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 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.

• Publication year

  2009

• Venue

  Open Geospatial Data, Software and Standards

• Publication date

  2009-03-04

• Fields of study

  Geography, Computer Science, Geology

• Identifiers
  DOI 10.1186/s40965-018-0053-8
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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