r.grid.world.SGDF.F[[1]] is a numerical vector, not even a matrix, so
clearly as.im.default doesn't know what it should do with it.
Maybe there was once a method as.im for r.grid.world.SGDF.F, which is of
class SpatialGridDataFrame, but no longer - software evolves.
A way you could approach this is converting that object to a stars object:
> library(stars)
Loading required package: abind
Loading required package: sf
Linking to GEOS 3.12.1, GDAL 3.8.4, PROJ 9.3.1; sf_use_s2() is TRUE
> as.im(st_as_stars(r.grid.world.SGDF.F))
Error: Only projected coordinates may be converted to spatstat class objects
and that points you to another issue you have: spatstat works with data
in Cartesian coordiantes (R2), not with geodetic coordinates (S2). So
that's a helpful error message.
On 08/05/2024 01:49, Alexandre Santos via R-sig-Geo wrote:
Dear Members,
I'll calculate some old codes for a paper review, and I'm astonished that
as.im() for fitting the Poisson model is not working as before. In my example:
library(raster)
library(spatstat)
# Elevation
r.grid.world <-
raster('https://raw.githubusercontent.com/Leprechault/trash/main/wc2.1_10m_elev.tif')
proj4string(r.grid.world) <- CRS("+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84
+towgs84=0,0,0")
r.grid.world.SGDF.F <- as(r.grid.world, "SpatialGridDataFrame")
#Fitting Poisson model
fit.c <- ppm(nztrees, ~ elev,
covariates=list(elev=as.im(r.grid.world.SGDF.F[[1]])))
#
# Error in as.im.default(r.grid.world.SGDF.F[[1]]) :
# Can't convert X to a pixel image
I tried as matrix and rotate, and the final real-valued pixel image didn't work
as a covariate in the model.
Please, any help with it?
Thanks in advance
Alexandre
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Edzer Pebesma (he/him)
Universität Münster, Institute for Geoinformatics
Heisenbergstrasse 2, 48149 Münster, Germany
Phone: +49 251 8333081
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