This course is intended to serve as a conceptual and practical foundation for the Spatial Analysis module in Term 2; however, the course will also be of interest to students who wish to understand and employ computational tools in their own research practice (e.g. in the IGS and post-graduation). It is intended that the methods covered be relevant to both human and physical geography students. Likely topics covered will be: Introducing computational techniques, reading data, checking and filtering data, visualising data, aggregating data, distributions in data, looking for relationships, looking for differences and making a map without GIS.
*Please note that module information is indicative and may change from year to year.
James Millington; Jon Reades
The module is structured into ten one-hour lectures, each accompanied by a three-hour practical, that covers different computational concepts and their application.
Module assessment - more information
1 coursework (65%); 2 x online quizzes (10% each); 1 executable code assessment (15%)