Spatial Data Science
  • Introduction to R
  • Spatial data with terra
  • Spatial data analysis
  • Remote Sensing
  • Processing MODIS data
  • Case studies
  • Species distribution modeling
    • Introduction
    • Data preparation
    • Absence and background points
    • Environmental data
    • Model fitting, prediction, and evaluation
    • References
  • The terra package
  • R companion to Geographic Information Analysis
Spatial Data Science
  • Species distribution modeling

Species distribution modeling

Robert J. Hijmans and Jane Elith

[under development]

  • Introduction
  • Data preparation
    • Species occurrence data
    • Importing occurrence data
    • Data cleaning
    • Duplicate records
    • Cross-checking
    • Georeferencing
    • Sampling bias
    • 2.8 Exercises
  • Absence and background points
  • Environmental data
    • Raster data
    • Extracting values from rasters
  • Model fitting, prediction, and evaluation
    • Model fitting
    • Model prediction
    • Model evaluation
  • References
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