Dear Greg,
A while back I did a similar task with the function interp.surface() from the
fileds package. It briefly does bilinear interpolation from a regular grid to
arbitrary point. It is computationally quite inexpensive since the method of
interpolation is quite simple.
Hope I understood
What about interpp in akima package that does pointwise bivariate interpolation
for irregular data? Was that what you wanted?
All best
Miha
--- Tim Keitt <[EMAIL PROTECTED]> wrote:
> Anyone know of code that will do bilinear interpolation from irregular
> samples to another set of irregular loc
town. Let us suppose those spatial units are about 100.
The required approaches what is implented in the splancs function pip. Just for
all the polygons in the same operation.
Thanks for your suggestions,
Miha Staut
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ata.frame and
plot it with plot as explained in help pages of plot.Map.
library(maptools)
w.data <- read.shape("countries.shp")
# edit data in w.data$att.data
plot(w.data, auxvar=w.data$att.data$your.variable)
# play with aditional arguments of plot.Map as "recs" to plot only
Dear listers,
Does anybody know if any command is implemented in R for creating cartograms
where the area of the polygon reflects the size of the variable in question.
E.g. in a map of the countries of the world (projection should be equivalent of
course), the area of the country would indicate th
