E-raamat: 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.