Paper2GIS: A self-digitising, paper-based PPGIS

Jonathan Huck, Isobel Dunning, Pierre Lee, Thomas Lowe, Ervine Quek, Sandarau Weerasinghe, Dominic Wintie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper examines two established problems in public participatory GIS: affording participants the flexibility to represent geographical entities in a way that reflects how they think about the world; and the ‘digital divide’ in order to promote representative participation in locations that do not have good access to computing or the Internet. These two issues will be explored through the presentation of a novel prototype public participatory GIS software package, which allows the rapid automated digitisation of data collected on paper maps. This software is demonstrated in the context of a pilot study investigating perceived ‘landscape value’ in the village of Leh in the Ladakh region of Himalayan India, such that highly valued areas might be protected from the rapid, tourism-driven development currently taking place in that part of the Himalaya.
Original languageEnglish
Title of host publicationGeocomp 2017
Subtitle of host publicationProceedings of the 14th International Conference on Geocomputation
Number of pages7
Publication statusPublished - Sept 2017

Keywords

  • PGIS
  • Computer vision
  • PPGIS
  • Geocomputation

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