i have csv file follows:
diversity,longitude,latitude 7,114.99638889,-33.85333333 6,114.99790583,-33.85214594 10,115,-33.85416667 2,115.0252075,-33.84447519 i convert raster file set 'no data' value on of area , values in cells @ long/lat locations.
is there easy way in qgis or python? cheers, steve
not asked for, here how can approach in r
get data:
d <- read.csv('file.csv') d <- cbind(d[,2:3], d[,1]) load raster package:
library(raster) if data regularly spaced:
r <- rasterfromxyz(d) writeraster(r, 'file.tif') else create empty raster , rasterize:
r <- raster(extent(d[,1:2])) res(r) <- 1 # adjust , other parameters see fit r <- rasterize(d[,1:2], d[,3], fun=mean) 
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