Please note: This course will be taught online only. In person study is not available for this course.
Dr Nick Bearman teaches GIS to a wide variety of audiences, both in academia and industry. He works as UCL as Project Delivery Manager for the Consumer Data Research Centre within UCL Geography. He is passionate about GIS and spatial skills both as a tool to solve problems and as a vital skill to be taught to anyone who uses spatial data to make decisions. He is a Chartered Geographer (GIS) and Fellow of the Royal Geographical Society and a Fellow of the Higher Education Authority.
This course will provide the student with an in-depth knowledge of spatial data, and how it can be used in a variety of social science applications. They will learn how spatial data is structured, how and where it can be used and how and where it cannot be used. By the end of the course they will be able to apply the skills they have learnt in their own area of study, and there will be time during the course provided to start this will the instructor available to help.
After the course, students will be:
⦁ confident understanding and using spatial data in a wide range of social science settings
⦁ be able to process a variety of GIS data sources and critically assess whether they are appropriate to use
⦁ be confident using QGIS and R to manage and work with spatial data
⦁ understand a range of spatial statistics and be able to research more advanced spatial statistics
Course Reading – both texts will be provided by ESS:
Bearman, N. (2021) GIS: Research Methods, 9781350129559, 1st (only) edition, Bloomsbury
Brunsdon, C. and Comber, L. (2018) An Introduction to R for Spatial Analysis and Mapping (Spatial Analytics and GIS), Sage)
Students will be working with a range of software, and no previous knowledge of spatial data is required. Good computer skills are required, as is a willingness to learn.
Linear Regression = elementary
OLS = elementary