General Information
| Course Code | R_SpaCrim |
|---|---|
| Credits | 6 EC |
| Period | P5 |
| Course Level | 600 |
| Language of Tuition | English |
| Faculty | Faculty of Law |
| Course Coordinator | dr. J.J. van der Kemp |
| Examiner | dr. J.J. van der Kemp |
| Teaching Staff |
dr. J.J. van der Kemp |
|
Part of programme(s)
Master
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Practical Information
You need to register for this course yourself. The (de)registration deadlines can be found on VU.nl
The maximum number of students for this course is 30.
| Teaching Methods | Seminar |
|---|
Course Objective
(1) Students acquire knowledge of the theories and studies on thespatial distribution of crime;
(2) Student are able to create (crime) maps using GIS software (such as
QGIS)
as well as perform basic spatial criminological analyses.
(3) Students are able to interpret and discuss results from spatial
analyses.
Course Content
In this course the basic principles of Crime Mapping using a geographicinformation system (GIS) and spatial analyses are taught.
Mapping where crime takes place is the first step of the analysis of
spatial distribution of crime. The relationship between theories and
methods of spatial analysis are discussed. For example, assuming that
the spatial distribution of crime is associated with the level of social
cohesion in a neighborhood.
How such a relationship can be studied from a environmental
criminological perspective and with what
spatial analysis methods is discussed in the course.
A number of different analytical methods are taught and practiced by
assignments during the labs and during the final research project on a
spatial crime problem.
The project in this course is based on field work undertaken by the
students.
Students collect spatial data in the 'field' and use that data as a
basis for their final project.
Additional Information Teaching Methods
As this course is mostly practice based (i.e. a lab course), attendanceis of importance.
Method of Assessment
To be announcedEntry Requirements
Students should have bachelor level knowledge of research methods andquantitative statistical analyses.
Literature
Literature is made available via Canvas.Additional Information
This course requires you to bring your own laptop.Windows laptops are preferred due to the software.
Custom Course Registration
For this course a maximum of 30 student may be registered. If the courseis full no more places will be made available.
Recommended background knowledge
Students should have bachelor level knowledge of research methods andquantitative statistical analyses.