Hi Sébastien,
Probably not an issue and more of a "missuse", but hoping this is a good place to ask you about it:
I want to assign a df of Danish anglers (sea and inland waters) to their most probable municipality. So I thought of using regional_seas to add a coastal buffer around this municipality layer of Denmark, to try and catch the offshore anglers.
In the process, I lose a few of the municipalities, which seem to be the landlocked ones. Then, when I use the resulting layer to filter and assign the anglers, I'm missing many inland points.
- Does the function "dissolve" the inland municipalities?
(Maybe this?
# Remove inside terrestrial parts
st_difference(x_union) %>%
st_cast()
)
- Am I using it as intended, or did I missunderstand?
Hi Sébastien,
Probably not an issue and more of a "missuse", but hoping this is a good place to ask you about it:
I want to assign a df of Danish anglers (sea and inland waters) to their most probable municipality. So I thought of using regional_seas to add a coastal buffer around this municipality layer of Denmark, to try and catch the offshore anglers.
In the process, I lose a few of the municipalities, which seem to be the landlocked ones. Then, when I use the resulting layer to filter and assign the anglers, I'm missing many inland points.
(Maybe this?
# Remove inside terrestrial parts
st_difference(x_union) %>%
st_cast()
)