Encoding spatial information: The evidence for hierarchical processing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

This paper describes how individuals process spatial information, how geographical location can affect the method of processing, how an understanding of spatial information processing is necessary to model spatial choices accurately, and how spatial variations in the way information is processed can be measured. Both non-hierarchical and hierarchical methods of processing information are discussed with the latter being the more likely means of processing spatial information. Results from an empirical example using migration flows within the U.S. suggest that individuals use a hierarchical method of spatial ordering and that there is a spatial pattern to the degree to which spatial information is processed hierarchically. This pattern is shown to be related to the amount of spatial information available to an individual.

Original languageEnglish (US)
Title of host publicationTheories and Methods of Spatio-Temporal Reasoning in Geographic Space
Subtitle of host publicationInternational Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning, Proceedings
EditorsAndrew U. Frank, Irene Campari, Ubaldo Formentini
PublisherSpringer Verlag
Pages269-287
Number of pages19
ISBN (Print)9783540559665
DOIs
StatePublished - Jan 1 1992
Externally publishedYes
Event1st International Conference on Spatial and Temporal Reasoning in Geographic Space, 1992 - Pisa, Italy
Duration: Sep 21 1992Sep 23 1992

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume639 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Spatial and Temporal Reasoning in Geographic Space, 1992
CountryItaly
CityPisa
Period9/21/929/23/92

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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