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Session 2. Creating and visualising geo annotations
Date: Thursday, October 11, 2018, 16h00 (UK time)
Session coordinator: Elton Barker (Open University), Gethin Rees (British Library), Valeria Vitale (Institute of Classical Studies)
YouTube link:
Slides:
- Visualisations of ancient geodata: looking at ancient geographies
- Case study: annotating Pausanias
- Adding a spatial dimension to the study of history
- Tutorial: Annotating digital texts and images with Recogito
- Tom Elliott and Sean Gillies, “Digital Geography and Classics”, Digital Humanities Quarterly, 2009 3.1, Available: http://digitalhumanities.org/dhq/vol/3/1/000031/000031.html
- Palladino C., 2016. "New Approaches to Ancient Spatial Models: Digital Humanities and Classical Geography." BICS 59.2, 56-70. Available: http://onlinelibrary.wiley.com/doi/10.1111/j.2041-5370.2016.12038.x/full
- Rainer Simon, Elton Barker, et al. (2015). “Linking early geospatial documents, one place at a time: annotation of geographic documents with Recogito.” e-Perimetron, 10.2, pp. 49–59. Available: http://oro.open.ac.uk/43613/1/Simon_et_al.pdf
- Ryan Horne, “Beyond Maps as Images at the Ancient World Mapping Center”, ISAW Papers 7.9 (2014). Available: http://dlib.nyu.edu/awdl/isaw/isaw-papers/7/horne/
###Essay title Discuss how spatial annotations may change the study and understanding of an historical source, and what is the benefit of sharing such annotations in a standard format.
Create an account on Recogito and upload one source file (either in text or in image format). Perform at least 100 place annotations, and any number of person and event annotations, if relevant. Be sure to use tags and comments to refine your annotations. If you are working collaboratively with other students and colleagues, discuss your rationale and the common guidelines before starting the annotation process. Look at your annotations on the map view and discuss with your colleagues or with your instructor what information can be derived from the cartographic visualisation. Try different kind of visualisation, for example by tag.
Optional 1: Draft a new research question that is stimulated by the outcome of your annotation exercise. What new insight have you gained about the text? Optional 2: Download your annotations in CSV format. Open the CSV in a suitable application (for example Excel, Google Sheets, Numbers). What can you see? Describe all the columns that have been generated and what is the origin of the information they show.