worldclim_country is full of NaNs for US

brendanwallison commented 1 year ago

It works for a smaller country like Iceland: wc <- worldclim_country("Iceland", "bio", ".") wc

class : SpatRaster dimensions : 840, 1920, 12 (nrow, ncol, nlyr) resolution : 0.008333333, 0.008333333 (x, y) extent : -28, -12, 60, 67 (xmin, xmax, ymin, ymax) coord. ref. : lon/lat WGS 84 (EPSG:4326) source : ISL_wc2.1_30s_tavg.tif names : ISL_w~avg_1, ISL_w~avg_2, ISL_w~avg_3, ISL_w~avg_4, ISL_w~avg_5, ISL_w~avg_6, ... min values : -8.8, -9.8, -11.2, -10.2, -6.1, -2.7, ... max values : 6.3, 5.9, 5.4, 5.9, 7.7, 10.8, ...

while wc4 <- worldclim_country("US", "bio", ".") wc4

class : SpatRaster dimensions : 6540, 43140, 19 (nrow, ncol, nlyr) resolution : 0.008333333, 0.008333333 (x, y) extent : -179.5, 180, 18.5, 73 (xmin, xmax, ymin, ymax) coord. ref. : lon/lat WGS 84 (EPSG:4326) source : USA_wc2.1_30s_bio.tif names : wc2.1~bio_1, wc2.1~bio_2, wc2.1~bio_3, wc2.1~bio_4, wc2.1~bio_5, wc2.1~bio_6, ...

Notice the lack of min and max values and the extent that doesn't make sense. If I take the summary, it is nothing but NaNs

summary(wc4)

wc2.1_30s_bio_1 wc2.1_30s_bio_2 wc2.1_30s_bio_3 Min. : NA Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA Median : NA
Mean :NaN Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA Max. : NA
NA's :100812 NA's :100812 NA's :100812
wc2.1_30s_bio_4 wc2.1_30s_bio_5 wc2.1_30s_bio_6 Min. : NA Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA Median : NA
Mean :NaN Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA Max. : NA
NA's :100812 NA's :100812 NA's :100812
wc2.1_30s_bio_7 wc2.1_30s_bio_8 wc2.1_30s_bio_9 Min. : NA Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA Median : NA
Mean :NaN Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA Max. : NA
NA's :100812 NA's :100812 NA's :100812
wc2.1_30s_bio_10 wc2.1_30s_bio_11 wc2.1_30s_bio_12 Min. : NA Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA Median : NA
Mean :NaN Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA Max. : NA
NA's :100812 NA's :100812 NA's :100812
wc2.1_30s_bio_13 wc2.1_30s_bio_14 wc2.1_30s_bio_15 Min. : NA Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA Median : NA
Mean :NaN Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA Max. : NA
NA's :100812 NA's :100812 NA's :100812
wc2.1_30s_bio_16 wc2.1_30s_bio_17 wc2.1_30s_bio_18 Min. : NA Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA Median : NA
Mean :NaN Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA Max. : NA
NA's :100812 NA's :100812 NA's :100812
wc2.1_30s_bio_19 Min. : NA
1st Qu.: NA
Median : NA
Mean :NaN
3rd Qu.: NA
Max. : NA
NA's :100812
Warning message: [summary] used a sample

mcx8 commented 7 months ago

I have the same issue and was wondering if this has been resolved?

Alexromer2 commented 4 months ago

I'm also experiencing this issue

rspatial / geodata

worldclim_country is full of NaNs for US #45