Modern Policing Using ArcGIS Pro

Modern Policing Using ArcGIS Pro

by Eric L. Piza, Jonas H. Baughman

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Overview

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.



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Product Details

ISBN-13: 9781589485976
Publisher: Esri Press
Publication date: 08/17/2021
Pages: 296
Sales rank: 687,952
Product dimensions: 8.00(w) x 10.00(h) x (d)

About the Author

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 KCPD’s 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 department’s crime-fighting efforts. Captain Baughman is currently assigned to the Fiscal Division within the Executive Services Bureau.

Table of Contents

Preface

Acknowledgments

Introduction

Chapter 1. Exploring ArcGIS Pro

Chapter 2. Geoprocessing and Selecting Data

Chapter 3. Creating and Editing Feature Layers

Chapter 4. Maximizing Attribute Tables

Chapter 5. Identifying Crime Hot Spots and Tracking Crime in Target Areas

Chapter 6. Incorporating Time in Spatial Analysis

Chapter 7. Using Spatial Statistics to Identify Spatial Relationships

Chapter 8. Automating Crime Analysis Processes

Chapter 9. Sharing Your Work

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