Hi R helpers, Is there a function (package?) in R available which tests "spatial autocorrelation" between points (e.g. vector layer of weather stations)? (e.g. Moran's I...) Via the archives we found out that there is a package 'spdep' which uses grid data for testing spatial autocorrelation. Thanks a lot, Jan _______________________________________________________________________ Jan Verbesselt Research Associate Lab of Geomatics and Forest Engineering K.U. Leuven Vital Decosterstraat 102. B-3000 Leuven Belgium Tel:+32-16-329750 Fax: +32-16-329760 http://gloveg.kuleuven.ac.be/
Spatial Autocorrelation for point data
2 messages · Jan Verbesselt, Roger Bivand
On Mon, 26 Apr 2004, Jan Verbesselt wrote:
Hi R helpers, Is there a function (package?) in R available which tests "spatial autocorrelation" between points (e.g. vector layer of weather stations)? (e.g. Moran's I...) Via the archives we found out that there is a package 'spdep' which uses grid data for testing spatial autocorrelation.
I think you will find that spdep contains the tools you need to build neighbour lists from points (for example by triangulation, tri2nb()), in order to calculate Moran's I. Look at the help pages for knearneigh(), tri2nb(), dnearneigh(), and/or graph2nb() to get an idea of the possibilities. Other functions can be used to modify triangulation neighbours, bu note that if you generate points with no neighbours for your definition of neighbours, you will need to specify this in arguments to analysis functions. Roger Bivand
Thanks a lot, Jan
_______________________________________________________________________ Jan Verbesselt Research Associate Lab of Geomatics and Forest Engineering K.U. Leuven Vital Decosterstraat 102. B-3000 Leuven Belgium Tel:+32-16-329750 Fax: +32-16-329760 http://gloveg.kuleuven.ac.be/ ______________________________________________ R-help at stat.math.ethz.ch mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Roger Bivand Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Breiviksveien 40, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 93 93 e-mail: Roger.Bivand at nhh.no