Chesnokova, Olga; Purves, Ross S (2018). Automatically creating a spatially referenced corpus of landscape perception. In: GIR 2018 : 12th Workshop on Geographic Information Retrieval at ACM SIGSPATIAL 2018, Seattle, 6 November 2018, ACM Digital Library.
Spatially referenced thematically relevant corpora are an important first step in analyzing a wide variety of phenomena. Here, we describe and evaluate a workflow which extracts descriptions containing first person perception of landscape, and associates these with polygon geometries used in characterizing landscapes.
Spatially referenced thematically relevant corpora are an important first step in analyzing a wide variety of phenomena. Here, we describe and evaluate a workflow which extracts descriptions containing first person perception of landscape, and associates these with polygon geometries used in characterizing landscapes.
| Item Type: | Conference or Workshop Item (Paper), not_refereed, original work |
|---|---|
| Communities & Collections: | 07 Faculty of Science > Institute of Geography |
| Dewey Decimal Classification: | 910 Geography & travel |
| Scopus Subject Areas: | Social Sciences & Humanities > Geography, Planning and Development
Physical Sciences > Information Systems Physical Sciences > Computer Networks and Communications |
| Language: | English |
| Event End Date: | 6 November 2018 |
| Deposited On: | 18 Jan 2019 12:47 |
| Last Modified: | 26 Jan 2022 20:03 |
| Publisher: | ACM Digital Library |
| ISBN: | 978-1-4503-6034-0 |
| OA Status: | Green |
| Free access at: | Publisher DOI. An embargo period may apply. |
| Publisher DOI: | https://doi.org/10.1145/3281354.3281356 |
Chesnokova, Olga