Foundations of Crime Analysis: Data, Analyses, and Mapping

✍ Scribed by Jeffery T. Walker; Grant R. Drawve

Publisher: Routledge
Year: 2018
Tongue: English
Leaves: 278
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

In recent years, the fields of crime analysis and environmental criminology have grown in prominence for their advancements made in understanding crime. This book offers a theoretical and methodological introduction to crime analysis, covering the main techniques used in the analysis of crime and the foundation of crime mapping. Coverage includes discussions of:

The development of crime analysis and the profession of the crime analyst,

The theoretical roots of crime analysis in environmental criminology,

Pertinent statistical methods for crime analysis,

Spatio-temporal applications of crime analysis,

Crime mapping and the intersection of crime analysis and police work,

Future directions for crime analysis.

Packed with case studies and including examples of specific problems faced by crime analysts, this book offers the perfect introduction to the analysis and investigation of crime. It is essential reading for students taking courses on crime analysis, crime mapping, crime prevention, and environmental criminology. A companion website offers further resources for students, including flashcards and video and website links. For instructors, it includes chapter-by-chapter PowerPoint slides.

📜 SIMILAR VOLUMES

Data Analyst: Careers in data analysis

📁 Data Analyst: Careers in data analysis

✍ Harish Gulati; Charles Joseph; Rune Rasmussen; Clare Stanier; Obi Umegbolu 📂 Library 📅 2019 🏛 BCS, The Chartered Institute for IT 🌐 English

Data is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to adhe

Mapping and analysing crime data: lesson

📁 Mapping and analysing crime data: lessons from research and practice

✍ Alex Hirschfield 📂 Library 📅 2001 🏛 Taylor & Francis 🌐 English

One of the key methods of reducing and dealing with criminal activity is to accurately gauge and then analyse the geographical distribution of crime (from small scale to large scale areas). Once the police and government know what areas suffer most from criminal activity they can assess why this is

Asteroseismic Data Analysis: Foundations

📁 Asteroseismic Data Analysis: Foundations and Techniques

✍ Sarbani Basu; William J. Chaplin 📂 Library 📅 2017 🏛 Princeton University Press 🌐 English

<p>Studies of stars and stellar populations, and the discovery and characterization of exoplanets, are being revolutionized by new satellite and telescope observations of unprecedented quality and scope. Some of the most significant advances have been in the field of asteroseismology, the study of s

Music data analysis: foundations and app

📁 Music data analysis: foundations and applications

✍ Jannach, Dietmar; Rudolph, Guenter; Vatolkin, Igor; Weihs, Claus 📂 Library 📅 2017 🏛 Chapman and Hall/CRC 🌐 English

<P>This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects

Data Mining and Predictive Analysis: Int

📁 Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis

✍ Colleen McCue 📂 Library 📅 2007 🌐 English

It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime

Data Mining and Predictive Analysis. Int

📁 Data Mining and Predictive Analysis. Intelligence Gathering and Crime Analysis

✍ Colleen McCue (Auth.) 📂 Library 📅 2007 🏛 Butterworth-Heinemann 🌐 English

Content: <br>Foreword</span></a></h3>, <i>Pages xiii-xiv</i><br>Preface</span></a></h3>, <i>Pages xv-xxiii</i><br>Introduction</span></a></h3>, <i>Pages xxv-xxxi</i><br>1 - Basics</span></a></h3>, <i>Pages 3-18</i><br>2 - Domain Expertise</span></a></h3>, <i>Pages 19-24</i><br>3 - Data Mining</span>