Hi list fellows,
Do someone have any idea to calculate the standard deviation of GWR predictions
(prediction variances), similary as we calculate with the sqrt of prediction
variance provided by kriging?
Would be thankful for any help?
Best regards
Imran
Dear all,
I have a list of pixel images that I would like to export to in a raster
format, i.e. GRID, tif, etc, to be able to visualize them in ArcGIS/QGIS
but I am not sure how to convert them to SpatialGridDataFrame to be able to
export them as tif using writeGGAL. For example:
#
Here's one way:
library(spatstat)
data(lansing)
rrisklan - relrisk(lansing))
names(rrisklan)
[1] blackoak hickory maplemisc redoak whiteoak
library(maptools)
## set up first grid, with first attribute blackoak
g - as(rrisklan[[1]], SpatialGridDataFrame)
names(g) - blackoak
if