ANALYSING SPATIAL AND TEMPORAL DATA USING R
- Module code: GY672
- Credits: 10
- Semester: 1
- Department: GEOGRAPHY
- International:
- Coordinator: Prof. Christopher Brunsdon (GEOGRAPHY)
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Overview |
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This module provides an introduction to the basics of data analysis, exploration and visualisation, with particular focus on spatial and temporal data. The module consists of a series of lectures including an introduction and start-up session to a take away practical exercise using the statistical programming language R. The module begins with basic methods to explore, describe and graphically represent one- and two-dimensional data, before moving on to consider more advanced methods to manipulate and visualise geographical information, and explore and identify trends and seasonal patterns in time series data. In addition, some methodological aspects of data analysis are introduced, in particular the use of open data and ‘citizen science’ data and the idea of reproducibility in data analysis. |
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Teaching & Learning methods |
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Assessment |
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Autumn Supplementals/Resits |
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Additional Reading |
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Timetable |
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