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Tutorial using the free software Performing a spatial Principal Component Analysis using the R software T. JOMBART November 2006 For any questions or comments, please send an email to: . Contents 1 Introduction 2 2 Building a connection network 4 3 Performing the analyses 5 3.1 Testing for the existence of spatial structures . . . . . . . . . . . . . 6 3.2 Identifying and displaying the spatial structures . . . . . . . . . . . 8 3.2.1 The Principal Component Analysis . . . . . . . . . . . . . . 8 3.2.2 The spatial Principal Component Analysis . . . . . . . . . . 10 1

  • cats

  • conversion functions

  • build connection

  • include spatial

  • spdep knn

  • function library

  • tutorial using

  • nb2neig

  • gabriel graph


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Data
library(spdep)
R is a statistical language which can be freely downloaded f //www.r-project.org/package). The spdepwritten by voted to the creation and to the manipulation of spatial You have to install it and to load it into your R session:
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We illustrate the method using two data sets. The data consists in a zip archive containing two ArcView shapefiles (ESRI file format). Files are extracted and data are loaded into R with theread.shapefunction of themaptoolslibrary.
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"spatialrlqdata.zip")
zip.file.extract("environment.dbf",
Introduction
Contents
February 10, 2006
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1
Performing spatial-RLQ analysis with
Introduction
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St´ephaneDray
Spatial-RLQ analysis
Data
rom internet (http: Roger Bivand is de-weighting matrices.
You need also theade4package (multivariate analyses) and themaptoolspack-age (if data are stored in the shapefile format (ArcView GIS): library(ade4) library(maptools)
This document indicates how to perform spatial-RLQ analysis (Dray et al., 2002) in R. Commands are written in red and outputs are written in blue.
Lastly, download and source the filespatialrlq.Ravailable in the software section of my website. source("spatialrlq.R")
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