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007			cr |||||||||||
008			260601s2013 cau ob 000 0 eng
020			_a9780833081483 _q(pbk. ; _calk. paper)
020			_a9780833081551 _q(electronic bk.)
020			_a0833081551 _q(electronic bk.)
020			_z9780833081537
041			_aeng
042			_apcc
043			_an-us---
050	1	4	_aHV7432 _b.P47 2013
082	0	0	_223 _a363.23028563
100	1		_aPerry, Walt L.
245	1	0	_aPredictive policing : _bthe role of crime forecasting in law enforcement operations / _cWalter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood.
264		1	_aSanta Monica, CA : _bRAND, _c[2013]
300			_a1 online resource (xxix, 155 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references.
505	0		_aIntroduction -- Making predictions about potential crimes -- Using predictions to support police operations -- Using predictions to support investigations of potential offenders -- Findings for practitioners, developers, and policymakers.
505	0		_aCover; Title Page; Copyright; Preface; Contents; Figures; Tables; Summary; Acknowledgments; Abbreviations; CHAPTER ONE: Introduction; What Is Predictive Policing?; A Criminological Justification for Predictive Policing: Why Crime Is "Predictable"; A Brief History of Predictive Policing; Background; Training; Study Objectives and Methods; Objectives; Approach; The Nature of Predictive Policing: This Is Not Minority Report; A Taxonomy of Predictive Methods; Prediction-Led Policing Processes and Practices; Data Collection; Analysis; Police Operations; Criminal Response; About This Report.
505	8		_aCHAPTER TWO: Making Predictions About Potential CrimesNotes on Software; Hot Spot Analysis and Crime Mapping; Grid Mapping; Covering Ellipses; Single and Dual Kernel Density Estimation; Heuristic Methods; Regression Methods; Types of Relationships; Selecting Input Variables; Leading Indicators in Regression (and Other) Models; A Regression Example; Data Mining (Predictive Analytics); Clustering; Classification; Training and Testing a Model; Near-Repeat Methods; Spatiotemporal Analysis; Basics of Spatiotemporal Analysis; Heat Maps; Spatiotemporal Modeling Using the Generalized Additive Model.
505	8		_aSeasonalityRisk Terrain Analysis; A Heuristic Approach: Risk Terrain Modeling; A Statistical Approach to Risk Terrain Analysis; Discussion of Risk Terrain Analysis Approaches; Prediction Methods; CHAPTER THREE: Using Predictions to Support Police Operations; Evidence-Based Policing; Taking Action on Hot Spots in Washington, D.C.; Koper Curve Application in Sacramento; Investigating Convenience Store Robberies in Chula Vista, California; Predictive Policing in Context: Case Studies; Shreveport, Louisiana: Predictive Intelligence-Led Operational Targeting.
505	8		_aMemphis, Tennessee: Crime Reduction Utilizing Statistical HistoryNashville, Tennessee: Integrating Crime and Traffic Crash Data; Baltimore, Maryland: Crash-Crime Project; Iraq: Locating IED Emplacement Locations; Minneapolis, Minnesota: Micro Crime Hot Spots; Charlotte-Mecklenburg County, North Carolina: Foreclosures and Crime; Crime Maps: Community Relations; Police Actions; CHAPTER FOUR: Using Predictions to Support Investigations of Potential Offenders; Protecting Privacy Rights and Civil Liberties; Predictive Policing Symposium Assessment.
505	8		_aPrivacy Under the Fourth Amendment of the U.S. ConstitutionPrivacy with Respect to Policing Intelligence Information Systems; Privacy Resources for the Law Enforcement Community; Dealing with Noisy and Conflicting Data: Data Fusion; Heuristic and Simple-Model Methods; More Sophisticated Fusion Methods; Risk Assessment for Individual Criminal Behavior; Commonly Used Behavioral Instruments; Limitations of Behavioral Instruments; Quebec, Canada: Assessing Criminogenic Risks of Gang Members; Pittsburgh, Pennsylvania: Predicting Violence and Homicide Among Young Men.
520			_aPredictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way.
588	0		_aPrint version record and CIP data provided by publisher; resource not viewed.
650		0	_aCrime forecasting _zUnited States.
650		0	_aCrime prevention _zUnited States.
650		0	_aCriminal behavior, Prediction of _zUnited States.
650		0	_aPolice _zUnited States. _0http://id.loc.gov/authorities/subjects/sh85104208
655		4	_aElectronic books.
856	4	0	_uhttps://directory.doabooks.org/handle/20.500.12854/115135 _yFull text is available at the Directory of Open Access Books. Click here to view.
903			_aHeVa
942			_2ddc _cOA