R Coding for Ecology

Part I: Introduction.- 1. Introduction to the book.- . Part II: Species distribution modelling and Community ecology.- 2. The sdm R package for species distribution modelling .- 3. The ecospat R package: a collection of pre-, core- and post-modeling tools to investigate species niches and distributions .- 4. The ecodist package for dissimilarity-based analysis of ecological data .- 5. Sampling ecologically meaningful pseudo-absences with the USE R package .- 6. Rarefaction curves with Rarefy package .- . Part III: Ecological remote sensing.- 7. A plant trait-based approach to map forest biodiversity using imaging spectroscopy and physical modeling .- 8. Bridging remote sensing and movement ecology .- 9. The rasterdiv package for measuring diversity from space .- 10. The imageRy package for teaching remote sensing in a straightforward way .- . Part IV: Spatial ecology.- 11. The landscapemetrics and motif packages for measuring landscape patterns and processes.- 12. The CAST package for training and assessment of spatial prediction models .- 13. The cblindplot R package: Building new bridges to visually inclusive science for colourblind people.- 14. The cartogram package for mapping ecological patterns.