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ecostructure's Introduction

ecostructure

R package for Clustering and Visualization of structure in ecological data

This package is targeted at fitting STRUCTURE type model on ecological species abundance and presence-absence data both at local and large geographic scales - together with high quality visualizations of the fitted models.

Authors

Advised by

Citation

If you find ecostructure, please cite our papers

White, Alexander E. and Dey, Kushal K. and Mohan, Dhananjai and Stephens, Matthew and Price, Trevor D. Regional influences on community structure across the tropical-temperate divide. Nature Communications. 2019. 10 (1). 2646. 10.1038/s41467-019-10253-6.

White, Alexander E. and Dey, Kushal K. and and Stephens, Matthew and Price, Trevor D. Dispersal syndromes drive the formation of biogeographical regions, illustrated by the case of Wallace’s Line. Global Ecology and Biogeography. 2021. https://doi.org/10.1111/geb.13250

Installation

Install ecostructure following the instructions below.

install.packages(devtools)
install.packages("sf")
devtools::install_github("kkdey/methClust")
devtools::install_github("kkdey/maptpx"). # this is an updated version of CRAN package maptpx
devtools::install_github("kkdey/CountClust")
devtools::install_github("kkdey/ecostructure")

Then load ecostructure

library(ecostructure)

Demo

Some examples of produced using our ecostructure package

misc

If you want to try ecostructure and replicate figures like this, please check our tutorial here.

Questions?

For any queries or concerns related to the software, you can open an issue here. Or you can contact us. Kushal Dey - [email protected] or Alex White - [email protected].

We thank Prof. Trevor D. Price and Dhananjai Mohan for data collection for our accompanying paper. We thank our mentors Prof. Matthew Stephens and Prof. Trevor Price for helpful suggestions and discussions.

You are also most welcome to contribute to ecostructure !!

ecostructure's People

Contributors

aewhite100 avatar kkdey avatar

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ecostructure's Issues

Incorporate the data

Put the Himalayan bird abundance

  • count data for sites vs species
  • metadata for samples
  • metadata for birds

Put the regional motif data into some remote repository like "dryad"..

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