plotMap: Drawing a Thematic Map with a Quantitative Feature

In HCV: Hierarchical Clustering from Vertex-Links

Drawing a Thematic Map with a Quantitative Feature

Description

Plot the polygons in a SpatialPolygonsDataFrame object, and turn the values of a quantitative feature into colors over individual polygons.

Usage

plotMap(
  map,
  feat,
  color = topo.colors(10),
  main = "",
  bar_title = "rank",
  zlim = NULL
)

Arguments

map	SpatialPolygonsDataFrame object consisting of data and polygons.
feat	numberic vector having the same elements as the number of polygons in the input map.
color	vector of distinct colors for converting values of feat.
main	character specifying the main title.
bar_title	character specifying the text over the color bar.
zlim	length-2 numeric vector specifying the range of values to be converted.

Value

A colored map.

See Also

SpatialPolygonsDataFrame

Examples

require(sp)
grd  <-  GridTopology(c(1,1),  c(1,1),  c(5,5))
polys  <-  as(grd,  "SpatialPolygons") 
centroids  <-  coordinates(polys)
gdomain  <-  SpatialPolygonsDataFrame(polys,  data=data.frame(x=centroids[,1],  
  y=centroids[,2], row.names=row.names(polys)))
feat <- gdomain$x*5+gdomain$y^2
plotMap(gdomain,feat)

HCV documentation built on March 18, 2022, 6:01 p.m.