Year of entry: 2023
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Course unit details:
PG Crime Mapping: an introduction to GIS and Spatial Analysis
|Unit level||FHEQ level 7 – master's degree or fourth year of an integrated master's degree|
|Teaching period(s)||Semester 2|
|Available as a free choice unit?||Yes|
The course provides a theoretically-contextualised and practically-oriented introduction to the use of geographic information systems for crime analysis and research using R and R Studio. It combines the study of a subject area (crime and place) with the development of spatial visualisation and analysis skills. The course will be of interest to students with a particular interest in learning GIS for the study of a variety of social or public health phenomena. The course responds to current calls from ESRC and the British Academy to improve the quantitative skills of social science graduates and fits within the Q-Step Manchester initiative.
Indicative content: (1) Introduction to the course; (2) Producing your first crime map; (3) Working with spatial data; (4) Thematic maps; (5) Mapping crime ‘hot spots’; (6) Hot spots in context; (7) Global/local spatial autocorrelation; (8) Regression & challenges of autocorrelation; (9) Basic spatial regression models; (10) Course review.
|Unit title||Unit code||Requirement type||Description|
|Data Analysis with R & RStudio||CRIM70821||Pre-Requisite||Recommended|
Pre-requisites: The course assumes the student has already taken an introductory data analysis course using appropriate software such as SPSS, STATA or R such as Modelling Criminological Data, Making Sense of Criminological Data, or Data Analysis with R and R Studio, or the equivalent in other Departments across SOSS. In case of doubt about whether you meet this criteria do not hesitate to contact the Course Unit Director.
The unit aims to (1) Enhance students' understanding of criminological theory in context with particular forms of violence; (2) Develop students' awareness of the links between approaches to research, theory construction and policy surrounding violence; (3) Explore the complex relationships between power, inequality and violence, drawing upon examples such as ethnicity and gender; (4) Examine knowledge and understanding of various forms of violence through critical discussion of empirical research and theory.
On completion of the course, the student will be able to (1) Identify main research traditions in the study of crime and place; (2) Recognise key concepts on spatial data visualisation and analysis; (3) Produce maps of crime and other social features in a professional manner; (4) Carry out exploratory spatial data analysis of both points and area data; (5) Produce hot spots maps using various approaches; (6) Model spatial area data using regression.
Teaching and learning methods
Teaching methods will be flexible and allow us to adapt to changing conditions, however, the common intention across units is to provide a blended offer of the best in online and on-campus teaching that includes: (1) a workshop used for a range of discursive exercises; (2) high quality learning materials; (3) 1:1 support via a subject-specific contact hour.
Further details: In the Discussion Sessions, we will introduce the most substantive part of the course. These sessions will try to provide the context for what we are doing (the research and theory on the geography of crime) but also try to reinforce some of the methodological concepts that you will have the chance to apply in the labs. In the Practical Lab Sessions you will work interactively with a PC or your own laptop and carry out a set of designated exercises to consolidate your understanding of GIS and spatial analysis.
Transferable skills and personal qualities
Employability skills: In addition to subject-specific knowledge and understanding, Criminology units foster highly employable skills such as the ability to (i) analyse, critique and (re-)formulate a problem or issue; (ii) rapidly and thoroughly review/rate argument and evidence from targeted bibliographic searches; (iii) plan, structure and present arguments in a variety of written formats and to a strict word limit, (iv) express ideas verbally and organise work effectively in small teams for a variety of written and oral tasks; (v) obtain, manipulate and (re-)present different forms of data; (vi) manage time effectively; (vii) reflect on and improve performance through feedback.
- Analytical skills
- Oral communication
- Problem solving
- Written communication
Formative feedback (both individual and collective) will be given on on tasks and contribution in class. Summative feedback will be given on both assessed components via Blackboard (Grademark).
We won’t require you to purchase a textbook for this course unit. Instead we will rely on reading material that is available for free or that can be obtained from the library in digital format. The main required text we will be following is: ‘Crime Mapping and Analysis using R: a Practical Introduction’ by Reka Solymosi and Juanjo Medina, available online.
|Scheduled activity hours|
|Practical classes & workshops||16|
|Independent study hours|
|Reka Solymosi||Unit coordinator|
Across their course units each semester, full-time students are expected to devote a ‘working week’ of 35-40 hours to study. Accordingly each course unit demands 9-10 hours of study per week consisting of (i) teacher-led activities and sessions, (ii) preparation, required and further reading.
Part-time students study the same number of weekly hours per unit but take fewer units per semester.