| Unit name | Spatial Data Analysis |
|---|---|
| Unit code | GEOGM0003 |
| Credit points | 20 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Professor. Richard Harris |
| Open unit status | Not open |
| Pre-requisites |
None |
| Co-requisites |
All the other courses on the MSc. |
| School/department | School of Geographical Sciences |
| Faculty | Faculty of Science |
The Spatial Data Analysis and Modelling unit has been designed to provide high quality postgraduate level research training in quantitative methods for applied social statistics and for spatial modelling. The course leads participants through the foundations of how to describe and compare social datasets, the importance of good research design, how to infer from samples to wider populations, the meaning of statistical significance and confidence, and the principles of building explanatory models, showing how these ideas are used in contemporary spatial analysis (including geographically weighted regression and multilevel modelling). It also provides an introduction to R $� an open source language for statistical analysis. The course is taught by members of the School&�s Spatial Modelling research group and of LEMMA $� a node in the ESRC National Centre For Research Methods (NCRM) programme. No prior knowledge of Mathematics (or statistics) beyond GCSE or equivalent is assumed.
