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Articles | Volume 5
Articles | Volume 5
Abstr. Int. Cartogr. Assoc., 5, 59, 2022
https://doi.org/10.5194/ica-abs-5-59-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Abstr. Int. Cartogr. Assoc., 5, 59, 2022
https://doi.org/10.5194/ica-abs-5-59-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5
 
14 Sep 2022
14 Sep 2022

Semi-Automatic Spatial Classification of Heterogeneous Spatial Open Government Data – Use Case of Germany

Sebastian Meier Sebastian Meier
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  • Potsdam University of Applied Sciences, Germany

Keywords: Data, Classification, Similarity, Taxonomy, Automation

How to cite. Meier, S.: Semi-Automatic Spatial Classification of Heterogeneous Spatial Open Government Data – Use Case of Germany, Abstr. Int. Cartogr. Assoc., 5, 59, https://doi.org/10.5194/ica-abs-5-59-2022, 2022.
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