Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systems
Discrete Global Grid Systems (DGGSs) are hierarchical frameworks that provide seamless global coverage and enable the efficient processing and analysis of heterogeneous geospatial data. As cell resolution becomes finer, similarities in cell attributes, such as cell size and shape, increase. Understa...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2426515 |
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| _version_ | 1849221376116785152 |
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| author | Fuli Luo Tengfei Cui Lei Wang Zheng Wang Shupeng Gao Li Han |
| author_facet | Fuli Luo Tengfei Cui Lei Wang Zheng Wang Shupeng Gao Li Han |
| author_sort | Fuli Luo |
| collection | DOAJ |
| description | Discrete Global Grid Systems (DGGSs) are hierarchical frameworks that provide seamless global coverage and enable the efficient processing and analysis of heterogeneous geospatial data. As cell resolution becomes finer, similarities in cell attributes, such as cell size and shape, increase. Understanding these shared characteristics enhances our knowledge of DGGSs structures, improving their reliability and accuracy across a range of applications. However, existing methods for quantifying these characteristics are limited, often emphasizing overall analysis and visualization rather than detailed assessment. This paper introduces a geometric pattern quantification method for equal-area hexagonal DGGSs by calculating inter-level attribute similarities to identify a reference level, segmenting the spatial distribution image at this reference level, and fitting the boundaries of these sub-images to create iso-feature lines. The results show that this method improves the accuracy and efficiency of cell attribute calculations, with enhancements of at least 5.6 times for study regions and 13.8 times for sample points at lower levels. This pattern provides a robust basis for grid selection and optimization in regional applications, promoting the broader adoption of DGGSs across various fields. |
| format | Article |
| id | doaj-art-fa30e34a3cf8496bad1e31aa1750cd4d |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-fa30e34a3cf8496bad1e31aa1750cd4d2024-11-15T05:09:20ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552024-12-0117110.1080/17538947.2024.2426515Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systemsFuli Luo0Tengfei Cui1Lei Wang2Zheng Wang3Shupeng Gao4Li Han5College of Civil Engineering, Southwest Forestry University, Kunming, People’s Republic of ChinaCollege of Civil Engineering, Southwest Forestry University, Kunming, People’s Republic of ChinaCollege of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, People’s Republic of ChinaCollege of Civil and Architectural Engineering, North China University of Science and Technology, Tangshan, People’s Republic of ChinaCollege of Civil Engineering, Southwest Forestry University, Kunming, People’s Republic of ChinaCollege of Civil Engineering, Southwest Forestry University, Kunming, People’s Republic of ChinaDiscrete Global Grid Systems (DGGSs) are hierarchical frameworks that provide seamless global coverage and enable the efficient processing and analysis of heterogeneous geospatial data. As cell resolution becomes finer, similarities in cell attributes, such as cell size and shape, increase. Understanding these shared characteristics enhances our knowledge of DGGSs structures, improving their reliability and accuracy across a range of applications. However, existing methods for quantifying these characteristics are limited, often emphasizing overall analysis and visualization rather than detailed assessment. This paper introduces a geometric pattern quantification method for equal-area hexagonal DGGSs by calculating inter-level attribute similarities to identify a reference level, segmenting the spatial distribution image at this reference level, and fitting the boundaries of these sub-images to create iso-feature lines. The results show that this method improves the accuracy and efficiency of cell attribute calculations, with enhancements of at least 5.6 times for study regions and 13.8 times for sample points at lower levels. This pattern provides a robust basis for grid selection and optimization in regional applications, promoting the broader adoption of DGGSs across various fields.https://www.tandfonline.com/doi/10.1080/17538947.2024.2426515common characteristicscell attributesiso-feature linespatial distribution imagehexagonal discrete global grid system |
| spellingShingle | Fuli Luo Tengfei Cui Lei Wang Zheng Wang Shupeng Gao Li Han Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systems International Journal of Digital Earth common characteristics cell attributes iso-feature line spatial distribution image hexagonal discrete global grid system |
| title | Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systems |
| title_full | Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systems |
| title_fullStr | Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systems |
| title_full_unstemmed | Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systems |
| title_short | Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systems |
| title_sort | construction of inherent geometric pattern for equal area hexagonal discrete global grid systems |
| topic | common characteristics cell attributes iso-feature line spatial distribution image hexagonal discrete global grid system |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2024.2426515 |
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