Dual-environment feature fusion-based method for estimating building-scale population distributions

References

• Balakrishnan, K. 2020. “A Method for Urban Population Density Prediction at 30m Resolution.” Cartography and Geographic Information Science 47 (3): 193–213. https://doi.org/10.1080/15230406.2019.1687014.
   Web of Science ®Google Scholar
• Bright, E., A. Rose, and M. Urban. 2016. LandScan Global 2015. Oak Ridge National Laboratory. https://doi.org/10.48690/1524210.
   Google Scholar
• Cao, Y., J. Liu, Y. Wang, L. Wang, W. Wu, and F. Su. 2020. “A Study on the Method for Functional Classification of Urban Buildings by Using POI Data.” Journal of Geo-Information Science 22 (6): 1339–1348. https://doi.org/10.12082/dqxxkx.2020.190608.
   Google Scholar
• Chen, C., A. Qiu, X. Zhao, Y. Zhu, and S. Zhang. 2022. “Urban Functional Area Division Based on AOI Data and Random Forest Method.” Science of Surveying & Mapping 47 (7): 160–168. https://doi.org/10.16251/j.cnki1009-2307.2022.07.021.
   Google Scholar
• Chen, W., Y. Zhou, and Q. Wu. 2020. “Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China.” Remote Sensing 12 (17): 2805. https://doi.org/10.3390/rs12172805.
   Web of Science ®Google Scholar
• Chen, Z., L. Zhou, W. Yu, L. Wu, and Z. Xie. 2020. “Identification of the Urban Functional Regions Considering the Potential Context of Interest Points.” Acta Geodaetica et Cartographica Sinica 49 (7): 907–920. https://doi.org/10.11947/j.AGCS.2020.20190315.
   Google Scholar
• Chi, J., L. Jiao, T. Dong, Y. Gu, and Y. Ma. 2016. “Quantitative Identification and Visualization of Urban Functional Area Based on POI Data.” Journal of Geomatics 41 (2): 68–73. https://doi.org/10.14188/j.2095-6045.2016.02.017.
   Google Scholar
• Dong, N., X. Yang, and H. Cai. 2016. “A Method for Demographic Data Spatialization Based on Residential Space Attributes.” Progress in Geography 35 (11): 1317–1328. https://doi.org/10.18306/dlkxjz.2016.11.002.
   Google Scholar
• Freire, S., K. MacManus, M. Pesaresi, E. Doxsey-Whitfield, and J. Mills. 2016. “Development of New Open and Free Multi-Temporal Global Population Grids at 250mresolution.” Paper presented at the 19th AGILE Conference on Geographic Information Science, Helsinki, Finland. 250.
   Google Scholar
• Gui, Z., Y. Mei, H. Wu, and R. Li. 2022. “Urban Population Spatialization by Considering the Heterogeneity on Local Resident Attraction Force of POIs.” Journal of Geo-Information Science 24 (10): 1883–1897. https://doi.org/10.12082/dqxxkx.2022.220384.
   Google Scholar
• Han, D., X. Yang, H. Cai, X. Xu, Z. Qiao, C. Cheng, N. Dong, D. Huang, and A. Liu. 2019. “Modelling Spatial Distribution of Fine-Scale Populations Based on Residential Properties.” International Journal of Remote Sensing 40 (14): 5287–5300. https://doi.org/10.1080/01431161.2019.1579387.
   Web of Science ®Google Scholar
• He, L., J. Pan, and L. Dong. 2020. “Study on the Spatial Identification of Housing Vacancy.” Remote Sensing Technology and Application 35 (4): 820–831. https://doi.org/10.11873/j.issn.1004-0323.2020.4.0820.
   Google Scholar
• Hu, Q., R. Li, H. Wu, and Z. Liu. 2022. “Construction of a Refined Population Analysis Unit Based on Urban Forms and Population Aggregation Patterns.” International Journal of Digital Earth 15 (1): 79–107. https://doi.org/10.1080/17538947.2021.2013963.
   Web of Science ®Google Scholar
• Kubíček, P., M. Konečný, Z. Stachoň, J. Shen, L. Herman, T. Řezník, K. Staněk, R. Štampach, and Š. Leitgeb. 2019. “Population distribution modelling at fine spatio-temporal scale based on mobile phone data.” International Journal of Digital Earth 12 (11): 1319–1340. https://doi.org/10.1080/17538947.2018.1548654.
   Web of Science ®Google Scholar
• Lai, Y., T. Liu, and C. Hwang. 1994. “Topsis for MOZDM.” European Journal of Operational Research 76 (3): 486–500. https://doi.org/10.1016/0377-2217(94)90282-8.
   Web of Science ®Google Scholar
• Li, D. and J. Peng. 2007. “Transformation Between Urban Spatial Lnformation Lrregular Grid and Regular Grid.” Geomatics and Information Science of Wuhan University 2007 (2): 95–99. https://doi.org/10.3321/j.issn:1671-8860.2007.02.001.
   Google Scholar
• Li, S., L. Wang, and N. Dong. 2013. “Simulation of Urban Small-Area Population Space-Time Distribution Based on Building Extraction: Taking Beijing Donghuamen Subdistrict as an Example.” Journal of Geo-Information Science 15 (1): 19–28. https://doi.org/10.3724/SP.J.1047.2013.00019.
   Google Scholar
• Li, Z., L. Jiao, B. Zhang, G. Xu, and J. Liu. 2021. “Understanding the Pattern and Mechanism of Spatial Concentration of Urban Land Use, Population and Economic Activities: A Case Study in Wuhan, China.” Geo-Spatial Information Science 24 (4): 678–694. https://doi.org/10.1080/10095020.2021.1978276.
   Web of Science ®Google Scholar
• Lin, X., and J. Zhang. 2017. “Object-Based Morphological Building Index for Building Extraction from High Resolution Remote Sensing Lmagery.” Acta Geodaetica et Cartographica Sinica 46 (6): 724–733. https://doi.org/10.11947/j.AGCS.2017.20170068.
   Google Scholar
• Liu, X., P. Kyriakidis, and M. Goodchild. 2008. “Population Density Estimation Using Regression and Area-To-Point Residual Kriging.” International Journal of Geographical Information Science 22 (4): 431–447. https://doi.org/10.1080/13658810701492225.
   Web of Science ®Google Scholar
• Liu, Z., Z. Gui, H. Wu, K. Qin, J. Wu, Y. Mei, and J. Zhao. 2021. “Fine-Scale Population Spatialization by Synthesizing Building Data and POI Data.” Journal of Geomatics 46 (5): 102–106. https://doi.org/10.14188/j.2095-6045.2019182.
   Google Scholar
• Lloyd, C. T., H. J. W. Sturrock, D. R. Leasure, W. C. Jochem, A. N. Lázár, and A. J. Tatem. 2020. “Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings.” Remote Sensing 12 (23): 3847. https://doi.org/10.3390/rs12233847.
   Web of Science ®Google Scholar
• Loh, W., and Y. Shin. 1997. “Split Selection Methods for Classification Trees.” Statistica Sinica 7 (4): 815–840. https://doi.org/10.1007/s004400050133.
   Web of Science ®Google Scholar
• Lv, A., C. Li, Z. Lin, and Y. Jin. 2002. “Spatial Distribution of Statistical Population Data.” Geomatics and Information Science of Wuhan University 27 (3): 301–305. https://doi.org/10.3969/j.issn.1671-8860.2002.03.014.
   Google Scholar
• Mei, Y., Z. Gui, J. Wu, D. Peng, R. Li, H. Wu, and Z. Wei. 2022. “Population Spatialization with Pixel-Level Attribute Grading by Considering Scale Mismatch Issue in Regression Modeling.” Geo-Spatial Information Science 25 (3): 365–382. https://doi.org/10.1080/10095020.2021.2021785.
   Web of Science ®Google Scholar
• Meng, Y., R. Li, J. Jiang, S. Wang, and H. Wu. 2021. “Urban Street Scale Population Estimation Based on Building Information.” Geomatics and Information Science of Wuhan University 46 (8): 1194–1200. https://doi.org/10.13203/j.whugis20190343.
   Google Scholar
• Mennis, J. 2009. “Dasymetric Mapping for Estimating Population in Small Areas.” Geography Compass 3 (2): 727–745. https://doi.org/10.1111/j.1749-8198.2009.00220.x.
   Google Scholar
• Metzger, N., J. E. Vargas-Muñoz, R. C. Daudt, B. Kellenberger, T. T. Whelan, F. Ofli, M. Imran, K. Schindler, and D. Tuia. 2022. “Fine-Grained Population Mapping from Coarse Census Counts and Open Geodata.” Scientific Reports 12 (1): 20085. https://doi.org/10.1038/s41598-022-24495-w.
   PubMed Web of Science ®Google Scholar
• Mileu, N., M. Queirós, and P. Morgado. 2022. “Mapping Population Distribution from Open Address Data: Application to Mainland Portugal.” Journal of Maps 18 (3): 585–593. https://doi.org/10.1080/17445647.2022.2114862.
   Web of Science ®Google Scholar
• Min, Y., Y. Zou, Q. Wang, and P. Rao. 2019. “Study of Urban Population Spatial Distribution Based on CA/MAS.” Modern Surveying and Mapping 42 (2): 7–12. https://doi.org/10.3969/j.issn.1672-4097.2019.02.002.
   Google Scholar
• Shang, S., S. Du, S. Du, and S. Zhu. 2021. “Estimating building-scale population using multi-source spatial data.” Cities 111:103002. https://doi.org/10.1016/j.cities.2020.103002.
   Web of Science ®Google Scholar
• Wang, L., L. Wang, and M. Cai. 2022. “Research on Dynamic Weight Fusion Method Based on Multi-Source Speed data.B2022.” Acta Scientiarum Naturalium Universitatis Sunyatseni 61 (5): 31–40. https://doi.org/10.13471/j.cnki.acta.snus.2021B019.
   Google Scholar
• Wang, M., Y. Wang, B. Li, Z. Cai, and M. Kang. 2022. “A Population Spatialization Model at the Building Scale Using Random Forest.” Remote Sensing 14 (8): 1811. https://doi.org/10.3390/rs14081811.
   Web of Science ®Google Scholar
• Wang, S., R. Li, J. Jiang, and M. Yao. 2021. “Fine-Scale Population Estimation Based on Building Classifications: A Case Study in Wuhan.” Future Internet 13 (10): 251. https://doi.org/10.3390/fi13100251.
   Web of Science ®Google Scholar
• Xia, L., X. Zhang, J. Zhang, H. Yang, and T. Chen. 2021. “Building Extraction from Very-High-Resolution Remote Sensing Images Using Semi-Supervised Semantic Edge Detection.” Remote Sensing 13 (11): 2187–2187. https://doi.org/10.3390/RS13112187.
   Web of Science ®Google Scholar
• Yang, X., Z. Fang, and L. Yin. 2018. “Exploring the Relationship Between Urban Spatial Structure and the Stability of Human Convergence-Divergence.” Journal of Geo-Information Science 20 (6): 791–798. https://doi.org/10.12082/dqxxkx.2018.180026.
   Google Scholar
• Yao, Y., X. Liu, X. Li, J. Zhang, Z. Liang, K. Mai, and Y. Zhang. 2017. “Mapping Fine-Scale Population Distributions at the Building Level by Integrating Multisource Geospatial Big Data.” International Journal of Geographical Information Science 31 (6): 25. https://doi.org/10.1080/13658816.2017.1290252.
   Web of Science ®Google Scholar
• Zhang, D., D. Li, L. Zhou, J. Huang, G. Hang, J. Wang, and Y. Ma. 2021. “High Precision Space Estimation of Housing Vacancy Rate Using High Resolution Image and Luojia-1.” Bulletin of Surveying & Mapping 1:41–46+52. https://doi.org/10.13474/j.cnki.11-2246.2021.0008.
   Google Scholar
• Zhang, G., S. Poslad, Y. Fan, and X. Rui. 2022. “Quantitative Spatiotemporal Impact of Dynamic Population Density Changes on the COVID-19 Pandemic in China’s Mainland.” Geo-Spatial Information Science 1–22. https://doi.org/10.1080/10095020.2022.2066576.
   Web of Science ®Google Scholar
• Zhao, W., Q. Li, and B. Li. 2011. “Extracting Hierarchical Landmarks from Urban POI Data.” Journal of Remote Sensing 15 (5): 973–988. https://doi.org/10.11834/jrs.20110173.
   Google Scholar
• Zhao, Y., Q. Li, Y. Zhang, and X. Du. 2019. “Improving the Accuracy of Fine-Grained Population Mapping Using Population-Sensitive POIs.” Remote Sensing 11 (21): 2502. https://doi.org/10.3390/rs11212502.
   Web of Science ®Google Scholar