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We should attempt to rely on the super well-maintained sf package. It contains a lot of really nice function which could be leveraged really quickly.
First of all, it contains all the information needed to represent geometries, such as arenas.
It can create a bounding box (st_bbox) from a vector of points (need to find a way to create a vector of points (st_point) form two vectors (x and y coordinates). Can also create circles (https://r-spatial.github.io/sf/reference/st_nearest_feature.html), so maybe find good way to do that from animovement (and here st_buffer can be used to generate zones)
It contains relational functions like is within, distance to, nearest point, nearest feature, overlaps with and more.
st_make_grid which can be useful for something like an exploratory behaviour test.
We should attempt to rely on the super well-maintained
sf
package. It contains a lot of really nice function which could be leveraged really quickly.st_bbox
) from a vector of points (need to find a way to create a vector of points (st_point
) form two vectors (x and y coordinates). Can also create circles (https://r-spatial.github.io/sf/reference/st_nearest_feature.html), so maybe find good way to do that from animovement (and herest_buffer
can be used to generate zones)st_make_grid
which can be useful for something like an exploratory behaviour test.st_buffer
which can also be used to make zones (https://r-spatial.github.io/sf/articles/sf1.html#geometrycollection).st_centroid
can be used to generate a centroid for top view pose estimation animals.The text was updated successfully, but these errors were encountered: