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 Proceedings of the 18th International Conference on Location Based Services (pp. 98–109). https://doi.org/10.34726/5703
18th International Conference on Location Based Services (LBS 2023)
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Event date:
20-Nov-2023 - 22-Nov-2023
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Event place:
Ghent, Belgium
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Number of Pages:
12
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Keywords:
Point of Interest (POI); National Address Information; Information Entropy; Grid Partitioning
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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.
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Project (external):
National Research Foundation of Korea(NRF) Ministry of Land, Infrastructure and Transport(MOLIT)
CC BY 4.0
