Visualization and spatial analysis of police open data as part of community policing in the city of Pardubice (Czech Republic)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44796650%3A_____%2F14%3AN0000001" target="_blank" >RIV/44796650:_____/14:N0000001 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.tandfonline.com/doi/full/10.1080/19475683.2016.1200670" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/19475683.2016.1200670</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/19475683.2016.1200670" target="_blank" >10.1080/19475683.2016.1200670</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Visualization and spatial analysis of police open data as part of community policing in the city of Pardubice (Czech Republic)

Popis výsledku v původním jazyce

Different types of spatial analyses and visualizations can be used in the police practice for investigation, crime prediction, and planning of police forces. The public availability of crime data is one of the often discussed issues for the police, general public and academia. The efforts to open police data are rooted in the philosophy of the so-called ‘community policing’. In this article, we demonstrate the possibilities of spatial analysis and cartographic visualization of open crime data. We provide two use cases based on the data gathered by the municipal police in Pardubice, Czech Republic. We investigate the impact of gambling sites on crime offence intensity and found that gambling sites considerably influence their surroundings within 100 m. The other use case is focused on traffic offences caused by cyclists. We extracted hot spots of these offences and tried to identify their causation, since the police should not only carry out repressive measures, but also strive to eliminate the causes (e.g. add cycle lanes, bike paths, underpasses or overpasses). Different types of cartographic visualization have been designed and discussed for both use cases. The advantages, limitations and future development of the described concepts are commented on in the conclusion. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

Název v anglickém jazyce

Visualization and spatial analysis of police open data as part of community policing in the city of Pardubice (Czech Republic)

Popis výsledku anglicky

Different types of spatial analyses and visualizations can be used in the police practice for investigation, crime prediction, and planning of police forces. The public availability of crime data is one of the often discussed issues for the police, general public and academia. The efforts to open police data are rooted in the philosophy of the so-called ‘community policing’. In this article, we demonstrate the possibilities of spatial analysis and cartographic visualization of open crime data. We provide two use cases based on the data gathered by the municipal police in Pardubice, Czech Republic. We investigate the impact of gambling sites on crime offence intensity and found that gambling sites considerably influence their surroundings within 100 m. The other use case is focused on traffic offences caused by cyclists. We extracted hot spots of these offences and tried to identify their causation, since the police should not only carry out repressive measures, but also strive to eliminate the causes (e.g. add cycle lanes, bike paths, underpasses or overpasses). Different types of cartographic visualization have been designed and discussed for both use cases. The advantages, limitations and future development of the described concepts are commented on in the conclusion. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

<a href="/cs/project/VF20142015034" target="_blank" >VF20142015034: Geoinformatika jako nástroj pro podporu integrované činnosti bezpečnostních a záchranných složek státu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Annals of GIS (Taylor and Francis),

ISSN

19475683

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

14

Strana od-do

187-201

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84976538909