Comments (2)
Hi @KoalaGeo glad you like the library!
Currently, I have no such plans.
What behaviour would you expect these functions to have in H3-Pandas?
compact
and uncompact
are set operations and applying them to a dataframe with potential additional data is not straightforward. I see two general options
- The data would have to be removed and the returned dataframe would be index-only. This would not be difficult to implement. I can see how that's still potentially convenient, as it allows you to string further h3 operations.
- The compacted/uncompacted cells would have to be matched back with the rows they originated from with some (dis)aggregation operation being performed on the data. k_ring_smoothing does something similar.
It would be helpful if you could elaborate on your usecase to drive the potential API.
from h3-pandas.
I'm working with polygons, primarily categorical data (geology, rock type, formation name, descriptions etc).
I'm using polyfill / polyfill_resample, however it's resulting in massive numbers of polygons to accurately represent the input geometries - resolution 13 or 14 required.
I could do with the compact
function at the end to simplify the data to fewer features using an index attribute eg rock type.
from h3-pandas.
Related Issues (18)
- ENH: Support vectorized operations
- ENH: Support LineStrings HOT 3
- CRS Warning for k_ring_smoothing when using k param HOT 5
- support h3 v4.0.0 HOT 1
- h3_to_parent at resolution 0 labels it as direct parent HOT 1
- how do the weights for k_ring_smoothing work
- Consider integrating different geospatial indexing systems HOT 1
- handle nulls in `k_ring_smoothing`
- GeoDataFrame has no attribute 'h3' only when multiprocessing using JobLib HOT 2
- Q: Multicore support? HOT 4
- 13 and higher H3-resolution HOT 3
- geopandas integration, support arbitrary geometry column name
- ValueError using `polyfill` + `h3_to_geo_boundary` HOT 2
- ENH: Implement a "finer `polyfill`" HOT 3
- ENH: `polyfill_resample` distributes numeric values appropriately
- ENH: Support other H3 APIs
- ENH: Implement `h3_to_children`
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from h3-pandas.