Actionable Cultural Understanding for Support to Tactical Operations (ACUSTO): Toward a New Methodological Template for Spatial Decision Support System

Abstract

This report approaches the development of actionable intelligence for counterinsurgency by drawing parallels with the study of criminal events such as homicides, vehicle thefts, and gang violence, and by exploiting the methodological approaches that emphasize spatially explicit information. This spatial analysis of crime builds on the well-established methods of spatial data analysis and spatial statistics, and applies these in the context of criminal events that happen at specific locations. The theoretical background for these methods is drawn from environmental criminology. Methods are categorized into three main groups: exploratory spatial data analysis, explanatory spatial modeling, and surveillance/forecasting techniques. The basic principles are outlined and examples provided that illustrate the application specific techniques in crime analysis. An initial methodological template is formulated that stresses the constraints imposed by the quality and quantity of spatially specific information available in a counterinsurgency context.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2009
Accession Number
ADA522096

Entities

People

  • Luc Anselin
  • Lucy A. Whalley
  • Martin J. Savoie
  • William D. Meyer

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Computational Science
  • Crime
  • Criminology
  • Data Analysis
  • Data Integration
  • Data Mining
  • Data Science
  • Databases
  • Decision Support Systems
  • Geographic Information Systems
  • Geography
  • Information Science
  • Information Systems
  • Knowledge Management
  • Network Science
  • Social Sciences
  • Statistical Analysis

Readers

  • Political Violence and Terrorism Studies.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.