Spatial and temporal resolution of geographic information: an observation-based theory

After a review of previous work on resolution in geographic information science (GIScience), this article presents a theory of spatial and temporal resolution of sensor observations. Resolution of single observations is computed based on the characteristics of the receptors involved in the observati...

Authors: Degbelo, Auriol
Kuhn, Werner
Division/Institute:FB 14: Geowissenschaften
Document types:Article
Media types:Text
Publication date:2018
Date of publication on miami:31.08.2018
Modification date:16.05.2019
Edition statement:[Electronic ed.]
Source:Open Geospatial Data, Software and Standards 3 (2018) 12, 1-22
Subjects:Observation; Observation collection; Resolution; Ontology design pattern; Haskell; OWL; Spatial information theory
DDC Subject:550: Geowissenschaften, Geologie
License:CC BY 4.0
Language:English
Funding:Finanziert durch den Open-Access-Publikationsfonds 2018 der Deutschen Forschungsgemeinschaft (DFG) und der Westfälischen Wilhelms-Universität Münster (WWU Münster).
Format:PDF document
URN:urn:nbn:de:hbz:6-77159457779
Permalink:http://nbn-resolving.de/urn:nbn:de:hbz:6-77159457779
Other Identifiers:DOI: 10.1186/s40965-018-0053-8
Digital documents:artikel_degbelo_2018.pdf

After a review of previous work on resolution in geographic information science (GIScience), this article presents a theory of spatial and temporal resolution of sensor observations. Resolution of single observations is computed based on the characteristics of the receptors involved in the observation process, and resolution of observation collections is assessed based on the portion of the study area (or study period) that has been observed by the observations in the collection. The theory is formalized using Haskell. The concepts suggested for the description of the resolution of observation and observation collections are turned into ontology design patterns, which can be used for the annotation of current observations with their spatial and temporal resolution.