TY  - JOUR
AB  - 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.
AU  - Degbelo, Auriol
AU  - Kuhn, Werner
DA  - 2018-08-13
DO  - 10.1186/s40965-018-0053-8
KW  - Observation
KW  - Observation collection
KW  - Resolution
KW  - Ontology design pattern
KW  - Haskell
KW  - OWL
KW  - Spatial information theory
LA  - eng
N1  - Open Geospatial Data, Software and Standards 3 (2018) 12, 1-22
N1  - Finanziert durch den Open-Access-Publikationsfonds 2018 der Deutschen Forschungsgemeinschaft (DFG) und der Westfälischen Wilhelms-Universität Münster (WWU Münster).
PY  - 2018-08-13
TI  - Spatial and temporal resolution of geographic information: an observation-based theory
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:6-77159457779
Y2  - 2024-11-21T23:56:46
ER  -