Spatial Data Science with R =========================== This website provides materials to learn about spatial data analysis and modeling with *R*. *R* is a widely used programming language and software environment for data science. *R* has advanced capabilities for managing spatial data; and it provides unparalleled opportunities for analyzing such data. If you have never used *R*, or if you need a refresher, you should start with our `Introduction to R <../intr/index.html>`__ .. topic:: 1. `Spatial data analysis `__ | An introduction to methods for description, prediction and inference with spatial data. (`pdf `__) | .. topic:: 2. `Remote sensing image analysis `__ | Introduction to remote sensing (satellite) image analysis spatial data. (`pdf `__) | .. topic:: 3. `Species Distribution Modeling `__ with R | An in-depth tutorial for predicting the geographic ranges of species. (`pdf `__) | .. topic:: 4. `Case studies `__ | A (small) collection of case studies that can help you learn more about particular topics and design your own workflows. (`pdf `__) | Manuals ------- .. topic:: I. `The raster package `__ | An introduction to the raster package. (`pdf `__) | .. topic:: II. `Spherical computation `__ | Computing distances and other measures on a sphere or spheroid. (`pdf `__) | .. topic:: III. `Geographic Information Analysis `__ | R companion to Geographic Information Analysis by O'Sullivan and Unwin. (`pdf `__) | *This is the "raster/sp" version of this resource. You can also use the* `"terra/sf" `_ *version.* **(under development)** .. toctree:: :maxdepth: 3 :hidden: spatial/index.rst analysis/index.rst rs/index.rst cases/index.rst sphere/index.rst pkg/index.rst sdm/index.rst rosu/index.rst