WalkGIS: Exploring Platial Analysis of Leisure Walks via Linked Video Narratives

Williams, J., Pinchin, J., Hazzard, A., Priestnall, G., Cavazzi, S. & Ballatore, A. (2023). WalkGIS: Exploring Platial Analysis of Leisure Walks via Linked Video Narratives. 31st Annual Geographical Information Science Research UK Conference (GISRUK), 1–6. https://doi.org/10.5281/zenodo.7825302

@inproceedings{Williams2023,
  address      = {Glasgow, Scotland},
  title        = {WalkGIS: Exploring Platial Analysis of Leisure Walks via Linked Video Narratives},
  doi          = {10.5281/zenodo.7825302},
  booktitle    = {31st Annual Geographical Information Science Research UK Conference (GISRUK)},
  author       = {Williams, James and Pinchin, James and Hazzard, Adrian and Priestnall, Gary and Cavazzi, Stefano and Ballatore, Andrea},
  year         = {2023},
  url          = {/assets/papers/Williams2023.pdf},
  pages        = {1–6},
  abstract     = {Extracting rich contextual information from study participants presents an interesting challenge when the expected results are uncertain. This article presents the design of a contextual geographic information system (GIS) to extract platial information from a multimodal data set (audio, video, and GPS) collected during a ‘think-aloud’ leisure walking study. WalkGIS enables transcriptions, labelling, and platial analysis to be performed within one system, with data being linked and coordinated to form linked video narratives.},
  keywords     = {Visual Analytics; Leisure Walking; Platial Information; Geographic Information Systems; Spatial Video Narratives}
}