Ted Rosenbaum pisze:
I have a dataset of manufacturing plants with employment levels at
each one. I am looking to generate a kernel density map to show
changing geographic distribution of employment over time. I am
looking to generate a map similar to that generated by v.kernel, but
just with weights on each point given by the employment of the plant.
Is there a way to do this is grass (or other software...).
Thanks,
Ted Rosenbaum
-------------------------------
Graduate Student
Department of Economics
Yale University
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weighted kernel density you can do with R spatstat package and next put
it back to the GRASS:
in R:
library(maptools)
library(spgrass6)
library(spatstat)
points=readVECT6("points")
ppp_v=as("points["weight_attribute"], "ppp")
dens_ppp_v=density(ppp_v, sigma=500, weights=ppp_v$marks)
sp_dens=as(dens_ppp_v,"SpatialGridDataFrame")
writeGRASS6(sp_dens,"name_of_result_raster_map")
HTH
J.
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