Description Usage Arguments Details Value Author(s) References See Also Examples
The function scattermap
draws a scatterplot of the given variables indicated
in names.var
and a map with sites
of coordinates coordinates(sp.obj)
. Boxplots of each variable
names.var[1]
and names.var[2]
are represented below the x-axis and y-axis.
1 2 3 |
sp.obj |
object of class extending Spatial-class |
names.var |
a vector of two characters : 1st name corresponds to the x-variable, 2nd name corresponds to the y-variable |
lin.reg |
If TRUE, drawing of the linear predictor for ‘response’ in linear model |
quantiles |
a boolean to represent the Additive Quantile Regression Smoothing |
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 |
Each site is associated to a value of names.var[1]
and a value of
names.var[2]
. There is an interactivity between the two windows: the sites selected
by ‘point’ or ‘polygon’ on the scatterplot are represented on the map in red; sites selected
on the map are then represented in red on the scatterplot. Users have
the possibility to draw linear predictor for ‘response’ in linear model (option lin.reg
)
or conditionnal quantile regression spline (option quantiles
).
In the case where user click on save results
button,
a vector of integer is created as a global variable in last.select
object.
It corresponds to the number of spatial units selected just before leaving the Tk window.
Thomas-Agnan C., Aragon Y., Ruiz-Gazen A., Laurent T., Robidou L.
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.
dblehistomap
, histobarmap
, scattermap
, densitymap
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | ######
# data on price indices of real estate in France
data(immob)
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$latitude))
# ... and then by integrating other variables to create SpatialPointsDataFrame
immob.spdf = SpatialPointsDataFrame(immob.sp, immob)
# For more details, see vignette('sp', package="sp")
# optional : we add some contours that don't correspond to the spatial unit
# but are nice for mapping
require("maptools")
midiP <- readShapePoly(system.file("shapes/region.shp", package="GeoXp")[1])
cont_midiP<-spdf2list(midiP[-c(22,23),])$poly
# a example of use
scattermap(immob.spdf,c("prix.vente","prix.location"),
carte= cont_midiP, xlab="Average sell price",ylab="Average rent price",
identify=TRUE, cex.lab=0.6)
######
# data eire
eire <- readShapePoly(system.file("etc/shapes/eire.shp", package="spdep")[1],
ID="names", proj4string=CRS("+proj=utm +zone=30 +units=km"))
# example of use of scattermap
scattermap(eire, c("ROADACC","OWNCONS"),lin.reg=TRUE,
xlab="Roads",ylab="Consomation Rate",col="purple")
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