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Spatial Relationship Analysis of Geographic Elements in Sketch Maps at the Meso and Micro Spatial Scales

Bibliographic Data

ID22034835
AuthorsChen Zhang (0000-0002-1923-2771, Nanjing Normal University), Ming Tang (0000-0003-1682-5077, Nanjing University of Industry Technology), Yehua Sheng (0000-0002-6980-5208, Nanjing Normal University, corresponding author)
Year2024
Volume13
Issue1
Pages32
Publication date2024-01-22
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi13010032
OpenAlexW4391111018
LanguageEN
Citations received2
References cited29

Sketch maps are an abstract and conceptual expression of humans’ cognition of geographic space. Humans perceive geographical space at different spatial scales. However, few researchers have considered the spatial relationships of geographic elements in sketch maps at multiple spatial scales. Considering the meso and micro spatial scales, this study analyses the accuracy of the spatial relationships depicted in 52 sketch maps of urban areas, including qualitative orientation, order, qualitative distance, and topological relationships. We utilized OpenStreetMap (OSM) to assess the accuracy of the four spatial relationship representations in the sketch maps. This study evaluates the reliability of spatial relationships in capturing the invariant spatial information of geographic elements in sketch maps. It helps to understand the differences in human cognition of multi-scale space

Cartography · Cognition · Geography · Remote sensing · Sketch · Spatial analysis · Spatial cognition · Spatial ecology · Categorization, perception, and language · Computer Science · Geographic Information Systems Studies · Psychology · Spatial Cognition and Navigation · Ecology

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Citations per year2
Citation span2025 - 2025 (1)
Highly citedNo

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