grasp: Generalized Regression Analysis and Spatial Prediction for R

GRASP is a general method for making spatial predictions of response variables (RV) using point surveys of the RV and spatial coverages of Predictor variables (PV). Originally, GRASP was developed to analyse, model and predict vegetation distribution over New Zealand. It has been used in all sorts of applications since then. (A. Lehmann, J.R. Leathwick & J.McC. Overton, 2002. GRASP. Ecological Modelling, 157: 189-207)

Version: 2.5-7
Depends: R (≥ 2.7), gam, mda
Published: 2008-10-12
Author: Anthony Lehmann (anthony.lehmann@unige.ch), Fabien Fivaz (fabien.fivaz@unine.ch), John Leathwick and Jake Overton, with contributions from many specialists from around the world
Maintainer: Fabien Fivaz <fabien.fivaz at unine.ch>
License: GPL-2
URL: http://www.r-project.org, http://www.unige.ch/ia/climate/grasp
In views: Spatial
CRAN checks: grasp results

Downloads:

Package source: grasp_2.5-7.tar.gz
MacOS X binary: grasp_2.5-7.tgz
Windows binary: grasp_2.5-7.zip
Reference manual: grasp.pdf
Old sources: grasp archive