histomap | R Documentation |
The function histomap()
draws a histogram of a given variable name.var
and a map with sites of coordinates coordinates(sf.obj)
. Each site is associated to a value
of name.var
and there is interactivity between the two windows.
histomap(sf.obj, name.var, nbcol = 10, type = c("count", "percent", "density"),
criteria = NULL, carte = NULL, identify = NULL,
cex.lab = 0.8, pch = 16, col = "lightblue3", xlab = "", ylab = "", axes = FALSE,
lablong = "", lablat = "")
sf.obj |
object of class sf |
name.var |
a character; attribute name or column number in attribute table |
nbcol |
number of cells for histogram (10 by default) |
type |
Character string indicating type of histogram to be drawn. "percent" and "count" give relative frequency and frequency histograms, "density" produces a density scale histogram. |
criteria |
a vector of size n of boolean 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 NULL, the name of the variable for identifying observations on the map |
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 |
Sites selected by a bar on the histogram are represented on the map in red and the values of sites selected on the map by ‘points’ or ‘polygon’ are represented in red as a sub-histogram on the histogram.
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.
histomap
, histobarmap
, scattermap
, densitymap
######
# data columbus
require("sf")
columbus <- sf::st_read(system.file("shapes/columbus.shp", package="spData")[1])
# columbus is included in the Spatial-Class object
# a very simple use of histomap :
histomap(columbus, "CRIME")
## Not run:
# data on price indices of real estate in France
data(immob, package = "GeoXp")
# immob is a data.frame object. We have to create
# a Spatial object, by using first the longitude and latitude
require(sf)
immob.sf <- st_as_sf(immob, coords = c("longitude", "latitude"))
# optional : we add some contours that don't correspond to the spatial unit
# but are nice for mapping
midiP <- st_read(system.file("shapes/region.shp", package="GeoXp")[1])
# A basic call of histomap function
histomap(immob.sf, "prix.vente", carte = midiP,
identify = "Nom", cex.lab=0.6)
# ... with all options
histomap(immob.sf, "prix.vente", nbcol = 15, type = "percent",
criteria = immob$rentabilite > 5, carte = midiP, identify = "Nom",
cex.lab = 0.5, pch = 12,
col = "pink", xlab = "variation price", ylab = "percent",
axes = TRUE, lablong = "x", lablat = "y")
## End(Not run)
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