Analysis and description of crimes in Mexico city using point pattern analysis within networks
ABSTRACTThe present research work is conducted to analyse spatial distribution and possible spatial association between three types of crimes from January 2018 to December 2019 in the metropolitan area of Mexico City. In this study, we consider treating the data as a realization of spatial point pro...
| Egile Nagusiak: | , , , |
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| Formatua: | Artikulua |
| Hizkuntza: | English |
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Taylor & Francis Group
2023-04-01
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| Saila: | Annals of GIS |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.tandfonline.com/doi/10.1080/19475683.2023.2166108 |
| _version_ | 1827794156175491072 |
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| author | Iulian Teodor Vlad Carlos Diaz Pablo Juan Somnath Chaudhuri |
| author_facet | Iulian Teodor Vlad Carlos Diaz Pablo Juan Somnath Chaudhuri |
| author_sort | Iulian Teodor Vlad |
| collection | DOAJ |
| description | ABSTRACTThe present research work is conducted to analyse spatial distribution and possible spatial association between three types of crimes from January 2018 to December 2019 in the metropolitan area of Mexico City. In this study, we consider treating the data as a realization of spatial point processes precisely on street network and propose an equal split continuous kernel estimator to identify particular street segments with higher crime rates than neighbouring segments. The results identify the location of high-risk areas for different kind of crimes and permit to detect individual street where crime rate is higher than the average rate. Additionally, our analysis reveals the existence of clusters with high crime incidence running eastwest across the central part of the urban study area. In that context, the current study suggests a comprehensive overview of road safety metrices for public security system and has important implications for strategic law enforcement. The methodology can be adapted and applied to other urban locations globally. |
| first_indexed | 2024-03-11T18:29:46Z |
| format | Article |
| id | doaj.art-2be4eeeadf214b51a422d4b8346db332 |
| institution | Directory Open Access Journal |
| issn | 1947-5683 1947-5691 |
| language | English |
| last_indexed | 2024-03-11T18:29:46Z |
| publishDate | 2023-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Annals of GIS |
| spelling | doaj.art-2be4eeeadf214b51a422d4b8346db3322023-10-13T12:41:26ZengTaylor & Francis GroupAnnals of GIS1947-56831947-56912023-04-0129224325910.1080/19475683.2023.2166108Analysis and description of crimes in Mexico city using point pattern analysis within networksIulian Teodor Vlad0Carlos Diaz1Pablo Juan2Somnath Chaudhuri3Department of Automatic Control, Computers and Electronics, University Petroleum-Gas of Ploiesti, Ploiești, RomaniaDepartment of Statistics, National Autonomous University of Mexico, Mexico City, MexicoDepartment of Mathematics, University Jaume I of Castellón, SpainResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, SpainABSTRACTThe present research work is conducted to analyse spatial distribution and possible spatial association between three types of crimes from January 2018 to December 2019 in the metropolitan area of Mexico City. In this study, we consider treating the data as a realization of spatial point processes precisely on street network and propose an equal split continuous kernel estimator to identify particular street segments with higher crime rates than neighbouring segments. The results identify the location of high-risk areas for different kind of crimes and permit to detect individual street where crime rate is higher than the average rate. Additionally, our analysis reveals the existence of clusters with high crime incidence running eastwest across the central part of the urban study area. In that context, the current study suggests a comprehensive overview of road safety metrices for public security system and has important implications for strategic law enforcement. The methodology can be adapted and applied to other urban locations globally.https://www.tandfonline.com/doi/10.1080/19475683.2023.2166108Crime distributionMexico cityspatial point processesstreet networks |
| spellingShingle | Iulian Teodor Vlad Carlos Diaz Pablo Juan Somnath Chaudhuri Analysis and description of crimes in Mexico city using point pattern analysis within networks Annals of GIS Crime distribution Mexico city spatial point processes street networks |
| title | Analysis and description of crimes in Mexico city using point pattern analysis within networks |
| title_full | Analysis and description of crimes in Mexico city using point pattern analysis within networks |
| title_fullStr | Analysis and description of crimes in Mexico city using point pattern analysis within networks |
| title_full_unstemmed | Analysis and description of crimes in Mexico city using point pattern analysis within networks |
| title_short | Analysis and description of crimes in Mexico city using point pattern analysis within networks |
| title_sort | analysis and description of crimes in mexico city using point pattern analysis within networks |
| topic | Crime distribution Mexico city spatial point processes street networks |
| url | https://www.tandfonline.com/doi/10.1080/19475683.2023.2166108 |
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