Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)
Chris Brunsdon, Paul Harris, and Alexis Comber. Smarter Than Your Average Model - Bayesian Model Averaging as a Spatial Analysis Tool (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 17:1-17:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
@InProceedings{brunsdon_et_al:LIPIcs.GIScience.2023.17, author = {Brunsdon, Chris and Harris, Paul and Comber, Alexis}, title = {{Smarter Than Your Average Model - Bayesian Model Averaging as a Spatial Analysis Tool}}, booktitle = {12th International Conference on Geographic Information Science (GIScience 2023)}, pages = {17:1--17:6}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-288-4}, ISSN = {1868-8969}, year = {2023}, volume = {277}, editor = {Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.17}, URN = {urn:nbn:de:0030-drops-189123}, doi = {10.4230/LIPIcs.GIScience.2023.17}, annote = {Keywords: Bayesian, Varying coefficient regression, Spatial statistics} }
Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)
Alexis Comber, Paul Harris, and Chris Brunsdon. Multiscale Spatially and Temporally Varying Coefficient Modelling Using a Geographic and Temporal Gaussian Process GAM (GTGP-GAM) (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 22:1-22:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
@InProceedings{comber_et_al:LIPIcs.GIScience.2023.22, author = {Comber, Alexis and Harris, Paul and Brunsdon, Chris}, title = {{Multiscale Spatially and Temporally Varying Coefficient Modelling Using a Geographic and Temporal Gaussian Process GAM (GTGP-GAM)}}, booktitle = {12th International Conference on Geographic Information Science (GIScience 2023)}, pages = {22:1--22:6}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-288-4}, ISSN = {1868-8969}, year = {2023}, volume = {277}, editor = {Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.22}, URN = {urn:nbn:de:0030-drops-189173}, doi = {10.4230/LIPIcs.GIScience.2023.22}, annote = {Keywords: Spatial Analysis, Spatiotemproal Analysis} }
Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)
Alexis Comber, Paul Harris, Daisuke Murakami, Narumasa Tsutsumida, and Chris Brunsdon. Geographically Varying Coefficient Regression: GWR-Exit and GAM-On? (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 13:1-13:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
@InProceedings{comber_et_al:LIPIcs.COSIT.2022.13, author = {Comber, Alexis and Harris, Paul and Murakami, Daisuke and Tsutsumida, Narumasa and Brunsdon, Chris}, title = {{Geographically Varying Coefficient Regression: GWR-Exit and GAM-On?}}, booktitle = {15th International Conference on Spatial Information Theory (COSIT 2022)}, pages = {13:1--13:10}, 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-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.13}, URN = {urn:nbn:de:0030-drops-168986}, doi = {10.4230/LIPIcs.COSIT.2022.13}, annote = {Keywords: Geographically weighted regression, Spatial Analysis, Process Spatial Heterogeneity, Model Semantics} }
Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)
Narumasa Tsutsumida, Daisuke Murakami, Takahiro Yoshida, Tomoki Nakaya, Binbin Lu, Paul Harris, and Alexis Comber. A Comparison of Geographically Weighted Principal Components Analysis Methodologies (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 21:1-21:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
@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-dev.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} }
Published in: LIPIcs, Volume 126, 36th International Symposium on Theoretical Aspects of Computer Science (STACS 2019)
Étienne Bamas and Louis Esperet. Distributed Coloring of Graphs with an Optimal Number of Colors. In 36th International Symposium on Theoretical Aspects of Computer Science (STACS 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 126, pp. 10:1-10:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
@InProceedings{bamas_et_al:LIPIcs.STACS.2019.10, author = {Bamas, \'{E}tienne and Esperet, Louis}, title = {{Distributed Coloring of Graphs with an Optimal Number of Colors}}, booktitle = {36th International Symposium on Theoretical Aspects of Computer Science (STACS 2019)}, pages = {10:1--10:15}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-100-9}, ISSN = {1868-8969}, year = {2019}, volume = {126}, editor = {Niedermeier, Rolf and Paul, Christophe}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2019.10}, URN = {urn:nbn:de:0030-drops-102496}, doi = {10.4230/LIPIcs.STACS.2019.10}, annote = {Keywords: Graph coloring, distributed algorithm, maximum degree} }
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