Analyzing and quantifying security data through a geospatial visualization framework: empirical research regarding social and economic indicators in Portugal

Research output: ThesisMaster's Thesis

Abstract

This report has been built as a thesis proposal based on the work previously developed and submitted to the 18th Conferência da Associação Portuguesa de Sistemas de Informação (CAPSI 2018) and later published in the books “Modelos Preditivos & Segurança Pública”, by Teresa Rodrigues and Marco Painho and “Information Systems for Industry 4.0”, by Isabel Ramos, Rui Quaresma, Paulo Silva and Tiago Oliveira. The original work was conceived in the scope of the SIM4SECURITY project; it proposed a set of techniques and predictive models for analyzing security by using geospatial data and quantifiable indicators. The current work not only aims to report on the Business Intelligence tools and techniques developed in the aforementioned project, but also, it should take us one step further on establishing a common framework for structuring, quantifying and visualizing data, with the purpose of analyzing social and economic indicators and their impact on crime rates in Portugal. The framework developed herein could constitute as a strong decision support tool by helping security forces on optimizing resources allocation, tailoring more efficient security policies and finding patterns, challenges and threats in the social landscape for the next years to come.
Original languageEnglish
QualificationMaster of Science
Awarding Institution
  • NOVA Information Management School (NOVA IMS)
Supervisors/Advisors
  • Neto, Miguel de Castro, Supervisor
Award date23 Jul 2019
Publication statusPublished - 23 Jul 2019

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