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_site.yml
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name: big_data_biogeography
output_dir: docs
navbar:
title: Big Data Biogeography
type: inverse
left:
- text: Home
icon: fa-home
href: Readme.html
- text: Course schedule
href: 01_schedule.html
- text: Student project
href: 02_student_project.html
- text: Day 1
menu:
- text: Overview
href: mo_overview.html
- text: Setup
href: mo_setup.html
- text: Download from GBIF
href: mo_download_gbif.html
- text: Download from Paleobiology database
href: mo_download_paleobioDB.html
- text: Download from IUCN database
href: mo_download_iucn.html
- text: Day 2
menu:
- text: Overview
href: tue_overview.html
- text: 1. Cleaning geographic records from public databases
href: tue_clean_geographic_data.html
- text: 2. Cleaning fossil data (optional)
href: tue_clean_fossils.html
- text: 3. Quantifying sampling bias
href: tue_sampling_bias.html
- text: 4. Probabilistic cleaning with bRacatus
href: tue_probabilistic_cleaning.html
- text: 5. Species richness and range size
href: tue_species_ranges_and_richness.html
- text: Further reading
href: tue_further_reading
- text: Day 3
menu:
- text: Overview
href: wed_overview.html
- text: 1. Taxon-specific bioregionalization
href: wed_taxonspecific_bioregionalization.html
- text: 2. Reconstructing ancestral areas (DEC)
href: wed_ancestral_areas_DEC.html
- text: 3. Estimating the number of shifts (DEC BSM)
href: wed_DEC_bsm.html
- text: 4. Diversification rate estimation (GeoSSE)
href: wed_diversification_rates_geosse.html
- text: Further reading
href: wed_further_reading
- text: Day 4
menu:
- text: Overview
href: thu_overview.html
- text: 1. Automated conservation assessments IUCN Criterion B
href: thu_aa_criterion_B.html
- text: 2. Automated assessments using Neural Networks
href: thu_aa_neural_network.html
- text: Further reading
href: thu_further_reading
- text: Day 5
menu:
- text: Overview
href: fr_overview.html
- text: Student presentations
href: fr_presentations.html
right:
- text: GitHub
href: https://github.com/azizka/big_data_biogeography
output:
html_document:
lib_dir: site_libs
self_contained: no