Spatial Data Science
Spatial data manipulation
Spatial data analysis
Remote Sensing Image Analysis
Introduction
Exploration
Basic mathematical operations
Unsupervised Classification
Supervised Classification
Case studies
Spherical computation
The raster package
Species distribution modeling
R companion to Geographic Information Analysis
Spatial Data Science
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Remote Sensing Image Analysis
Remote Sensing Image Analysis
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Aniruddha Ghosh and Robert J. Hijmans
Introduction
Terminology
Data
Resources
R packages
Exploration
Image properties
Image information and statistics
Single band and composite maps
Subset and rename bands
Spatial subset or crop
Saving results to disk
Relation between bands
Extract pixel values
Spectral profiles
Basic mathematical operations
Vegetation indices
Histogram
Thresholding
Principal component analysis
Unsupervised Classification
kmeans classification
Supervised Classification
Reference data
Generate sample sites
Extract values for sites
Train the classifier
Classify
Model evaluation