Tutorials and exercises for the raster package

This repo presents a tutorial series with examples and exercises on spatial raster data for the R-exercises website. A total of 10 posts will be developed covering different aspects and topics related to raster data processing.

Contents

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P1 Spatial data analysis: introduction to raster processing (part-1)

1. Background

   • Vector data model
   • Raster data model
   • Vector vs. raster usage
   • Raster package functions

2. Raster attributes

   • Raster summary attributes
   • Number of cells, rows, columns and layers
   • Data type
   • Extent
   • Coordinate Reference System (CRS)

3. Raster values

   • Summary and cell statistics
   • Data visualization
   • Extracting raster values

P2 Spatial data analysis: introduction to raster processing (part-2)

1. Background

   • RasterStack objects as multi-layer raster data

2. Raster algebra

   • Creating a RasterStack object
   • Different methods in raster calculation/algebra
   • Memory usage

3. Cropping

   • Cropping a raster dataset
   • Extent objects

4. Reprojection and resampling

   • Changing the coordinate reference system (CRS) of a raster
   • Resampling rasters

P3 Exercises (parts-1-2)

P2 Spatial data analysis: introduction to raster processing (part-3)

1. Background

2. Raster masks

3. Raster aggregation