𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Mapping and analysing crime data: lessons from research and practice

✍ Scribed by Alex Hirschfield


Publisher
Taylor & Francis
Year
2001
Tongue
English
Leaves
303
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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 the case and then deal with it in the most effective way.Crime mapping and the spatial analysis of crime data have become recognised as powerful tools for the study and control of crime. Much of the emerging demand for more information and detailed crime pattern analysis have been driven by legislative changes, such as the UK's new Crime and Disorder Act which has placed a joint statutory duty on Police Forces and Local Authorities to produce crime and disorder audits for their areas.The book sets out methods used in the fields of Geographical Information Systems and highlights areas of best practice, examines the types of problems to which spatial crime analysis can be applied, reviews the capabilities and limitations of existing techniques, and explores the future directions of spatial crime analysis and the need for training. It centres on a series of case studies highlighting the experiences of academics and practitioners in agencies centrally involved in the partnership approach to crime prevention.Practitioners and academics not only in the UK but also worldwide should be interested in the book as an up-to-date information resource and a practical guide.


πŸ“œ SIMILAR VOLUMES


Foundations of Crime Analysis: Data, Ana
✍ Jeffery T. Walker; Grant R. Drawve πŸ“‚ Library πŸ“… 2018 πŸ› Routledge 🌐 English

<p>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

Crime Mapping Case Studies: Practice and
✍ Spencer Chainey, Lisa Tompson πŸ“‚ Library πŸ“… 2008 🌐 English

Crime Mapping Case Studies: From Research to PracticeΒ provides a series of key examples from practice and research that demonstrate applications of crime mapping and its effect in many areas of policing and crime reduction. This book brings together case studies that show how crime mapping can be us

Crime Mapping Case Studies: Practice and
πŸ“‚ Library 🌐 English

Content: <br>Chapter 1 Developing Geographical Information Systems and Crime Mapping Tools in New Zealand (pages 1–7): Andy Gilmour and Jill Barclay<br>Chapter 2 An Analytical Technique for Addressing Geographical Referencing Difficulties and Monitoring Crimes in Rio de Janeiro, Brazil (pages 9–18):

Never Waste a Good Crisis: Lessons Learn
✍ Klaas Sijtsma πŸ“‚ Library πŸ“… 2023 πŸ› CRC Press/Chapman & Hall 🌐 English

<p><span>This book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data manipulation harms research results and th

The practice of reproducible research: c
✍ Deniz, Fatma;Kitzes, Justin;Turek, Daniel πŸ“‚ Library πŸ“… 2018 πŸ› University of California Press 🌐 English

"The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. Each of the thirty-one case studies in this volume describes the workflow that an author used to complete a real-

The Practice of Reproducible Research: C
✍ Justin Kitzes (editor) πŸ“‚ Library πŸ“… 2017 πŸ› University of California Press 🌐 English

<p><i>The Practice of Reproducible Research</i>Β presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. In each of the thirty-one case studies in this volume, the author or team describes the workflow that th