Course description:
The course provides an introduction to some of the fundamental concepts and concerns of spatial analysis, which are taught through lectures and practical work.
Course Aims:
The aims of this course are to:
- Provide students with background to spatial analysis.
- Enable students to sieve mapping; weighted linear combination of maps. Constraint mapping and suitability analysis; weighting of evidence; standardization; trade-off and exclusion.
- Assist in site selection with Boolean and continuously classified data.
Course outcomes:
Upon completion of this course, the student should:
- Understand the basic properties of spatial data.
- Understand the main types of spatial data, the main geometrical frameworks which can be used in analyzing spatial data plus their main assumptions and limitations.
- Be familiar with the more common methods used in the statistical analysis of spatial data which are applicable to point, line and areal data and understand the assumptions involved in their use.
- Implement some of these techniques in practice in a GIS context.