Dear R help, We are trying to visualise spatial raster data. We have per line, X & Y coordinates and Z(data). How could we visualise this type of data? We also would like to add extra data points to this plot based on new X,Y and Z data.
We used the following function but would like to use only the graph in the upper right corner (spatial one) . Similar to the graph cfr. http://www.est.ufpr.br/geoR/geoRdoc/vignette/geoRintro/geoRintrose3.html#x4-60003.1 geo_iRVI <- as.geodata(pixels_blok,coords.col=2:3, data.col=4) plot(geo_iRVI) How can this plot be optimized? And can we add other points to it? Another solution could be: filled.contour(AVG,color=terrain.colors, xlab="Longitude (°)", ylab="Latitude (°)) but therefore the data needs to be organised differently, not per line of X,Y coordinates but in a raster form. Can anyone advise functions to visualise spatial raster data optimally? thanks, Jan windows R 2.2 library(geoR) library(akima) Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm ______________________________________________ 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