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Automatically creating a spatially referenced corpus of landscape perception


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 - 6 November 2018.

Abstract

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.

Abstract

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.

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Additional indexing

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:15 Apr 2020 22:49
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

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