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-validate
• Spatial distribution models
  • Data
    • Observations
    • Predictors
    • Background data
    • Combine presence and background
  • Fit a model
    • CART
    • Random Forest
  • Predict
    • Regression
    • Classification
  • Extrapolation
  • 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