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E-grāmata: Modern Policing Using ArcGIS Pro

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  • Formāts: EPUB+DRM
  • Izdošanas datums: 29-Jun-2021
  • Izdevniecība: Environmental Systems Research Institute Inc.,U.S.
  • Valoda: eng
  • ISBN-13: 9781589485983
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Modern Policing Using ArcGIS ProPalielināt
  • Formāts: EPUB+DRM
  • Izdošanas datums: 29-Jun-2021
  • Izdevniecība: Environmental Systems Research Institute Inc.,U.S.
  • Valoda: eng
  • ISBN-13: 9781589485983
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An essential tool for crime analysts looking to enhance the quality and efficiency of their crime mapping using ArcGIS Pro.

Modern Policing Using ArcGIS Pro is an easy-to-use hands-on guide for crime analysts of any skill level. Crime mapping and spatial analysis play a key role in a variety of day-to-day police functions, and with ArcGIS Pro, crime analysts can enhance the efficiency of their workflow and the quality of their crime-mapping products. Designed to be immediately useful and practical for all users, Modern Policing’s scaffolded approach allows users to incrementally develop their skills.

Real-world case studies from crime analysts and applied research projects demonstrate the spatial analysis techniques necessary to support evidence-based policing. The findings of these case studies are discussed via research and crime analysis highlights, with self-guided exercises that walk the user through the steps of performing the analysis.

Key topics include:

  • Geoprocessing and filtering data
  • Identifying hot spots
  • Using spatial statistics for predictive analysis
  • Automating tasks

Using ArcGIS Pro for problem analysis, crime analysts can create crime prevention strategies, measure program outputs to gauge program implementation, and conduct evaluations to determine whether crime control strategies are having the desired impact. Covering strategic analysis, predictive analysis, workflow automation and more, Modern Policing Using ArcGIS Pro is essential for crime analysts looking to bring value to their agencies’ operations through crime and data analysis.



Modern Policing Using ArcGIS Pro is a quintessential tool for crime analysts looking to enhance the quality and efficiency of their crime mapping using ArcGIS Pro.

Preface vii
Acknowledgments ix
Introduction xi
Crime analysis in modern policing xi
Crime and place: The bridge between research and practice xii
Plan for this book xiv
Chapter 1 Exploring Arcgis Pro
1(32)
Overview
1(15)
Exercise 1a Connect to ArcGIS Online and data portals
1(5)
Exercise 1b Explore the ribbon and project panes
6(5)
Exercise 1c Use ArcGIS Pro navigation tools
11(5)
Exercise 1d Symbolize features (part 1)
16(8)
Exercise 1e Symbolize features (part 2)
24(3)
Exercise 1f Link map views
27(5)
Summary
32(1)
Chapter 2 Geoprocessing And Selecting Data
33(24)
Overview
33(1)
Exercise 2a Use the Buffer tool
34(6)
Exercise 2b Use the Clip (Analysis) tool
40(2)
Exercise 2c Use the Merge tool
42(2)
Exercise 2d Select features by location
44(3)
Exercise 2e Select features by attribute
47(5)
Exercise 2f Select features by day and time
52(3)
Summary
55(2)
Chapter 3 Creating And Editing Feature Layers
57(38)
Overview
57(1)
Exercise 3a Map data with x,y coordinates
58(4)
Exercise 3b Create address locators and geocode address data
62(8)
Exercise 3c Edit line and point features
70(11)
Exercise 3d Create polygon features
81(4)
Exercise 3e Edit polygon features (part 1)
85(4)
Exercise 3f Edit polygon features (part 2)
89(4)
Summary
93(2)
Chapter 4 Maximizing Attribute Tables
95(22)
Overview
95(1)
Exercise 4a Enhance feature attributes
96(3)
Exercise 4b Use spatial joins to summarize numeric attributes
99(4)
Exercise 4c Perform table joins
103(7)
Exercise 4d Create and calculate fields
110(6)
Summary
116(1)
Chapter 5 Identifying Crime Hot Spots And Tracking Crime In Target Areas
117(30)
Overview
117(1)
Exercise 5a Create crime density maps and measure density change
118(7)
Exercise 5b Perform 80-20 analysis
125(2)
Exercise 5c Create optimized hot spots
127(7)
Exercise 5d Create street intersection points and Thiessen polygons
134(6)
Exercise 5e Count incidents and measure percentage changes
140(5)
Summary
145(2)
Chapter 6 Incorporating Time In Spatial Analysis
147(20)
Overview
147(1)
Exercise 6a Create space-time cubes and identify emerging hot spots
148(5)
Exercise 6b Map incident sequences
153(4)
Exercise 6c Create incident paths
157(4)
Exercise 6d Use the time slider to create time animations
161(4)
Summary
165(2)
Chapter 7 Using Spatial Statistics To Identify Spatial Relationships
167(42)
Overview
167(1)
Exercise 7a Measure colocation of points
168(7)
Exercise 7b Analyze patterns with density-based clustering
175(13)
Exercise 7c Measure multivariate clustering
188(9)
Exercise 7d Perform generalized linear regression analysis
197(3)
Exercise 7e Perform geographically weighted regression
200(7)
Summary
207(2)
Chapter 8 Automating Crime Analysis Processes
209(40)
Overview
209(1)
Exercise 8a Create task items and processes
210(8)
Exercise 8b Explore ModelBuilder
218(2)
Exercise 8c Create a model to map incidents by x,y coordinates and append attributes from polygons
220(12)
Exercise 8d Edit a model to select incidents by location
232(7)
Exercise 8e Create a model to create and calculate attribute fields
239(9)
Summary
248(1)
Chapter 9 Sharing Your Work
249(26)
Overview
249(1)
Exercise 9a Create layer packages
250(5)
Exercise 9b Create and export charts
255(5)
Exercise 9c Use the layout view to create and export maps
260(8)
Exercise 9d Export a web map
268(5)
Summary
273(2)
References 275
Eric L. Piza is Associate Professor at John Jay College of Criminal Justice, City University of New York. His previous professional positions include GIS Specialist of the Newark, NJ Police Department, Research Director for Crime Analytics of the Rutgers Center on Public Security, and Research Program Coordinator of the Rutgers Police Institute. Dr. Piza is currently involved in a number of applied research projects in partnership with public safety agencies across the United States, focusing on the spatial analysis of crime patterns, crime control technology, and the integration of academic research and police practice. His scholarship has been published in more than 50 peer-reviewed journal articles and has been funded by awards from the National Institute of Justice, Bureau of Justice Assistance, Swedish National Council on Crime Prevention, and Charles Koch Foundation. He received his PhD from Rutgers University, School of Criminal Justice.

Captain Jonas Baughman is a 17-year veteran of the Kansas City, Missouri Police Department (KCPD). A native of the Kansas City area, Captain Baughman has held assignments in patrol, investigations, crime/intelligence analysis, and administration during his tenure. Captain Baughman quickly found crime analysis to be his professional passion and more than 10 of his 17 years with the KCPD have been in positions related to crime or intelligence analysis. He has served as a sworn crime analyst; helped create the KCPDs Real-time Crime Center; directed a squad of gang intelligence Detectives; and worked within the Office of the Chief of Police where he provided strategic analysis and other performance metrics to executive command staff to assist the departments crime-fighting efforts. Captain Baughman is currently assigned to the Fiscal Division within the Executive Services Bureau.
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