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Searching for an Optimal Hexagonal Shaped Enumeration Unit Size for Effective Spatial Pattern Recognition in Choropleth Maps
- Source :
- ISPRS International Journal of Geo-Information, Vol 10, Iss 576, p 576 (2021), ISPRS International Journal of Geo-Information, Volume 10, Issue 9
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Thoughtful consideration of the enumeration unit size in choropleth map design is important to ensure the correct communication of spatial information. However, the enumeration unit size and its influence on pattern conveying in choropleth maps have not yet been the subject of in-depth empirical studies. This research aims to address this gap. We focused on the issue concerning whether the ability to recognize spatial patterns on an Equal Area Unit Map is related to the hexagonal enumeration unit size, defined by the number of pixels. The aim is to indicate the range of the enumeration unit sizes, namely, at what point the upper and lower borders of the range where the spatial patterns start, and where the end is visible and recognizable by users. To address this problem, we conducted an empirical study with 488 users. The results show that the enumeration unit size has an impact on the users’ spatial pattern recognition abilities. Choropleth maps with enumeration unit sizes of 26, 52, and 104 pixels were, in the majority, indicated by participants as those most suitable for indicating spatial patterns. This was in contrast to choropleth maps with enumeration unit sizes of 1664 and 3328 pixels, which users indicated as not being useful. However, there were some exceptions to this general finding. Thus, determining the optimal enumeration unit size is a challenging task, and requires further insightful investigations.
- Subjects :
- Cartographic generalization
Geography (General)
enumeration unit size
Pixel
Point (typography)
Computer science
business.industry
Geography, Planning and Development
pattern recognition
Pattern recognition
user study
choropleth map
map generalization
Pattern recognition (psychology)
Earth and Planetary Sciences (miscellaneous)
Spatial ecology
Enumeration
G1-922
Artificial intelligence
Computers in Earth Sciences
business
Choropleth map
equal area unit map
Spatial analysis
Subjects
Details
- Language :
- English
- ISSN :
- 22209964
- Volume :
- 10
- Issue :
- 576
- Database :
- OpenAIRE
- Journal :
- ISPRS International Journal of Geo-Information
- Accession number :
- edsair.doi.dedup.....dd77a3a35aa0686657b1e4749df21091