The Analogues R-Package Julian Ramirez-Villegas
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.
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)
What do you need?Set up: just download and install http://code.google.com/p/ccafs-analogues/
Point analyses: using R afterwards If you know how to use R, you could do your further data analyses with it Dissimilarity from a site in Ghana (future) to 35 other sites at present (bars are the distribution of 24 GCMs)