GI_Forum 2017, Volume 5, Issue 2 Journal for Geographic Information Science
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2017, Volume 5, Issue 2 Journal for Geographic Information Science
ISSN 2308-1708 Online Edition ISBN 978-3-7001-8251-1 Online Edition
Ciro José Jardim de Figueiredo,
Débora Viana de Sousa Pereira,
Caroline Maria de Miranda Mota
S. 164 - 172 doi:10.1553/giscience2017_02_s164 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2017_02_s164
Abstract: Crime prevention requires planning, the identification of critical places, and allocating resources correctly. In order to ensure crime reduction, the participation of security decision makers is necessary in evaluating criteria that influence crime prevention. The decision maker needs to analyse the best actions to control violence, as well as define where these actions should be allocated. This paper suggests a multi-criteria spatial model associated with remote sensing to identify those areas most vulnerable to homicide and consequently in greatest need of public-policy intervention. The model was applied in a Brazilian neighbourhood, taking into account social, economic and demographic factors, as well as satellite images. We conclude that the spatial analysis approach using multiple criteria is a viable option for mapping crime-vulnerable places, since the areas identified as vulnerable have a similar pattern to official maps showing homicide density. The proposed approach presents some methodological advantages: (1) integration of different approaches; (2) consideration of rasters, excluding the need for polygons; (3) consideration of remote sensing, excluding unnecessary areas from the analysis; (4) little effort is required on the part of the decision maker. Keywords: public security, multi-criteria analysis, remote sensing, raster, weighted overlay Published Online: 2017/12/13 12:17:51 Object Identifier: 0xc1aa5576 0x00373587 Rights:https://creativecommons.org/licenses/by-nd/4.0/
GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |