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Module MAPPING AND MODELLING SPACE AND TIME

Module code: AFF624
Credits: 10
Semester: Year-Long
Department: AFF (DIGITAL HUMANITIES)
International: No
Overview Overview
 

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, as well as an introduction to the concept of three-dimensionality and a series of simple 3D modelling tools that will provide the basis for delving into more advanced 3D modelling methodologies during the course. The module begins with basic methods to explore, describe and graphically represent one-, two-, and three-dimensional data, before moving on to consider more advanced methods to manipulate and visualise geospatial 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. Theoretical debates and challenges in the field will also be discussed through the relevant bibliography and characteristic case studies.

Open Teaching & Learning methods
 
Open Assessment
 
Open Autumn Supplementals/Resits
 
Open Timetable
 
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