knime-geospatial-extension

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Update dependencies to latest version

8

- Update Python library to at least 3.11 or whatever version is supported by KNIME - LibPysal - ...

koettert

No module named 'pyogrio'

2

After installing Knime and Geospatial Extension i tried to open a geopackage and json. Both give me the following error : GeoFile Reader : ``` ERROR GeoFile Reader 3:1 Execute...

vprint

US2020 Census Data has odd default value

2

In the config field "US Census APIkey" the node uses a plain string as a default value. This doesn't work, if the user doesn't change this. Either we make this...

sturmkev

change default value to NAN, revise description, set APIkey as advanced parameter [Issue](https://github.com/spatial-data-lab/knime-geospatial-extension/issues/389)

UrbanGISer

1 allow choosing file on local drive and using URL 2 allow encoding parameter 3 add option to create missing folder while saving files

UrbanGISer

When I run different configuration combinations of place tags (`key`) and value tags (`value`) (according to https://taginfo.openstreetmap.org/) for the OSM POIs node the node fails: `Execute failed: ('cannot mix list...

sturmkev

This would be a nice enhancement of the node to avoid unnecessary looping if a user needs to fetch multiple value tags (`value`) of a single place tag (`key`) from...

sturmkev

I want to clip two OSM datasets, both are using the same EPSG code. However, the clip node always fails with the below error. It also doesn't matter if I...

koettert

US2020 Tiger Map node fails with 403 Forbidden

2

https://forum.knime.com/t/solution-us2020-tiger-map-knime-node-error-for-windows-11/87533 We assume this is a problem with the service itself as mentioned [here](https://flowingdata.com/2025/02/04/geographic-boundary-data-from-census-bureau-is-offline/) similar to https://www.reddit.com/r/gis/comments/1igxwf8/anyone_else_getting_a_403_forbidden_error_when/ but will investigate to see if we can find more information about this.

koettert

Spatial Join and Nearest Join gdf = gdf.loc[:, ~gdf.columns.str.contains(r"")] Clip gdf_clip.reset_index(drop=True, inplace=True)

UrbanGISer