Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China
Population spatialization data is crucial to conducting scientific studies of coupled human–environment systems. Although significant progress has been made in population spatialization, the spatialization of different age populations is still weak. POI data with rich information have great potentia...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/4/215 |
| _version_ | 1797446016987824128 |
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| author | Yiyi Huang Tao Lin Guoqin Zhang Wei Zhu Nicholas A. S. Hamm Yuqin Liu Junmao Zhang Xia Yao |
| author_facet | Yiyi Huang Tao Lin Guoqin Zhang Wei Zhu Nicholas A. S. Hamm Yuqin Liu Junmao Zhang Xia Yao |
| author_sort | Yiyi Huang |
| collection | DOAJ |
| description | Population spatialization data is crucial to conducting scientific studies of coupled human–environment systems. Although significant progress has been made in population spatialization, the spatialization of different age populations is still weak. POI data with rich information have great potential to simulate the spatial distribution of different age populations, but the relationship between spatial distributions of POI and different age populations is still unclear, and whether it can be used as an auxiliary variable for the different age population spatialization remains to be explored. Therefore, this study collected and sorted out the number of different age populations and POIs in 2846 county-level administrative units of the Chinese mainland in 2010, divided the research data by region and city size, and explored the relationship between the different age populations and POIs. We found that there is a complex relationship between POI and different age populations. Firstly, there are positive, moderate-to-strong linear correlations between POI and population indicators. Secondly, POI has a different explanatory power for different age populations, and it has a higher explanatory power for the young and middle-aged population than the child and old population. Thirdly, the explanatory power of POI to different age populations is positively correlated with the urban economic development level. Finally, a small number of a certain kinds of POIs can be used to effectively simulate the spatial distributions of different age populations, which can improve the efficiency of obtaining spatialization data of different age populations and greatly save on costs. The study can provide data support for the precise spatialization of different age populations and inspire the spatialization of the other population attributes by POI in the future. |
| first_indexed | 2024-03-09T13:35:09Z |
| format | Article |
| id | doaj.art-88267455091c42f196cfce928e2ea21c |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T13:35:09Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-88267455091c42f196cfce928e2ea21c2023-11-30T21:13:27ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-03-0111421510.3390/ijgi11040215Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in ChinaYiyi Huang0Tao Lin1Guoqin Zhang2Wei Zhu3Nicholas A. S. Hamm4Yuqin Liu5Junmao Zhang6Xia Yao7Key Laboratory of Urban Environment and Health, Institute of Urban Environment Chinese Academy of Sciences, Xiamen 361021, ChinaKey Laboratory of Urban Environment and Health, Institute of Urban Environment Chinese Academy of Sciences, Xiamen 361021, ChinaKey Laboratory of Urban Environment and Health, Institute of Urban Environment Chinese Academy of Sciences, Xiamen 361021, ChinaKey Laboratory of Urban Environment and Health, Institute of Urban Environment Chinese Academy of Sciences, Xiamen 361021, ChinaSchool of Geographical Sciences, University of Nottingham, Ningbo 315100, ChinaKey Laboratory of Urban Environment and Health, Institute of Urban Environment Chinese Academy of Sciences, Xiamen 361021, ChinaKey Laboratory of Urban Environment and Health, Institute of Urban Environment Chinese Academy of Sciences, Xiamen 361021, ChinaKey Laboratory of Urban Environment and Health, Institute of Urban Environment Chinese Academy of Sciences, Xiamen 361021, ChinaPopulation spatialization data is crucial to conducting scientific studies of coupled human–environment systems. Although significant progress has been made in population spatialization, the spatialization of different age populations is still weak. POI data with rich information have great potential to simulate the spatial distribution of different age populations, but the relationship between spatial distributions of POI and different age populations is still unclear, and whether it can be used as an auxiliary variable for the different age population spatialization remains to be explored. Therefore, this study collected and sorted out the number of different age populations and POIs in 2846 county-level administrative units of the Chinese mainland in 2010, divided the research data by region and city size, and explored the relationship between the different age populations and POIs. We found that there is a complex relationship between POI and different age populations. Firstly, there are positive, moderate-to-strong linear correlations between POI and population indicators. Secondly, POI has a different explanatory power for different age populations, and it has a higher explanatory power for the young and middle-aged population than the child and old population. Thirdly, the explanatory power of POI to different age populations is positively correlated with the urban economic development level. Finally, a small number of a certain kinds of POIs can be used to effectively simulate the spatial distributions of different age populations, which can improve the efficiency of obtaining spatialization data of different age populations and greatly save on costs. The study can provide data support for the precise spatialization of different age populations and inspire the spatialization of the other population attributes by POI in the future.https://www.mdpi.com/2220-9964/11/4/215points of interestdifferent age populationsspatial distributionrelationshipgeodetectorChina |
| spellingShingle | Yiyi Huang Tao Lin Guoqin Zhang Wei Zhu Nicholas A. S. Hamm Yuqin Liu Junmao Zhang Xia Yao Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China ISPRS International Journal of Geo-Information points of interest different age populations spatial distribution relationship geodetector China |
| title | Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China |
| title_full | Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China |
| title_fullStr | Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China |
| title_full_unstemmed | Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China |
| title_short | Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China |
| title_sort | exploring the relationship between the spatial distribution of different age populations and points of interest poi in china |
| topic | points of interest different age populations spatial distribution relationship geodetector China |
| url | https://www.mdpi.com/2220-9964/11/4/215 |
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