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Investigating crime patterns in Egypt using crowdsourced data between 2011-2013
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Autores
Orientador(es)
Resumo(s)
Crime is a social phenomenon that negatively impinges upon the society on
various levels. Such phenomena are ought to be measured and analyzed to
achieve control over its presence and consequences. One of the ways for
measurement and analysis involves the use of crime maps as vital tools for
visualising crime related data. Getting access to crime data is undoubtedly a
challenged endeavour faced by hurdles of data collection, storage and making it
available for public access. In addition, coming up with useful relationships for
extracting information and patterns for crime data analysis is a significant
challenge as well. This research investigates the link between the spatial and
temporal variables in crime related data collected from crowdsourcing. The
research will capitalize on crime data gathered throughout the operation of an
online project called Zabatak founded by the author since January 2011 in Egypt.
The dataset consists of more than 2000 crime incidents from various geographical
areas across Egypt. The research considers an exploratory analysis in trying to
interpret crime patterns and trends. The results of this study have identified
various interesting trends and patterns in the dataset. One of the major findings
of this research points out a strong relationship between the spatial and temporal
variables in Car-Theft incidents. In addition, It was possible in the study to relate
crime types to the type of the geographical area. The research considers
Spatio-Temporal analysis using Inhomogeneous Spatio-Temporal K-function and
pair-correlation functions which have identified a Spatio-Temporal cluster and
interaction in crime data which can open new ways for crime maps data analysis.
Descrição
Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
Palavras-chave
Investigation Crime patterns Egypt