Spatial Data Science
Spatial data manipulation
Introduction
Spatial data
Vector data
Raster data
Reading and writing spatial data
Coordinate Reference Systems
Vector data manipulation
Raster data manipulation
Maps
Spatial data analysis
Remote Sensing Image Analysis
Case studies
Spherical computation
The raster package
Species distribution modeling
R companion to Geographic Information Analysis
Spatial Data Science
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Spatial data manipulation
Spatial data manipulation
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Introduction
Spatial data
Introduction
Vector data
Raster data
Simple representation of spatial data
Vector data
Introduction
SpatialPoints
SpatialLines and SpatialPolygons
Raster data
Introduction
RasterLayer
RasterStack and RasterBrick
Reading and writing spatial data
Introduction
Vector files
Reading
Writing
Raster files
Reading
Writing
Coordinate Reference Systems
Introduction
Coordinate Reference Systems
Angular coordinates
Projections
Notation
Assigning a CRS
Transforming vector data
Transforming raster data
Vector data manipulation
Basics
Geometry and attributes
Variables
Merge
Records
Append and aggregate
Append
Aggregate
Overlay
Erase
Intersect
Union
Cover
Difference
Spatial queries
Raster data manipulation
Introduction
Creating Raster* objects
Raster algebra
‘High-level’ functions
Modifying a Raster* object
Overlay
Calc
Reclassify
Focal functions
Distance
Spatial configuration
Predictions
Vector to raster conversion
Summarizing functions
Helper functions
Accessing cell values
Coercion to other classes
Maps
Vector data
Base plots
spplot
Raster
Specialized packages