Predicting suicide attacks : integrating spatial, temporal, and social features of terrorist attack targets / / Walter L. Perry ... [et al.]

• Autore: Perry Walt L
• Pubblicazione: Santa Monica, Calif, : RAND, [2013]; Santa Monica, CA : , : RAND Corporation, , 2013
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (95 pages)
• Disciplina: 363.325/12
• Soggetto topico: Suicide bombings - Israel; Terrorism - Israel; Terrorists - Suicidal behavior - Israel
• Persona (resp. second.): PerryWalt L.
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 83-85).
• Nota di contenuto: Cover -- Title Page -- Copyright -- Preface -- Contents -- Figures -- Tables -- Summary -- Acknowledgments -- Abbreviations -- CHAPTER ONE: Introduction and Overview -- Background -- About This Report -- CHAPTER TWO: Quantitative Data and Methods -- Quantitative Data -- Socioeconomic Characteristics -- Demographic Characteristics -- Electoral Data -- Proximity to Terrorist Safe Houses -- Sociocultural Precipitants -- Principal Component Analysis and Logistic Regression -- Logistic Regression -- Dimension Reduction -- Classification and Regression Trees -- Sociocultural Precipitants Analysis -- Results of Quantitative Data Analysis -- Principal Components Analysis -- Logistic Regression Models -- Classification and Regression Trees -- Sociocultural Precipitants -- Summing Up -- CHAPTER THREE: Qualitative Analysis -- Methodology -- Hypotheses Driving the Use of the Methodology -- Assumptions in Using the Methodology -- Restrictions -- Timing -- Results of Qualitative Data Analysis -- Identification of Codes -- Distribution of Codes -- Retargeting of Previously Attacked Locations -- Dispersion of Attacks over Time -- Assessment of Transportation Targets -- Comparison of Codes to a Subject-Matter Expert Hypothesis -- CHAPTER FOUR: Conclusions and Recommendations -- Conclusions from Quantitative Data Analysis -- Conclusions from Qualitative Data Analysis -- Recommendations for Further Research -- Regression Analyses and Classification -- Sociocultural Precipitants -- Transferability -- APPENDIXES -- A. Sociocultural Precipitant Database -- B. Logistic Regression Output -- About the Authors -- Bibliography.
• Sommario/riassunto: As part of an exploration of ways to predict what determines the targets of suicide attacks, RAND conducted a proof-of-principle analysis of whether adding sociocultural, political, economic, and demographic factors would enhance the predictive ability of a methodology that focused on geospatial features. This test case focused on terrorist bombing incidents in Israel, but the findings indicate that the methodology merits further exploration.
• Titolo autorizzato: Predicting suicide attacks
• ISBN: 9780833078032; 0833078038; 9780833078001
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910993983503321
• Lo trovi qui: Univ. Federico II
• Serie: Rand Corporation monograph series.