The R Journal: article published in 2020, volume 12:2

Species Distribution Modeling using Spatial Point Processes: a Case Study of Sloth Occurrence in Costa Rica
Paula Moraga , The R Journal (2020) 12:2, pages 293-310.

Abstract Species distribution models are widely used in ecology for conservation management of species and their environments. This paper demonstrates how to fit a log-Gaussian Cox process model to predict the intensity of sloth occurrence in Costa Rica, and assess the effect of climatic factors on spatial patterns using the R-INLA package. Species occurrence data are retrieved using spocc, and spatial climatic variables are obtained with raster. Spatial data and results are manipulated and visualized by means of several packages such as raster and tmap. This paper provides an accessible illustration of spatial point process modeling that can be used to analyze data that arise in a wide range of fields including ecology, epidemiology and the environment.

Received: 2019-12-20; online 2021-01-15, supplementary material, (1.8 KiB)
CRAN packages: spocc, raster, tmap, ggplot2, leaflet, mapview, sp, rnaturalearth, rgeos
CRAN Task Views implied by cited CRAN packages: Spatial, SpatioTemporal, Graphics, OfficialStatistics, Phylogenetics, TeachingStatistics
Bioconductor packages: graph, Rgraphviz

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-017,
  author = {Paula Moraga},
  title = {{Species Distribution Modeling using Spatial Point Processes:
          a Case Study of Sloth Occurrence in Costa Rica}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-017},
  url = {https://doi.org/10.32614/RJ-2021-017},
  pages = {293--310},
  volume = {12},
  number = {2}
}