INVESTIGATING POPULATION BALANCE IN THE STATE OF GEORGIA USING SPATIAL CLUSTERING
Identification of population ratio disruption in the population structure is one of the challenges that every country faces. Population aging is a kind of demographic abnormality that lack of attention causes population problems. A timely warning about the aging of society can be useful for planning...
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University of Isfahan
2024-11-01
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| Series: | ریاضی و جامعه |
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| Online Access: | https://math-sci.ui.ac.ir/article_28374_17fe336e67676f73e7acf252fcfdeaf6.pdf |
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| author | Ali Abolhassani Somayyeh Tari |
| author_facet | Ali Abolhassani Somayyeh Tari |
| author_sort | Ali Abolhassani |
| collection | DOAJ |
| description | Identification of population ratio disruption in the population structure is one of the challenges that every country faces. Population aging is a kind of demographic abnormality that lack of attention causes population problems. A timely warning about the aging of society can be useful for planning about having children on the one hand and providing suitable facilities for the elderly on the other hand. For example, the capital of Japan is a good example of an urban environment suitable for the elderly.One of the anomaly detection tools is spatial clustering using scan statistics. In the last three decades, the scan statistic method has been a very important and active field in statistical research. Identifying areas on geographic maps, where the concentration of points (elderly, sick, criminals, certain animal species, etc.) is significant, is important in many fields such as epidemiology, politics, criminology, zoology, and so on. With the help of scan statistic method, spatial clusters can be identified.In this article, we introduce the scan statistic method based on Poisson distribution. Using simulation, we investigate the efficiency of this method in identifying spatial clusters. Based on the results obtained from the simulation, the Poisson scan statistic method is a suitable method for detecting anomalies in the count spatial data. As an application of spatial clustering, we consider the population structure of the state of Georgia and identify areas where the elderly population is significantly high. These areas should be prioritized in the implementation of population reform programs. |
| format | Article |
| id | doaj-art-2a64fbc690ed4f9f9156cddaa5ad24bf |
| institution | Kabale University |
| issn | 2345-6493 2345-6507 |
| language | fas |
| publishDate | 2024-11-01 |
| publisher | University of Isfahan |
| record_format | Article |
| series | ریاضی و جامعه |
| spelling | doaj-art-2a64fbc690ed4f9f9156cddaa5ad24bf2025-01-05T10:12:21ZfasUniversity of Isfahanریاضی و جامعه2345-64932345-65072024-11-019311513210.22108/msci.2024.138014.158528374INVESTIGATING POPULATION BALANCE IN THE STATE OF GEORGIA USING SPATIAL CLUSTERINGAli Abolhassani0Somayyeh Tari1Department of Mathematics, Azarbaijan Shahid Madani University, Tabriz, IranDepartment of Mathematics, Azarbaijan Shahid Madani University, Tabriz, IranIdentification of population ratio disruption in the population structure is one of the challenges that every country faces. Population aging is a kind of demographic abnormality that lack of attention causes population problems. A timely warning about the aging of society can be useful for planning about having children on the one hand and providing suitable facilities for the elderly on the other hand. For example, the capital of Japan is a good example of an urban environment suitable for the elderly.One of the anomaly detection tools is spatial clustering using scan statistics. In the last three decades, the scan statistic method has been a very important and active field in statistical research. Identifying areas on geographic maps, where the concentration of points (elderly, sick, criminals, certain animal species, etc.) is significant, is important in many fields such as epidemiology, politics, criminology, zoology, and so on. With the help of scan statistic method, spatial clusters can be identified.In this article, we introduce the scan statistic method based on Poisson distribution. Using simulation, we investigate the efficiency of this method in identifying spatial clusters. Based on the results obtained from the simulation, the Poisson scan statistic method is a suitable method for detecting anomalies in the count spatial data. As an application of spatial clustering, we consider the population structure of the state of Georgia and identify areas where the elderly population is significantly high. These areas should be prioritized in the implementation of population reform programs.https://math-sci.ui.ac.ir/article_28374_17fe336e67676f73e7acf252fcfdeaf6.pdfspatial clusteringscan statisticmonte-carlo hypothesis testingpoisson distributionlikelihood ratio |
| spellingShingle | Ali Abolhassani Somayyeh Tari INVESTIGATING POPULATION BALANCE IN THE STATE OF GEORGIA USING SPATIAL CLUSTERING ریاضی و جامعه spatial clustering scan statistic monte-carlo hypothesis testing poisson distribution likelihood ratio |
| title | INVESTIGATING POPULATION BALANCE IN THE STATE OF GEORGIA
USING SPATIAL CLUSTERING |
| title_full | INVESTIGATING POPULATION BALANCE IN THE STATE OF GEORGIA
USING SPATIAL CLUSTERING |
| title_fullStr | INVESTIGATING POPULATION BALANCE IN THE STATE OF GEORGIA
USING SPATIAL CLUSTERING |
| title_full_unstemmed | INVESTIGATING POPULATION BALANCE IN THE STATE OF GEORGIA
USING SPATIAL CLUSTERING |
| title_short | INVESTIGATING POPULATION BALANCE IN THE STATE OF GEORGIA
USING SPATIAL CLUSTERING |
| title_sort | investigating population balance in the state of georgia using spatial clustering |
| topic | spatial clustering scan statistic monte-carlo hypothesis testing poisson distribution likelihood ratio |
| url | https://math-sci.ui.ac.ir/article_28374_17fe336e67676f73e7acf252fcfdeaf6.pdf |
| work_keys_str_mv | AT aliabolhassani investigatingpopulationbalanceinthestateofgeorgiausingspatialclustering AT somayyehtari investigatingpopulationbalanceinthestateofgeorgiausingspatialclustering |