The Analogues R-Package - Ramirez-Villegas
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Presentation by Julian Ramirez-Villegas. CCAFS workshop titled "Using Climate Scenarios and Analogues for Designing Adaptation Strategies in Agriculture," 19-23 September in Kathmandu, Nepal.
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2. There are several ways to calculate summary statistics in ArcGIS including selection statistics, attribute table statistics, and summarization.
3. Measurements that can be made on geographic features include number, area, length, shape, fragmentation, and distance calculations.
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- 1. The Analogues R-Package Julian Ramirez-Villegas
- 2. The tool Entirely coded as an package Optimised for large datasets with GRASS-GIS (experimental) Example data at 0.5-degree (~100km), globally, for 24 GCMs, and the SRES-A1B emission scenario, but any other data can be integrated Implemented using the raster, rgdal, sp, and maptoolspackages, so that it is easy to handle GIS formats, and export outputs Dissimilarity is calculated via two measures (CCAFS and Hallegatte), and uncertainty is provided as the SD and CV among individual GCMs, but, R is flexible Calculations can be done and outputs generated for any geographic region at any resolution.
- 3. What do you need?Set up: just download and install R >= 2.13.0 (http://www.r-project.org), and packages: raster, sp, rgdal, maps, spgrass6, stringr, maptools, foreign, lattice, akima, plotrix, rimage, XML GRASS GIS >= 6.4 (http://grass.fbk.eu/) (exp) Quantum GIS >= 1.6 (http://www.qgis.org/) (opt)
- 4. What do you need?Set up: just download and install http://code.google.com/p/ccafs-analogues/
- 7. At least one variable, for a given area, with any time-step (from whole year to daily)
- 8. Is uniform in spatial coverage (i.e. extent) and resolution
- 9. Represents one or more given (climate) scenario(s)
- 10. Is stored in the same folder
- 11. Is named in a way the tool can understand
- 13. We provide some data For instance: BCCR-BCM2.0, precipitation
- 14. Gridded-analyses: creating a basic report After an analysis, you could print a simple report showing results
- 15. Point-based analyses Inputs/Outputs Similar to gridded, but not equal!
- 17. Ensure quality and zero NODATA by yourself beforehand
- 18. One matrix per variable, with columns being time-steps and rows sites
- 19. Objects named in R as [VARIABLE].[SCENARIO]
- 22. Further operations can be done in R, upon your needs and knowledge
- 23. The R-workspace can be saved and then loaded at any time in the future