + + + + + + - + + - - + + + @@ -30,17 +41,17 @@ - + - + @@ -51,6 +62,7 @@ + @@ -67,7 +79,7 @@ vein - 0.7.13 + 0.8.0 @@ -75,7 +87,7 @@ - @@ -96,6 +107,7 @@ +
    @@ -107,16 +119,14 @@

    Estimation of VKM

    -

    vkm consists in the product of the number of vehicles and the distance driven by these vehicles in km. This function reads hourly vehiles and then extrapolates the vehicles

    -
    -
    vkm(veh, lkm, profile, hour = nrow(profile), day = ncol(profile),
    +    
    vkm(veh, lkm, profile, hour = nrow(profile), day = ncol(profile),
       array = TRUE, as_df = TRUE)
    - +

    Arguments

    @@ -150,51 +160,52 @@

    Arg

    Logical; when TRUE transform returning array in data.frame (streets x hour*days)

    - +

    Value

    emission estimation of vkm

    -

    Examples

    { # Do not run -pc <- lkm <- abs(rnorm(10,1,1))*100 -pro <- matrix(abs(rnorm(24*7,0.5,1)), ncol=7, nrow=24) +pc <- lkm <- abs(rnorm(10,1,1))*100 +pro <- matrix(abs(rnorm(24*7,0.5,1)), ncol=7, nrow=24) vkms <- vkm(veh = pc, lkm = lkm, profile = pro) -class(vkms) -dim(vkms) +class(vkms) +dim(vkms) vkms2 <- vkm(veh = pc, lkm = lkm, profile = pro, as_df = FALSE) -class(vkms2) -dim(vkms2) +class(vkms2) +dim(vkms2) }
    #> [1] 10 24 7
    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
    + + diff --git a/docs/reference/wide_to_long.html b/docs/reference/wide_to_long.html index 38e69dc0..83f918c9 100644 --- a/docs/reference/wide_to_long.html +++ b/docs/reference/wide_to_long.html @@ -8,21 +8,32 @@ Transform data.frame from wide to long format — wide_to_long • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@ - @@ -95,6 +106,7 @@ +
    @@ -106,14 +118,12 @@

    Transform data.frame from wide to long format

    -

    wide_to_long transform data.frame from wide to long format

    -
    -
    wide_to_long(df, column_with_data = names(df), column_fixed, geometry)
    - +
    wide_to_long(df, column_with_data = names(df), column_fixed, geometry)
    +

    Arguments

    @@ -134,22 +144,20 @@

    Arg

    To return a sf

    - +

    Value

    long data.frame.

    -

    See also

    -

    Examples

    { -data(net) +data(net) net <- net@data df <- wide_to_long(df = net) -head(df) +head(df) }
    #> V1 V2 #> ldv1 4350 ldv #> ldv2 1461 ldv @@ -162,30 +170,31 @@

    Examp

    Contents

    +
    -

    Site built with pkgdown 1.3.0.

    +

    Site built with pkgdown 1.4.0.

    +
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zrB{h`1()dEU@>GC!KO~te+AgoV5R}oB*^Nzv+Fu{uKn8f6Lak@&%&-Id((m2U&d6p z$(po(O+e6rcMo^$?F@S{!l`+AgkNf)DxN~)ZU2io=D}nd=VzoF@2@^%IVq=_ALLg& za?-kCFFwDw8x_&E4Mpj154gc~B(JFKj!-ZbipB%+)88C3IEdqq;;{#o9PBs)eE}?d zE{Gk6)?k0d%`o$5gS*q&eMNsVikeAK4(EM;5y4&ioreSA^o9_?zL;g)g+ILMts(0! zajZ#ec6}_b&58l!8*fYuF#d%14#u|#rhf!4eGE@1xGN%^SHA$j5bpG3>CFRQ9T zB7lat)BjNWe;IlOLO)6KSw5^K^Tz{UKJLKnf5$vy*q`1yd~$M??qM+AE=FJ5mpKJ+AX8i0kD+u1g{rV#wpfcwtKKw%gnxX7q6TJ?61;9en z-w#-vRF+H>2?Drq)~urp?gC_EuPG#hEz~c)AM@3&4(K>$Eu|slpO*r>@+BIy%2KrhVlFtH zZul3s1VauCNVOkz<=J(mky+k-VIPE?_5+r$VYYj4yiEpqkNE%PyY!yEjJ)7H(q?zG z&(9)R->7X&-Dy0>E%F>cz{s5H*tvbTb9SE{36c|gaRZMW&SzR{BA(}eP}7k1aA~6X z?NTgdG{B*oH~y_M{U4*+VjA@*Y`S~-LGv*y(Squ@8 zwk)+zCEIYi<((bFwIZvn$4Hm*+(Y#=Tc}rY2rn*{?3uOYCalculate speeds of traffic network — netspeed • vein + + + + + + + + + - + + - - + + + @@ -30,16 +41,16 @@ - + - + @@ -50,6 +61,7 @@ + @@ -66,7 +78,7 @@ vein - 0.7.13 + 0.8.0 @@ -74,7 +86,7 @@

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  • -
    - - - +
    +
    +
    +

    title: “VEIN model” author: “Sergio Ibarra-Espinosa” date: “19 de Octubre de 2016” output: html_document —

    +

    Travis-CI Build Status AppVeyor Build Status DOI Coverage Status CRAN_Status_Badge CRAN Downloads Package Status Github Stars

    @@ -187,14 +194,14 @@

    Installation

    VEIN can be installed via CRAN or github

    - +
    library(remotes) 
    +install_github("atmoschem/vein")
    +library(vein)
    +demo(VEIN)

    or

    -
    install.packages("vein")
    -library(vein)
    -demo(VEIN)
    +
    install.packages("vein")
    +library(vein)
    +demo(VEIN)
    @@ -225,10 +232,9 @@

  • Check the NEWS
  • -

    future steps:

    +

    Future steps:

    • Enhance inventory. The idea is to configurate a whole emissions inventory for emission factors of CETESB, COPERT.
    • -
    • Improve plots.
    • Adds ef_china, to include chinese emission factors.
    • Adds or connect traffic from gtfs services.
    • Add HBEFA EF.
    • @@ -241,7 +247,7 @@

      How does it work?

      VEIN consist of: "Elaboration of vehicular emissions inventories, consisting in four stages:

      -
        +
        1. pre-processing activity data,
        2. preparing emissions factors,
        3. estimating the emissions and
        4. @@ -249,9 +255,9 @@

        This implies the use of several functions in a coordinates ans structured way, therefore it is added the new function inventory which creates a structured set of directories and scripts to run VEIN. Please, open the file ‘main.R’ and run each line to understand VEIN. Remember, if you have doubts with any function, just type ‘?’ with the name of the function. For intance: ?inventory.

        Using inventory

        -
        library(vein)
        -inventory(name = file.path(tempdir(), "YourCity"), 
        -          vehcomp = c(PC = 1, LCV = 1, HGV = 1, BUS = 1, MC = 1),
        +
        library(vein)
        +inventory(name = file.path(tempdir(), "YourCity"), 
        +          vehcomp = c(PC = 1, LCV = 1, HGV = 1, BUS = 1, MC = 1),
                   show.dir = T, 
                   show.scripts = T)
        files at /tmp/RtmpEorTs8/YourCity
        @@ -286,38 +292,40 @@ 

        1) Examples with traffic data:

        -
          +
          1. If you know the distribution of the vehicles by age of use , use: my_age
          2. -
          3. If you know the sales of vehicles or better the registry of new vehicles, use age to apply a survival function.
          4. +
          5. If you know the sales of vehicles, or the registry of new vehicles, use age to apply a survival function.
          6. If you know the theoretical shape of the circulating fleet and you can use age_ldv, age_hdv or age_moto. For instance, you dont know the sales or registry of vehicles, but somehow you know the shape of this curve.
          7. You can use/merge/transform/adapt any of these functions.
          -
          data("net")
          +
          data("net")
           PC_E25_1400 <- age_ldv(x = net$ldv, name = "PC_E25_1400")
          -plot(PC_E25_1400, xlab = "age of use")
          +plot(PC_E25_1400, xlab = "age of use")

          If you want to know the vehicles per street and by age of use, just add the net. Age functions now returns ‘sf’ objects if the net argument is present.

          PC_E25_1400net <- age_ldv(x = net$ldv, name = "PC_E25_1400", net = net)
          -plot(PC_E25_1400net)
          -

          +sp::spplot(as(PC_E25_1400net, "Spatial"), + c("PC_E25_1400_1", "PC_E25_1400_9"), + main = "PC by age of use", scales = list(Draw = T), + col.regions = rev(cptcity::cpt()))

        -

        temporal factors and netspeed

        -
        data("net")
        -data("pc_profile")
        +
        data("net")
        +data("pc_profile")
         pc_week <- temp_fact(net$ldv+net$hdv, pc_profile)
         dfspeed <- netspeed(pc_week, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1.5)
        -plot(dfspeed)
        -

        +plot(dfspeed)
        +

        ```

        If you want ot check the speed at different hours by street, just add net:

        dfspeednet <- netspeed(pc_week, net$ps, net$ffs, net$capacity, net$lkm,
                                alpha = 1.5, net = net)
        -sp::spplot(as(dfspeednet, "Spatial"),
        -       c("S1", "S9"), scales = list(Draw = T),
        -       col.regions = rev(cptcity::cpt()))
        +sp::spplot(as(dfspeednet, "Spatial"), + c("S1", "S9"), scales = list(Draw = T), + col.regions = rev(cptcity::cpt()))

    @@ -334,7 +342,7 @@

    ef1 <- ef_ldv_speed(v = "PC",t = "4S", cc = "<=1400", f = "G", eu = "PRE", p = "CO") efs <- EmissionFactors(ef1(1:150)) -plot(Speed(1:150), efs, xlab = "speed[km/h]", type = "b", pch = 16)

    +plot(Speed(1:150), efs, xlab = "speed[km/h]", type = "b", pch = 16)

    @@ -343,14 +351,14 @@

    -
    euro <- c(rep("V", 5), rep("IV", 5), rep("III", 5), rep("II", 5),
    -          rep("I", 5), rep("PRE", 15))
    -lef <- lapply(1:40, function(i) {
    +
    euro <- c(rep("V", 5), rep("IV", 5), rep("III", 5), rep("II", 5),
    +          rep("I", 5), rep("PRE", 15))
    +lef <- lapply(1:40, function(i) {
     ef_ldv_speed(v = "PC", t = "4S", cc = "<=1400", f = "G",
               eu = euro[i], p = "CO", show.equation = FALSE) })
     E_CO <- emis(veh = PC_E25_1400, lkm = net$lkm, ef = lef, speed = dfspeed,
                  profile = pc_profile)
    -#plot(E_CO, xlab = "Hours", ylab = "[g/h]")
    +plot(E_CO, xlab = "Hours", ylab = "[g/h]")

    @@ -372,15 +380,12 @@

    You can use this function in two ways

    when spobj is “character”, it is a path to wrfinput file and then runs eixport::wrf_grid to create a grid based on a wrf_input file.

    -
      -
    1. Create a grid using make_grid.The spobj is the spatial net. The size of the grid has the size of the net. You have to specify the grid spacing.
    2. -
    3. Create a grid using a path to wrfinput file instead a net. The grid will have the size of the wrf_input. You don’t have to specify the grid spacing.
    4. -
    -
    data(net)
    +

    1) Create a grid using make_grid.The spobj is the spatial net. The size of the grid has the size of the net. You have to specify the grid spacing. 2) Create a grid using a path to wrfinput file instead a net. The grid will have the size of the wrf_input. You don’t have to specify the grid spacing.

    +
    data(net)
     E_CO_STREETSnet <- emis_post(arra = E_CO, pollutant = "CO", by = "streets_wide",
                                  net = net)
     g <- make_grid(net, 1/102.47/2) #500m in degrees
    -plot(g)
    +plot(g)
     E_CO_g <- emis_grid(spobj = E_CO_STREETSnet, g = g, sr= 31983)
     #sp::spplot(as(E_CO_g, "Spatial"),
     #       c("V1", "V9"), scales = list(Draw = T),
    @@ -392,23 +397,23 @@ 

    Creating a WRFChem Input file using eixport:

    -
      +
      1. Create a grid using make_grid and a wrfinput file
      2. Run emis_grid to grid your emissions.
      3. Create a GriddedEmissionsArray.
      4. Create a wrfchem input file [eixport::wrf_create](https://atmoschem.github.io/eixport/reference/wrf_create.html.
      5. Put the GriddedEmissionsArray into the wrf chem input file using eixport::wrf_put.
      -
      eixport::wrf_create(wrfinput_dir = "PathToWrfInput", wrfchemi_dir = "OutputPathWrfChemInput")
      +
      eixport::wrf_create(wrfinput_dir = "PathToWrfInput", wrfchemi_dir = "OutputPathWrfChemInput")
       gwrf <- eixport::wrf_grd("PathToWrfInput")
       E_CO_gwrf <- emis_grid(spobj = E_CO_STREETSnet, g = gwrf)
       gr <- GriddedEmissionsArray(E_CO_gwrf, rows = 19, cols = 23, times = 168, T)
      -eixport::wrf_put(file = "Path/To/WRFChemInputFile, name = "E_CO", POL = gr)
      +eixport::wrf_put(file = "Path/To/WRFChemInputFile, name = "E_CO", POL = gr)

    Creating a WRFChem Input file using AS4WRF

    -
      +
      1. Create a grid using make_grid and your net.
      2. Run emis_grid to grid your emissions.
      3. Run emis_wrf to create a data.frame the specifications for AS4WRF.ncl.
      4. @@ -441,6 +446,8 @@

        • Drop me an email
        • +
        • 嗨! 你可以写信给我! +
        • You can ask on Eart Science Stackoverflow,.
        • Check the project on ResearchGate.
        • Check the group on GoogleGroups Group.
        • @@ -462,16 +469,17 @@

          Sometimes you need to install R and all dependencies and a way for doing that is using anaconda. Well, as my system is in portuguese, after installing R using anaconda it changed the decimal character to ‘,’. In order to change it back to english meaning decimal separator as ‘.’, I added this variable into the .bashrc

          nano ~/.bashrc
           export Lang=C
          +

          More details on StackOverflow

    More

    -

    More details on StackOverflow

    You can learn more about VEIN reading the documentation in PDF, online, reading the book online, or buy it in Kindle or Paperback

    +

    +

    Citation

      @@ -501,27 +516,12 @@

      Citation

      Developers

        -
      • Sergio Ibarra-Espinosa
        Author, maintainer ORCID
      • +
      • Sergio Ibarra-Espinosa
        Author, maintainer ORCID
      • All authors...
      -
      -

      Dev status

      -
        -
      • Travis-CI Build Status
      • -
      • AppVeyor Build Status
      • -
      • -
      • DOI
      • -
      • Coverage Status
      • -
      • CRAN_Status_Badge
      • -
      • CRAN Downloads
      • -
      • Package Status
      • -
      • Github Stars
      • -
      -
      -
    - +