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Auteur Martin A. Andresen |
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The impact of using social media data in crime rate calculations: shifting hot spots and changing spatial patterns / Nick Malleson in Cartography and Geographic Information Science, Vol 42 n° 2 (April 2015)
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Titre : The impact of using social media data in crime rate calculations: shifting hot spots and changing spatial patterns Type de document : Article/Communication Auteurs : Nick Malleson, Auteur ; Martin A. Andresen, Auteur Année de publication : 2015 Article en page(s) : pp 112 - 121 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] infraction
[Termes IGN] production participative
[Termes IGN] réseau social
[Termes IGN] Yorkshire (Angleterre)Résumé : (auteur) Crime rate is a statistic used to summarize the risk of criminal events. However, research has shown that choosing the appropriate denominator is non-trivial. Different crime types exhibit different spatial opportunities and so does the population at risk. The residential population is the most commonly used population at risk, but is unlikely to be suitable for crimes that involve mobile populations. In this article, we use “crowd-sourced” data in Leeds, England, to measure the population at risk, considering violent crime. These new data sources have the potential to represent mobile populations at higher spatial and temporal resolutions than other available data. Through the use of two local spatial statistics (Getis-Ord GI* and the Geographical Analysis Machine) and visualization, we show that when the volume of social media messages, as opposed to the residential population, is used as a proxy for the population at risk, criminal event hot spots shift spatially. Specifically, the results indicate a significant shift in the city center, eliminating its hot spot. Consequently, if crime reduction/prevention efforts are based on resident population based crime rates, such efforts may not only be ineffective in reducing criminal event risk, but be a waste of public resources. Numéro de notice : A2015-237 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2014.905756 En ligne : https://doi.org/10.1080/15230406.2014.905756 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76494
in Cartography and Geographic Information Science > Vol 42 n° 2 (April 2015) . - pp 112 - 121[article]Exemplaires(1)
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