License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.59
URN: urn:nbn:de:0030-drops-189540
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18954/
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Peng, Zhan ; Inoue, Ryo

Moran Eigenvectors-Based Spatial Heterogeneity Analysis for Compositional Data (Short Paper)

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LIPIcs-GIScience-2023-59.pdf (2 MB)

Abstract

Spatial analysis of data with compositional structure has gained increasing attention in recent years. However, the spatial heterogeneity of compositional data has not been widely discussed. This study developed a Moran eigenvectors-based spatial heterogeneity analysis framework to investigate the spatially varying relationships between the compositional dependent variable and real-value covariates. The proposed method was applied to municipal-level household income data in Tokyo, Japan in 2018.

BibTeX - Entry

@InProceedings{peng_et_al:LIPIcs.GIScience.2023.59,
  author =	{Peng, Zhan and Inoue, Ryo},
  title =	{{Moran Eigenvectors-Based Spatial Heterogeneity Analysis for Compositional Data}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{59:1--59:6},
  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.dagstuhl.de/opus/volltexte/2023/18954},
  URN =		{urn:nbn:de:0030-drops-189540},
  doi =		{10.4230/LIPIcs.GIScience.2023.59},
  annote =	{Keywords: Compositional data analysis, Spatial heterogeneity, Moran eigenvectors}
}

Keywords: Compositional data analysis, Spatial heterogeneity, Moran eigenvectors
Collection: 12th International Conference on Geographic Information Science (GIScience 2023)
Issue Date: 2023
Date of publication: 07.09.2023

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