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  • 1.1. PCRaster maps, data types and display →

1. Map AlgebraΒΆ

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  • 1.1. PCRaster maps, data types and display
    • 1.1.1. Introduction
    • 1.1.2. Reading maps from disk and visualisation
    • 1.1.3. Data types
  • 1.2. Point operations
    • 1.2.1. Introduction
    • 1.2.2. Quantitative computation with scalar maps
    • 1.2.3. Boolean algebra operations
    • 1.2.4. Comparison operators resulting in boolean maps
    • 1.2.5. Conditional operators with a boolean map
  • 1.3. Area operations for descriptive statistics
    • 1.3.1. Introduction
    • 1.3.2. Calculation of statistics of an area
    • 1.3.3. Finding contiguous areas; a study problem
  • 1.4. Neighbourhood operations: windows, frictions paths, visibility analysis
    • 1.4.1. Introduction
    • 1.4.2. Direct neighbourhood operations: window operations
    • 1.4.3. Entire neighbourhood operations: absolute distance calculation
    • 1.4.4. Entire neighbourhood operations: relative distance calculation
  • 1.5. Neighbourhood operations: DEM and catchment analysis
    • 1.5.1. Introduction
    • 1.5.2. Creating slope and aspect maps
    • 1.5.3. Creating the local drain direction map
    • 1.5.4. Catchment analysis and routing with the ldd map.
 
  • ← Land surface process modelling with PCRaster Python
  • 1.1. PCRaster maps, data types and display →

Table of Contents

  • 1. Map Algebra
  • 2. Dynamic Modelling
  • 3. Stochastic Modelling
  • 4. Data Pre-Processing with GDAL
  • 5. Programming with Python
  • 6. Calibration

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