Spatial Relationship Analysis of Geographic Elements in Sketch Maps at the Meso and Micro Spatial Scales
Bibliographic Data
| ID | 22034835 |
|---|---|
| Authors | Chen 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) |
| Year | 2024 |
| Volume | 13 |
| Issue | 1 |
| Pages | 32 |
| Publication date | 2024-01-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi13010032 |
| OpenAlex | W4391111018 |
| Language | EN |
| Citations received | 2 |
| References cited | 29 |
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
Sketch Maps and Qualitative GIS
Descriptive statistics and normality tests for statistical data
How to separate coordinate and categorical spatial relation components in integrated spatial representations
Framing Guidelines for Multi-Scale Map Design Using Databases at Multiple Resolutions
Area Estimation of World Regions and the Projection of the Global-Scale Cognitive Map
How Cognitive Maps are Learned and Remembered
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |