Performing spatial RLQ analysis with

Stephane Dray

Description

Performing spatial-RLQ analysis with Stephane Dray February 10, 2006 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. Contents 1 Introduction 1 2 Data 2 3 Spatial-RLQ analysis 6 1 Introduction R is a statistical language which can be freely downloaded from internet (http: // The package spdep written by Roger Bivand is de- voted to the creation and to the manipulation of spatial weighting matrices. You have to install it and to load it into your R session: library(spdep) You need also the ade4 package (multivariate analyses) and the maptools pack- age (if data are stored in the shapefile format (ArcView GIS): library(ade4) library(maptools) Lastly, download and source the file spatialrlq.R available in the software section of my website. source(spatialrlq.R) 2 Data 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 the read.shape function of the maptools library. zip.file.

• rlq analysis


• polylist


• maj min


• rhone-alpes region


• maj moy


• environmental variable


• maj maj


• performing spatial

Sujets

• Environment variable

Informations

• Publié par: profil-urra-2012
• Nombre de lectures: 110
• Langue: English

Extrait

Performing

spatial-RLQ analysis

St´ephaneDray

February 10, 2006

with

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.

Contents

1 Introduction

2 Data

3 Spatial-RLQ analysis

1 Introduction

1

2

6

R is a statistical language which can be freely downloaded from internet (http: //www.r-project.org/). The packagespdepwritten by Roger Bivand is de- voted to the creation and to the manipulation of spatial weighting matrices. You have to install it and to load it into your R session:

library(spdep)

You need also theade4package (multivariate analyses) and themaptoolspack- age (if data are stored in the shapefile format (ArcView GIS): library(ade4) library(maptools)

Lastly, download and source the filespatialrlq.Ravailable in the software section of my website.

source("spatialrlq.R")

2

Data

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.

zip.file.extract("environment.dbf", "spatialrlqdata.zip")

1