Crime Analysis. – Valcri https://valcri.org VALCRI is a European Union project Tue, 01 Dec 2015 18:58:32 +0000 en-US hourly 1 https://wordpress.org/?v=5.2.2 VAPD – A Visionary System for Uncertainty Aware Decision Making in Crime Analysis https://euprojectvalcri.org/publications/vapd-a-visionary-system-for-uncertainty-aware-decision-making-in-crime-analysis/ Fri, 30 Oct 2015 16:55:00 +0000 https://valcri.demo.steellondon.com/?p=1203 ...]]> F. Stoffel, D. Sacha, G. Ellis, and D. A. Keim, “VAPD – A Visionary System for Uncertainty Aware Decision Making in Crime Analysis,” in Symposium on Visualization for Decision Making Under Uncertainty at IEEE VIS 2015, 2015.

Abstract:
In this paper we describe a visionary system, VAPD, which supports crime analysts in uncertainty aware decision making in use of comparative case analysis. In this scenario, it is crucial for crime analysts to get an accurate estimate of uncertainties included in their data as well as those caused through data transformations and mappings, thus supporting analysts in calibrating their trust in the pieces of evidence gained through data analytics. VAPD consists of one data processing and three visualisation components that adopt a set of guidelines for handling uncertainties. The system focuses on conveying an accurate estimate of these uncertainties on processes and uncertainties that occur within its natural language processing components. Text data analysis is ambiguous and error prone, but is nevertheless an important part of the data analysis. Through its innovative handling of uncertainties, VAPD enables
transparent and reliable decisions based on uncertainty-aware visual analytics.

keywords —Uncertainty, Provenance, Trust-Building, Crime Analysis.

]]> Supporting crime analysis through visual design https://euprojectvalcri.org/publications/supporting-crime-analysis-through-visual-design/ Fri, 30 Oct 2015 16:47:36 +0000 https://valcri.demo.steellondon.com/?p=1191 ...]]> R. Beecham, J. Dykes, A. Slingsby, and C. Turkay, “Supporting crime analysis through visual design,” presented at the VIS 2015, Chicago, USA, 2015.

Abstract:

We describe and discuss a visual analysis prototype to support volume crime analysis, a form of exploratory data analysis that aims to identify and describe patterns of criminality using historical and recent crime reports. Analysis requirements are relatively familiar: analysts wish to identify, define and compare sets of crime reports across multiple attributes (space, time and description). A challenge particular to the domain, identified through workshops with Police analysts in Belgium and the UK, is in developing exploratory data analysis software that offers some sophistication in data selection, aggregation and comparison, but with interaction techniques and representations that can be easily understood, navigated and communicated. In light of ongoing discussion with Police analysts, we propose four visual design and interaction maxims that relate to this challenge and discuss an early visual analysis prototype that we hope conforms to these maxims.

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