(This article was first published on

**Noam Ross - R**, and kindly contributed to R-bloggers)

Last week at the Davis R Users’ Group Robert Hijmans gave a talk about spatial data analysis in R. Robert is a professor of biogeography at UC Davis and the author of the `raster`

(analysis of gridded data), `dismo`

(species distribution modeling), and `geosphere`

(spherical trigonometry), packages.

Robert’s presentation spanned topics including basic geographical data and geostatistics concepts, his `raster`

package and its usage, and some great examples of visualization and other resources. Here are his slides:

Robert has also written an introduction to spatial modeling for R beginners which reviews very basic data handling and the `sp`

and `raster`

packages. Finally, his package vignettes are great resources for specific topics:

- Introduction to the raster package
- Writing functions for large raster files
- Species Distribution modeling with R
- Boosted Regression Trees for ecological modeling

To

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