Hi Lawrence, You could use the gstat (geostatistics) package to perform an interpolation, it also requires the package sp. It offers inverse distance interpolation and several forms of kriging. Making an interpolation would look something like:
library(gstat) # Also loads sp coordinates(geocode) = ~LAT + LONG # make a spatial object out of geocode grid = spsample(geocode, type = "regular", n = 1000) # make a map of target locations. # Regular grid. n is the number of cells, increase this for more detail in the resulting map gridded(grid) = TRUE # Identifying this object as a grid interpolated = krige(VALUE ~ 1, geocode, grid) # Do inverse distance interpolation, data is 'geocode', target locations are 'grid'. spplot(interpolated, "var1.pred", sp.layout = list("sp.points", geocode)) # Plot the predictions (grid) and the points (geocode) hope this helps, Paul Lawrence D. Brenninkmeyer schreef: > Hi- > > I am trying to find a way to diffuse GIS data on a European map. I have a > dataset consisting of particular locations scattered across Europe, > along with magnitude and value information. I can plot these as discrete > points with something like the following: > > "geocode" is a dataframe with four columns: LAT; LONG; MAGNITUDE;VALUE. > > library(maps) > library(mapdata) > map("worldHires", regions=c("Germany", "Belgium", "Netherlands")) > points(geocode$LONG, geocode$LAT, cex=geocode$MAGNITUDE / 2500, > col=rainbow(length(geocode$VALUE), start=0, end=.4)[rank(geocode$VALUE)]) > > This gives me a map of Europe with my datapoints highlighted in two ways: > magnitude is represented by the size of the point, and value is > represented by the color. > > However, what I would really like is for there to be some sort of > diffusion, such that instead of discrete points, the European map is > covered in color so I can see more clearly whether there are regional > patterns (something that will presumably look like this contour chart: > <http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=20> only > on the European map). > > I have absolutely no idea where to start because I can't find a function > that will allow me to diffuse the datapoints on a map. > > thank you for any help > ldb > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Drs. Paul Hiemstra Department of Physical Geography Faculty of Geosciences University of Utrecht Heidelberglaan 2 P.O. Box 80.115 3508 TC Utrecht Phone: +31302535773 Fax: +31302531145 http://intamap.geo.uu.nl/~paul ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.