Welcome to the course page for AFF624: Mapping and Modelling Space and Time, a module of the MSc in Spatial eHumanities and MA in Digital Humanities at Maynooth University. The module will run through Semester 1 of the 2017-2018 academic year and is offered on the full-time and part-time MSc in Spatial eHumanities (compulsory) and MA in Digital Humanities (elective).
Semester 1 (2017-18): Thursday 10:00-12:00
Iontas Building, An Foras Feasa, Seminar Room
This module provides an introduction to the basics of data analysis, exploration and visualisation, with particular focus on spatial and temporal data. The module is divided into two parts: a) Modelling Space and Time in Three Dimensions; b) Modelling Space and Time in Two Dimensions.
In the first part of the module students will explore the concepts of space and time, while being introduced to spatial humanities and the various technologies that enhance conventional ways of researching history, archaeology, and literature. This part will also focus on the creation of three-dimensional spaces and the tools available for analysing spatial datasets (e.g. visibility, illumination etc.). Guest lecturers who have worked on different 3D modelling approaches to ancient and modern spaces will present their work and discuss problems and perspectives. Finally, students will become familiar with the emerging technologies of Virtual and Mixed Reality while investigating how such methods have transformed the concepts of space, place, and time.
The second part of the module will consider 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 will be introduced, in particular the use of open data and ‘citizen science’ data and the idea of reproducibility in data analysis. The sessions during this part are broadly based on using the R programming Language, and in particular RStudio.
Theoretical debates and challenges in the field will also be discussed through the relevant bibliography and characteristic case studies. The theoretical concepts and modelling tools introduced in this module will provide the basis for delving into more advanced spatial and temporal modelling methodologies during the course.