Spatial Data Science
  • Introduction to R
  • Spatial data with terra
  • Spatial data analysis
    • Introduction
    • Scale and distance
    • Spatial autocorrelation
    • Interpolation
    • Spatial distribution models
    • Local regression
    • Spatial regression models
    • Point pattern analysis
  • Remote Sensing
  • Processing MODIS data
  • Case studies
  • Species distribution modeling
  • The terra package
  • R companion to Geographic Information Analysis
Spatial Data Science
  • Spatial data analysis

Spatial data analysis

  • Introduction
  • Scale and distance
    • Introduction
    • Scale and resolution
    • Zonation
    • Distance
      • Distance matrix
      • Distance for longitude/latitude coordinates
    • Spatial influence
      • Adjacency
      • Two nearest neighbours
      • Weights matrix
      • Spatial influence for polygons
    • Raster based distance metrics
      • distance
      • cost distance
      • resistance distance
  • Spatial autocorrelation
    • Introduction
      • Temporal autocorrelation
      • Spatial autocorrelation
    • Example data
    • Adjacent polygons
    • Compute Moran’s I
  • Interpolation
    • Introduction
    • Temperature in California
      • 9.2 NULL model
      • proximity polygons
      • Nearest neighbour interpolation
      • Inverse distance weighted
    • Calfornia Air Pollution data
      • Data preparation
      • Fit a variogram
      • Ordinary kriging
      • Compare with other methods
      • Cross-validation
  • Spatial distribution models
    • Data
      • Observations
      • Predictor variables
      • Background data
      • East vs West
    • Fit a model
      • CART
      • Random Forest
    • Predict
      • Regression
      • Classification
    • Extrapolation
    • Climate change
    • Further reading
  • Local regression
    • California precipitation
    • California House Price Data
    • Summarize
    • Regression
    • Geographicaly Weighted Regression
      • By county
      • By grid cell
    • spgwr package
  • Spatial regression models
    • Introduction
    • Reading & aggregating data
      • Get the data
    • Basic OLS model
    • Spatial lag model
    • Spatial error model
    • Questions
  • Point pattern analysis
    • Introduction
    • Basic statistics
    • Density
    • Distance based measures
    • Spatstat package
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