<div class="csl-bib-body">
<div class="csl-entry">Kim, J., Kim, H., & Lee, J. (2023). Analyzing Land Use Mixing Degree using a Vector Data Cube with Hierarchical Cell: A Case Study of Seoul, the Republic of Korea. In <i>Proceedings of the 18th International Conference on Location Based Services</i> (pp. 98–109). https://doi.org/10.34726/5703</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/194710
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dc.identifier.uri
https://doi.org/10.34726/5703
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dc.description.abstract
The type of urban land use is a very important factor in urban planning. Therefore, to quantitatively calculate the land use mixing degree, this study applied information entropy to point of interest data to perform the time-series analysis of the land use status. The visual comparison of the cell divided according to the land use mixing degree obtained using the proposed method with the current data provided by the map service portal confirmed the significance of the proposed method.
en
dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Point of Interest (POI)
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dc.subject
National Address Information
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dc.subject
Information Entropy
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dc.subject
Grid Partitioning
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dc.title
Analyzing Land Use Mixing Degree using a Vector Data Cube with Hierarchical Cell: A Case Study of Seoul, the Republic of Korea
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/5703
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dc.contributor.affiliation
Konkuk University, Korea (the Republic of)
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dc.contributor.affiliation
Konkuk University, Korea (the Republic of)
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dc.contributor.affiliation
Konkuk University, Korea (the Republic of)
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dc.relation.doi
10.34726/5400
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dc.description.startpage
98
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dc.description.endpage
109
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dc.rights.holder
Authors
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the 18th International Conference on Location Based Services
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tuw.relation.ispartof
10.34726/5400
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E000 - Technische Universität Wien
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dc.identifier.libraryid
AC17203838
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dc.description.numberOfPages
12
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.event.name
18th International Conference on Location Based Services (LBS 2023)
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dc.description.sponsorshipexternal
National Research Foundation of Korea(NRF)
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dc.description.sponsorshipexternal
Ministry of Land, Infrastructure and Transport(MOLIT)
