The document details a presentation by Michele Tobias on climate raster data extraction using R, occurring at the CALGIS event in Monterey, CA. It discusses the objective of sampling 1,416 climate rasters from three datasets, utilizing resources like the Prism dataset from Oregon State University. Various processing options are mentioned, including QGIS, ArcGIS, and GRASS for analyzing climate data, with results and contact information provided for further inquiries.

1. @MicheleTobias @GeospatialUCD
Using R for Climate
Raster Data Extraction
Michele Tobias, PhD
CalGIS – Apr. 14-16, 2014 – Monterey, CA

2. @MicheleTobias @GeospatialUCD
Objective
Sample 1,416 climate rasters (x 3 datasets) with a
point shapefile
… as quickly as possible.

3. @MicheleTobias @GeospatialUCD
Raster Files
PRISM Dataset – Oregon State University
Monthly climate rasters
(also available: daily)
1895 – present
Datasets: Precipitation
Temperature (Min, Max, & Mean)
http://prism.oregonstate.edu/

4. @MicheleTobias @GeospatialUCD
RasterFiles
January 1953, Precipitation

5. @MicheleTobias @GeospatialUCD
PointLocations

6. @MicheleTobias @GeospatialUCD
Processing Options
QGIS – Point Sampling Tool
ArcGIS – Extract by Points Tool
GRASS – v.what.rast
R – Extract Command
Probably lots of other ways...

7. @MicheleTobias @GeospatialUCD

8. @MicheleTobias @GeospatialUCD

9. @MicheleTobias @GeospatialUCD
Results

10. @MicheleTobias @GeospatialUCD
Questions?
Michele Tobias
mmtobias@ucdavis.edu
geospatial.ucdavis.edu