getDaymet error: "Error in var[[i]] * scale_factor : non-numeric argument to binary operator"

[rsmiller74]

Is this package still being maintained?

When attempting to compile daymet data the "Error in var[[i]] * scale_factor : non-numeric argument to binary operator" is returned.

library(sf) library(climateR) packageVersion("climateR")

library(AOI) packageVersion("AOI")

AOI = aoi_get(state = "IL")

p<-getDaymet(AOI=AOI, param="prcp", startDate="2020-01-01", endDate="2020-12-31")

library(sf) library(climateR) packageVersion("climateR")
[1] ‘0.1.0’

library(AOI) packageVersion("AOI")
[1] ‘0.2.1’

AOI = aoi_get(state = "IL")

p<-getDaymet(AOI=AOI, param="prcp", startDate="2020-01-01", endDate="2020-12-31") Spherical geometry (s2) switched off Spherical geometry (s2) switched on Error in var[[i]] * scale_factor : non-numeric argument to binary operator

[ERGINCAGATAYCANKAYA]

I have the same problem. Could you please help us?

[rsmiller74]

This is still an issue as of 26 Jan 2023. See example below. The error appears to be thrown from 'fast.download' at the end of the getDaymet function.

aoi.object <- aoi_get(state="VA", county="Fairfax")

p<-getDaymet(AOI=aoi.object, param="tmax", startDate="2018-01-01", endDate="2018-01-05") Spherical geometry (s2) switched off Spherical geometry (s2) switched on Error in var[[i]] * scale_factor : non-numeric argument to binary operator

[mikejohnson51]

Hi @rsmiller74 @ERGINCAGATAYCANKAYA ,

Sorry for the long delay on this. The package has been completely re-written to supply greater flexibility, more datasets, and easier use. In this example, all calls to Daymet (and to a larger extent all calls to var[[i]] * scale_factor) have been resolved:

library(climateR)
#> Using GDAL version 3.6.0 which was retracted because it cannot write large GPKG files
library(AOI)
library(terra)
#> terra 1.7.8

aoi.object <- aoi_get(state="VA", county="Fairfax")

p<-getDaymet(AOI=aoi.object, varname="tmax", startDate="2018-01-01", endDate="2018-01-05")

plot(p$tmax_total)

^{Created on 2023-02-16 by the reprex package (v2.0.1)}

I hope the package rewrite proves useful to you if you are still using it and pursuing simular research/data questions. I am also in a place where I can maintain this software as part of my job and not on the side which will allow much more rapid development and support.

Thanks again for your patience,

Mike