neighbourmap: Neighbour plot and map

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Description

The function neighbourmap() identifies spatial outliers by comparing a variable value for a particular site with these of its neighbouring sites. It draws a scatterplot of the values of the variable at neighbouring sites for a neighbourhood structure given by a binary weight matrix W and links this scatterplot with a map.

Usage

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neighbourmap(sp.obj, name.var, nb.obj, lin.reg=TRUE,
names.attr=names(sp.obj), criteria=NULL, carte=NULL, identify=FALSE, cex.lab=0.8,
pch=16, col="lightblue3", xlab="", ylab="", axes=FALSE, lablong="", lablat="")

Arguments

sp.obj

object of class extending Spatial-class

name.var

a character; attribute name or column number in attribute table

nb.obj

object of class nb

lin.reg

If TRUE, drawing the linear curve y=x

names.attr

names to use in panel (if different from the names of variable used in sp.obj)

criteria

a vector of boolean of size the number of spatial units, which permit to represent preselected sites with a cross, using the tcltk window

carte

matrix with 2 columns for drawing spatial polygonal contours : x and y coordinates of the vertices of the polygon

identify

if not FALSE, identify plotted objects (currently only working for points plots). Labels for identification are the row.names of the attribute table row.names(as.data.frame(sp.obj)).

cex.lab

character size of label

pch

16 by default, symbol for selected points

col

"lightblue3" by default, color of bars on the histogram

xlab

a title for the graphic x-axis

ylab

a title for the graphic y-axis

axes

a boolean with TRUE for drawing axes on the map

lablong

name of the x-axis that will be printed on the map

lablat

name of the y-axis that will be printed on the map

Details

For a selected site j on the map, are represented on the map its neighbors, and on the graph, on the x-axis the value of var for this site, and in y-axis, the values of var for the neighbouring sites of j. For a selected point on the graph, the corresponding pair of sites is represented on the map with a link.

Value

In the case where user click on save results button, a matrix of integer is created as a global variable in last.select object. It corresponds to the numbers of spatial unit corresponding to couple of sites selected just before leaving the Tk window.

Note

When user selects sites on the graph or on the map, he cannot add a selection by using the other graphic.

Author(s)

Aragon Y., Thomas-Agnan C., Ruiz-Gazen A., Laurent T., Robidou L.

References

Thibault Laurent, Anne Ruiz-Gazen, Christine Thomas-Agnan (2012), GeoXp: An R Package for Exploratory Spatial Data Analysis. Journal of Statistical Software, 47(2), 1-23.

Roger S.Bivand, Edzer J.Pebesma, Virgilio Gomez-Rubio (2009), Applied Spatial Data Analysis with R, Springer.

See Also

moranplotmap,makeneighborsw,normw,nonormmoran

Examples

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###
# columbus
require("maptools")
example(columbus)

# example of use of neighbourmap
neighbourmap(columbus, "CRIME", col.gal.nb,
criteria=(columbus@data$CRIME>mean(columbus@data$CRIME)))

###
# data immob
data(immob)

# change names of individuals
row.names(immob) <- immob$Nom

# immob is a data.frame object. We have to create
# a Spatial object, by using first the longitude and latitude
# to create Spatial Points object ...
immob.sp = SpatialPoints(cbind(immob$longitude,immob$latitude))
# ... and then by integrating other variables to create SpatialPointsDataFrame
immob.spdf = SpatialPointsDataFrame(immob.sp, immob)
# For more details, see vignette('sp', package="sp")

# optional : we add some contours that don't correspond to the spatial unit
# but are nice for mapping
midiP <- readShapePoly(system.file("shapes/region.shp", package="GeoXp")[1])
cont_midiP<-spdf2list(midiP[-c(22,23),])$poly

# A spatial weight matrix based on triangulation Delaunay
W.nb<-tri2nb(cbind(immob$longitude,immob$latitude))

# example of use of neighbourmap
neighbourmap(immob.spdf,"prix.vente", W.nb, identify=TRUE, cex.lab=0.5,
carte=cont_midiP)

GeoXp documentation built on May 29, 2017, 11:25 a.m.