Three Decades of GIS Application in Spatial Crime Analysis: Present Global Status and Emerging Trends.
Crime exploration using geographic information systems (GIS) has been a topic of interest for decades, but a comprehensive appraisal has yet to be published in the domain. This is the first article to thoroughly explain crime exploration using GIS from a global perspective, analyze its large informa...
| Publicado en: | Professional Geographer Vol. 75; no. 6; pp. 882 - 905 |
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| Autores principales: | , |
| Formato: | Artículo |
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Taylor & Francis Ltd
2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=174204481&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 174204481 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00330124 PGG jtl: Professional Geographer issn: 00330124 maglogo: Y pubinfo: dt: 2023 vid: 75 iid: 6 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 174204481 10.1080/00330124.2023.2223250 ppf: 882 ppct: 23 formats: tig: atl: Three Decades of GIS Application in Spatial Crime Analysis: Present Global Status and Emerging Trends. aug: au: Roy, Subham Chowdhury, Indrajit Roy affil: University of North Bengal, India su: Crime analysis Crime forecasting Geographic information systems Bibliometrics Software measurement Databases Software development tools sug: subj: Crime analysis Crime forecasting Custom Computer Programming Services Computer systems design and related services (except video game design and development) Geographic information systems Bibliometrics Software measurement Databases Software development tools keyword: bibliometric analysis crime analysis crime geography crime prediction machine learning análisis bibliométrico análisis de la criminalidad aprendizaje automático geografía del crimen predicción de la criminalidad 文献计量分析 机器学习。 犯罪分析 犯罪地理学 犯罪预测 bibliometric analysis crime analysis crime geography crime prediction machine learning análisis bibliométrico análisis de la criminalidad aprendizaje automático geografía del crimen predicción de la criminalidad 文献计量分析 机器学习。 犯罪分析 犯罪地理学 犯罪预测 ab: Crime exploration using geographic information systems (GIS) has been a topic of interest for decades, but a comprehensive appraisal has yet to be published in the domain. This is the first article to thoroughly explain crime exploration using GIS from a global perspective, analyze its large information base, and assess its evolving dynamics. Bibliometric analysis was carried out using the Bibliometric R-tool and VOSviewer, which are both software tools that provide a systematic overview, assisting scholars in acquiring insights into this domain. For this assessment, 755 academic documents published between 1989 and 2022 were retrieved from the SCOPUS metadata. The database has been examined and mapped using various criteria, including yearly publication outputs, production and influence assessment, citations, networks, and keyword analysis. The search revealed numerous intriguing details like the most significant documents, most relevant authors, most notable countries, prominent institutions and their areas of research interest, journals publishing in the domain, and emerging research trends. The use of cluster analysis further delineates three major research areas: the relevance of geospatial technology in spatial crime analysis, crime mapping and visualization, and crime prediction using advanced machine learning techniques. Finally, this bibliometric investigation also reveals that crime forecasting is an emerging trend. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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