Abstract
This chapter introduces readers to Geographical Information Systems (GIS) and the methodological assumptions which underpin their use. GIS is a highly effective and well-established way of representing quantitative data, but it is thought to be unsuitable for unstructured textual data. This chapter details how a bridge can be built between GIS and texts using techniques from Natural Language Processing. We introduce the process of geoparsing and show how to use gazeteers to mark-up texts, before problematizing how space can be represented.
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CITATION STYLE
Paterson, L. L., & Gregory, I. N. (2019). Geographical Information Systems and Textual Sources. In Representations of Poverty and Place (pp. 41–60). Springer International Publishing. https://doi.org/10.1007/978-3-319-93503-4_3
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