@InProceedings{tsutsumida_et_al:LIPIcs.COSIT.2022.21,
author = {Tsutsumida, Narumasa and Murakami, Daisuke and Yoshida, Takahiro and Nakaya, Tomoki and Lu, Binbin and Harris, Paul and Comber, Alexis},
title = {{A Comparison of Geographically Weighted Principal Components Analysis Methodologies}},
booktitle = {15th International Conference on Spatial Information Theory (COSIT 2022)},
pages = {21:1--21:6},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-257-0},
ISSN = {1868-8969},
year = {2022},
volume = {240},
editor = {Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.21},
URN = {urn:nbn:de:0030-drops-169062},
doi = {10.4230/LIPIcs.COSIT.2022.21},
annote = {Keywords: Spatial heterogeneity, Geographically weighted, Sparsity, PCA}
}