Updated README

README.md

@@ -1,4 +1,4 @@
-# motrap.micro <br><br> **Mo**squito **Tr**ansmitted **P**athogen <br> **Micro**-simulation with Behavioral States 
+# ramp.micro <br><br> **Mo**squito **Tr**ansmitted **P**athogen <br> **Micro**-simulation with Behavioral States 
 
 Mosquito movement plays an important role in malaria transmission dynamics and vector control. This software was developed to explore mosquito population dispersal, the spatial dynamics of mosquito populations, and malaria transmission dynamics on *point sets,* which we call *micro-simulation.*
 The idea of micro-simulation was described by the late Richard Carter (Carter, 2002)^[Carter R (2002) Spatial simulation of malaria transmission and its control by malaria transmission blocking vaccination. International Journal for Parasitology 32: 1617–1624. doi:10.1016/S0020-7519(02)00190-X].  
@@ -31,7 +31,7 @@ The emerging patterns are highly structured and complex.
 This is not to say that diffusion-based models are not *useful,* but that we might learn something new by describing and analyzing mosquito movement in models that are highly realistic. 
 *Spatial Dynamics of Malaria Transmission,* for example, introduces a meta-population model for mosquito spatial ecology, where the patch-based diffusion model is motivated by the ideas of *search* and heterogeneous resource availability (Wu SL, *et al.*, 2023)^[Wu SL, *et al.* (2023) Spatial dynamics of malaria transmission. PLoS Comput Biol 19(6): e1010684. https://doi.org/10.1371/journal.pcbi.1010684]; the approach was motivated by MBITES (Wu SL, *et al.*, 2020)^[Sean L Wu, *et al.* (2020). Vector bionomics and vectorial capacity as emergent properties of mosquito behaviors and ecology. PLoS Comput Biol 16:e1007446, doi:10.1371/journal.pcbi.1007446]
 
-It is challenging to set up, simulate, analyze, and visualize the outputs of micro-simulation models. This software, `motrap.micro`, was developed lower the human costs of model development with the hope of encouraging new research. 
+It is challenging to set up, simulate, analyze, and visualize the outputs of micro-simulation models. This software, `ramp.micro`, was developed lower the human costs of model development with the hope of encouraging new research. 
 We hope this software can be used to advance our understanding of mosquito spatial ecology and the spatial dynamics of malaria and other mosquito-transmitted diseases. There are several promising areas of research: understanding intervention *coverage* as a spatial concept; the *effect sizes* understood spatially, especially in relation to coverage when those interventions *repel* mosquitoes from an area; spatial *area effects* of vector control; mosquito spatial dynamics; *spatial targeting* for malaria control; sampling mosquito populations and the robustness of the metrics used to measure mosquito bionomic parameters; theory to support *larval source management;* the spread of genetically modified mosquitoes and effect sizes; and finally, the fundamental concept of a mosquito *niche.*
 
 The software has a modular design, and there are plans to integrate some of this functionality with [`exDE`](https://dd-harp.github.io/exDE/). Please contact us if you would like to  be involved with the project, or if you have any questions or suggestions.