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First published: July 1, 2024 - Last updated: July 1, 2024
TITLE INFORMATION
Authors: Maria Mathews, Binu V.S., and Vasudeva Guddattu
Title: Detecting spatial and spatio‑temporal clusters of rape in India, 2011–2020
Subtitle: -
Journal: GeoJournal: Spatially Integrated Social Sciences and Humanities
Volume: 89
Issue: Article Number: 115
Year: 2024 (Accepted: May 17, 2024, Published online: May 28, 2024)
Pages: 18 pages (PDF)
pISSN: 0343-2521 -
Find a Library: WorldCat |
eISSN: 1572-9893 -
Find a Library: WorldCat
Language: English
Keywords:
Modern History:
21st Century |
Asian History:
Indian History |
Types:
Rape
FULL TEXT
Link:
Springer Link (Free Access)
ADDITIONAL INFORMATION
Authors:
-
Maria Mathews:
ORCID
-
Binu V.S.:
ORCID,
ResearchGate
-
Vasudeva Guddattu,
Prasanna School of Public Health,
Manipal Academy of Higher Education
Abstract:
»The study aims to identify the spatial and spatio-temporal patterns of rape in India from 2011 to 2020 using crime data aggregated at the district level. The study also tries to understand persistent patterns in the spatial variation of rape incidence across the country during the study period. The annual rape data from 2011 to 2020 were extracted from the National Crime Records Bureau. Retrospective spatial and temporal cluster analyses were performed using the purely spatial (Kulldorf’s and Mann–Whitney scan statistic) and space–time scan statistic (Kulldorf’s based on the discrete Poisson model). Cluster frequency analysis was performed. Results showed the spatial heterogeneity in the pattern of rape crime across the country as well as its localization among geographically contiguous regions across time and space. The detected primary spatial clusters (P<0.05) persisted mainly in the Central, North, and North Eastern zones of the country over the ten year study period. The primary spatio-temporal cluster (LLR=5560.09, P<0.001) appeared between the time frame 2014 to 2016 and was concentrated mainly in the Northern zone. Thirty-seven districts of India (5.78%) contributed to spatial clusters in all years of the study period. The heterogeneous distribution of rape across India could be due to the spatiotemporal variations in the determinants of rape (such as socioeconomic status, demographics, urbanisation, and gender equality) across the country. Identifcation of the localized rape clusters could result in understanding the contextual factors of rape and, thereby be benefcial to national and regional rape control strategies.«
(Source: GeoJournal)
Contents:
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Abstract (p. 1) |
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Background (p. 1) |
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Data and methodology (p. 3) |
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Study area (p. 3) |
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Sources of data (p. 4) |
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Data analysis (p. 5) |
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Zonal classifcation of states and union territories (p. 5) |
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Crime rate and trends (p. 5) |
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Spatial and spatio‑temporal clusters (p. 5) |
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Cluster frequency (p. 6) |
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Results (p. 6) |
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Trends in the rate of rape crime (p. 6) |
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Spatial clusters of rape from 2011 to 2020 (p. 6) |
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Kulldorf’s spatial scan statistic (p. 6) |
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MW spatial scan statistic (p. 6) |
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Spatial pattern of rape clusters (p. 10) |
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Spatio-temporal clusters of rape (p. 10) |
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Discussion (p. 11) |
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Limitations (p. 14) |
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Conclusions (p. 15) |
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Author contribution (p. 15) |
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Funding (p. 15) |
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Declarations (p. 15) |
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Ethical approval (p. 15) |
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References (p. 15) |
Wikipedia:
History of Asia:
History of India /
History of India (1947–present) |
Sex and the law:
Rape /
Rape in India
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