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library(sf) #> Linking to GEOS 3.9.0, GDAL 3.2.1, PROJ 7.2.1 p1 <- st_as_sfc("POLYGON((0 0, 0 10, 10 10, 10 0, 0 0))") p2 <- st_as_sfc("POLYGON((0 0, 0 10, 10 0))") st_is_valid(p1) #> [1] TRUE st_is_valid(p2) #> [1] NA set1 <- c(p1, p2) st_is_valid(set1) #> [1] NA NA
Created on 2021-08-17 by the reprex package (v2.0.0)
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This means you can't use st_is_valid to filter out bogus geometries.
st_is_valid
The text was updated successfully, but these errors were encountered:
I need to look into that; seems the exception isn't handled well. This works, as it takes a different code path:
> st_is_valid(st_set_crs(c(p2, p1), 4326)) [1] FALSE TRUE
Sorry, something went wrong.
Regression due to #1666 , caused by 4911f5a#diff-521de431b1dfb220cfc90979d89d49d54546d9938a02f44e3b7a58fefbcd6192
f1397e3
add test for #1761, from #1760
aadc777
fix #1760 #1761; of interest to #1666
dfeee48
moves the [.sfc logic to c++; fixes the case where reason=TRUE and exceptions arise
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Created on 2021-08-17 by the reprex package (v2.0.0)
Session info
This means you can't use
st_is_valid
to filter out bogus geometries.The text was updated successfully, but these errors were encountered: