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Google Map Research Paper

Apps ([2012]).Residential burglary in Guelph: Looking at the physical and social predictors of break and enters.Guelph: The University of Guelph.

The author examines the impact of physical and social features on burglary victimization. Assessments of private properties are conducted using Street View.

Caplan et al. ([2011]). Police-monitored CCTV cameras in Newark, NJ: A quasi-experimental test of crime deterrence.Journal of Experimental Criminology, 7(3), 255–274.

This study serves as an interesting example of how Google Maps can be inventively implemented in criminological research to reconsider existing research practices.

Eman et al. ([2013]). Crime mapping for the purpose of policing in Slovenia: Recent developments.Revija za kriminalistiko in kriminologijo/Ljubljana, 64(3), 287–308.

Part of this article discusses the Krimistat.si project. Although discontinued, the project illustrates how Google Maps could be used to make the results ofcriminological research more understandable and accessible to the general public.

Fujita ([2011]).Why are older cars stolen? Examining motive, availability, location, and security.Newark: Rutgers, The State University of New Jersey.

This is one of the first studies to examine the impact of variables measured using Street View on crime. This doctoral dissertation illustrates how Street View imagery can be used to measure environmental characteristics that exhibit a strong temporal variability such as number of cars parked on the street.

Kindynis ([2014]). Ripping up the map: Criminology and cartography reconsidered.British Journal of Criminology, 54(2), 222–243.

Kindynis ([2014]) provides an elaborate and critical discussion of criminology’s interest in mapping and cartography. Throughout the article, emergent digital mapping technologies and their impact on criminology are discussed. Several suggestions are provided as to how criminologists can harness the powers of these new technologies to come to new empirical insights and engage with the public.

Kronkvist ([2013]).Systematic social observation of physical disorder in inner-city urban neighborhoods through Google Street View: The correlation between virtually observed physical disorder, self-reported disorder and victimization of property crimes.Malmö: Malmö University.

This master thesis should not be overlooked by criminologists interested in replacing on-site audits with virtual audits should. It provides an in-depth discussion of the advantages and disadvantages of using Street View to collect information on the built environment in relation to environmental criminological research.

Odgers et al. ([2012]). Systematic social observation of children’s neighborhoods using Google Street View: A reliable and cost-effective method.Journal of Child Psychology and Psychiatry, 53(10), 1009–1017.

Similar to Kronkvist ([2013]), Odgers et al. ([2012]) examine the suitability of a virtual neighborhood audit to collect criminologically relevant characteristics of the built environment, such as physical disorder and decay.

Rundle et al. ([2011]). Using Google Street View to audit neighborhood environments.American Journal of Preventive Medicine, 40(1), 94–100.

Rundle et al. ([2011]) evaluate the feasibility of using Street View to audit the built environment. Their article is a good introduction to the literature on the matter and contains a comprehensive overview of the strengths and weaknesses related to using this method.

Summers et al. ([2010]). The use of maps in offender interviewing. In W. Bernasco (Ed.),Offenders on offending: Learning about crime from criminals(pp. 246–272). Cullompton: Willan Publishing.

Summers et al. ([2010]) focus on conventional maps rather than web-based mapping technologies. Nevertheless, this book chapter is a must-read since it provides essential background to the use of maps in general in criminological research.

Van Daele et al. ([2012]). Technische hulpmiddelen en doelwitselectie bij woninginbraak: Een experimenteel onderzoek naar de invloed van Google Maps en Google Street View.Tijdschrift voor Criminologie, 54(4), 362–373.

This study has been discussed in this article. It is, to the author’s knowledge, the only study to date that addresses substantive criminological questions related to the availability of Google Maps and Street View. Moreover, the authors implemented Google Maps and Street View in their research design. It is published in Dutch.

Earlier this year we announced that authors of Animal Behaviour can now use Google Maps functionality in their submissions. The Google Maps application enriches an article with research data that is visualized on an interactive map. This provides a way to highlight their findings in a visual and easily accessible manner, helping readers to quickly understand the relevance of a research paper and to visualize research data for deeper insights. These maps, which appear on SciVerse ScienceDirect, are based on KML (Keyhole Markup Language) files with geographic annotation created by the authors. This annotation could be a simple landmark pointer with a textual note, but also a visual overlay with actual research data.

Below is an example of a paper from Animal Behaviour that has taken advantage of this option:

Ontogenetic shift in the schooling behaviour of sardines, Sardina pilchardus

K. Tsagarakis, M.M. Pyrounaki, M. Giannoulaki, S. Somarakis, A. Machias

Volume 84, Issue 2, August 2012, Pages 437–443

About Google Maps and KML files

KML (Keyhole Markup Language) files (optional): You can enrich your online articles by providing KML files which will be visualized using Google maps. The KML files can be uploaded in our online submission system. KML is an XML schema for expressing geographic annotation and visualization within Internet-based Earth browsers. Elsevier will generate Google Maps from the submitted KML files and include these in the article when published online. Submitted KML files will also be available for downloading from your online article on ScienceDirect. For more information see http://www.elsevier.com/googlemaps.

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