| 000 -LEADER |
| fixed length control field |
05243cam a2200481 i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20260601155551.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
| fixed length control field |
cr ||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
260601s2013 cau ob 000 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9780833081483 |
| Qualifying information |
(pbk. ; |
| Terms of availability |
alk. paper) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9780833081551 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
0833081551 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| Cancelled/invalid ISBN |
9780833081537 |
| 041 ## - LANGUAGE CODE |
| Language code of text/sound track or separate title |
eng |
| 042 ## - AUTHENTICATION CODE |
| Authentication code |
pcc |
| 043 ## - GEOGRAPHIC AREA CODE |
| Geographic area code |
n-us--- |
| 050 14 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
HV7432 |
| Item number |
.P47 2013 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Edition number |
23 |
| Classification number |
363.23028563 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Preferred name for the person |
Perry, Walt L. |
| 245 10 - TITLE STATEMENT |
| Title |
Predictive policing : |
| Remainder of title |
the role of crime forecasting in law enforcement operations / |
| Statement of responsibility, etc |
Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Santa Monica, CA : |
| Name of publisher, distributor, etc |
RAND, |
| Date of publication, distribution, etc |
[2013] |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
1 online resource (xxix, 155 pages) |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references. |
| 505 0# - CONTENTS |
| Formatted contents note |
Introduction -- 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# - CONTENTS |
| Formatted contents note |
Cover; 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# - CONTENTS |
| Formatted contents note |
CHAPTER 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# - CONTENTS |
| Formatted contents note |
SeasonalityRisk 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# - CONTENTS |
| Formatted contents note |
Memphis, 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# - CONTENTS |
| Formatted contents note |
Privacy 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 ## - SUMMARY, ETC. |
| Summary, etc |
Predictive 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# - SOURCE OF DESCRIPTION NOTE |
| Source of description note |
Print version record and CIP data provided by publisher; resource not viewed. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Crime forecasting |
| Geographic subdivision |
United States. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Crime prevention |
| Geographic subdivision |
United States. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Criminal behavior, Prediction of |
| Geographic subdivision |
United States. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Police |
| Geographic subdivision |
United States. |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh85104208 |
| 655 #4 - INDEX TERM--GENRE/FORM |
| Genre/form data or focus term |
Electronic books. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
| Uniform Resource Identifier |
https://directory.doabooks.org/handle/20.500.12854/115135 |
| Link text |
Full text is available at the Directory of Open Access Books. Click here to view. |
| 903 ## - LOCAL DATA ELEMENT C, LDC (RLIN) |
| a |
HeVa |
| 942 ## - ADDED ENTRY ELEMENTS |
| Source of classification or shelving scheme |
|
| Item type |
EBOOK/OPEN ACCESS |