Understanding Crime Hotspots: GIS-Based Training

Short course

In London

£ 475 VAT inc.

Description

  • Type

    Short course

  • Level

    Intermediate

  • Location

    London

  • Class hours

    7h

  • Duration

    1 Day

  • Start date

    Different dates available

This one-day short course will give you a comprehensive understanding of crime hotspots, covering analytical techniques and the theory that underpins them.
It's a GIS-based course aimed at introducing intelligence, crime and community safety analysts and researchers to techniques for identifying and understanding hotspots and other geographic patterns of crime.
The course is run by UCL's Jill Dando Institute of Security and Crime Science. It's held at our offices in London, but can also be delivered at your site for a minimum of six staff.

Facilities

Location

Start date

London
See map
Gower Street, WC1E 6BT

Start date

Different dates availableEnrolment now open

About this course

This GIS-based course is for users of MapInfo, ArcGIS (ArcMAP) and CadCorp SIS.
It's aimed at:
police and CSP analysts
researchers
information officers

You'll need at least a foundation in MapInfo, ArcGIS or Cadcorp SIS software.
The course is only suitable for users of Mapinfo, ArcView, ArcGIS, or Cadcorp SIS.

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Reviews

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • GIS
  • Hotspots
  • Diagnostics
  • Diagnostics of hotspots
  • Crime Hotspots
  • GIS-Based Training
  • Training First Aid
  • Analytical techniques
  • Police and CSP analysts
  • CSP analysts

Course programme

The course includes the following topics:

Theoretical principles for understanding hotspots

We'll define the term ‘hotspot’, explore the diagnostics of hotspots and discuss several key spatial theories that can be used to help explain why a hotspot may exist.

Nearest neighbour and standard distance statistics for describing crime patterns

These statistics can provide a useful insight into the types of geographic patterns that exist in crime data before the data is displayed on a map. For example, these tests can be used to explore if evidence of spatial clustering exists and how dispersed the distribution is relative to other crime types or crime periods.

Point maps

Point mapping is a common means of displaying crime events, but difficulties may arise in using this technique when handling large volumes of data or if locations of repeat events exist. We'll explore the practical uses of this technique.

Geographic boundary thematic mapping

Thematic mapping of crime data, aggregated to geographical administrative boundary areas such as census output areas, wards, or police beats, is a popular method for visually crime patterns.

However, problems exist with this technique that can cause misleading interpretations of where crime may be most prevalent. This can be due to freedom of choice in the different thematic range settings that are possible for displaying comparative levels of crime, and from the problems associated with a concept called the 'modifiable area unit problem'. We'll demonstrate how the technique can be used, and discuss its practical application.

Quadrat thematic mapping

Quadrat thematic mapping is a technique that uses uniform grid cells (quadrats) of a specified user width to thematically shade crime patterns. We'll explore the advantages and disadvantages of this technique for helping to determine and understand crime hotspots.

Kernel density estimation (KDE)

KDE is a method that aggregates points within a specified search radius, and creates a smooth continuous surface that represents the density of events distributed across the area. We'll go through tools that can be used to generate KDE hotspot maps and discusses the technique’s application. This includes discussion on the parameter settings that are required for KDE.

Understanding Crime Hotspots: GIS-Based Training

£ 475 VAT inc.