I am trying to find any R package that can provide me any build-on function for computing a 3D neighborhood filter or statistics,... (if that already exists!), or if not, at least any function from a non-spatial R-package that could be useful to build my function.
Any info about preexisting R packages or any tips how to implement it with other packages are very very welcome! The data: 3D point data set (centers of voxels= volumetric pixels) read as an R data.frame with 4 columns (x,y,z, and an attribute). Can be big (e.g. millions rows) The problem: 1) Evaluate the values of the attribute column for all the points within a 3D neighborhood from any point (any instance in the data.frame differing less than "X" value in X,Y,Z, coordinates). (i.e. A sort of moving window for a raster but in a 3D neighborhood). 2) Transform the "cell" or 3D point attribute value, if a condition is fulfilled for any of the 3D neighbors. Thanks a lot! Jose Tanago Lab. of Remote Sensing, Wageningen University [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo