Understanding Crime Hotspots: GIS-Based Training
Short course
In London
Description
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Type
Short course
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Level
Intermediate
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Location
London
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Class hours
7h
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Duration
1 Day
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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
Start date
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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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 hotspotsWe'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 patternsThese 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 mapsPoint 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 mappingThematic 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 mappingQuadrat 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