Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid
With the continuous advancement of technology for obtaining geographic spatial data, the accumulated volume of such data has been increasing, thus imposing higher demands on the storage, organization, and management of such data. As a new form of data management, the Discrete Global Grid System (DGG...
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MDPI AG
2024-12-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/14/1/5 |
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| author | Yue Ma Guoqing Li Long Zhao Xiaochuang Yao |
| author_facet | Yue Ma Guoqing Li Long Zhao Xiaochuang Yao |
| author_sort | Yue Ma |
| collection | DOAJ |
| description | With the continuous advancement of technology for obtaining geographic spatial data, the accumulated volume of such data has been increasing, thus imposing higher demands on the storage, organization, and management of such data. As a new form of data management, the Discrete Global Grid System (DGGS) provides standardized descriptions and the exchange of geographic information on a global scale, enabling the efficient storage and application of large-scale global spatial data. Constituting a traditional type of GIS spatial data, vector data have advantages such as clear positions, implicit attributes, and suitability for map output. The representation of vector data in the global discrete grid network based on an equal-area projection, such as the hexagonal grid, fundamentally solves problems such as data redundancy, geometric deformation, and data discontinuity that arise when representing multiple vector data in a gridded format. This paper proposes different gridding methods for various types of vector data, and a quantifiable accuracy evaluation system is established from the perspectives of geographical deviation, geometric features, and topological relationships, to evaluate the accuracy of the gridded vector data, covering all types of gridded vector data based on the hexagonal grid. The evaluation method is generally applicable to all hexagonal-grid-based gridded vector data, and can be generalized based on application scenarios, for evaluating the usability of hexagonal grid vector data. |
| format | Article |
| id | doaj-art-02f95a2dfd134887b3410cf97468b4d5 |
| institution | Kabale University |
| issn | 2220-9964 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-02f95a2dfd134887b3410cf97468b4d52025-01-24T13:34:57ZengMDPI AGISPRS International Journal of Geo-Information2220-99642024-12-01141510.3390/ijgi14010005Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global GridYue Ma0Guoqing Li1Long Zhao2Xiaochuang Yao3Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100193, ChinaWith the continuous advancement of technology for obtaining geographic spatial data, the accumulated volume of such data has been increasing, thus imposing higher demands on the storage, organization, and management of such data. As a new form of data management, the Discrete Global Grid System (DGGS) provides standardized descriptions and the exchange of geographic information on a global scale, enabling the efficient storage and application of large-scale global spatial data. Constituting a traditional type of GIS spatial data, vector data have advantages such as clear positions, implicit attributes, and suitability for map output. The representation of vector data in the global discrete grid network based on an equal-area projection, such as the hexagonal grid, fundamentally solves problems such as data redundancy, geometric deformation, and data discontinuity that arise when representing multiple vector data in a gridded format. This paper proposes different gridding methods for various types of vector data, and a quantifiable accuracy evaluation system is established from the perspectives of geographical deviation, geometric features, and topological relationships, to evaluate the accuracy of the gridded vector data, covering all types of gridded vector data based on the hexagonal grid. The evaluation method is generally applicable to all hexagonal-grid-based gridded vector data, and can be generalized based on application scenarios, for evaluating the usability of hexagonal grid vector data.https://www.mdpi.com/2220-9964/14/1/5vector dataDiscrete Global Grid Systemdata organizationaccuracy evaluation |
| spellingShingle | Yue Ma Guoqing Li Long Zhao Xiaochuang Yao Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid ISPRS International Journal of Geo-Information vector data Discrete Global Grid System data organization accuracy evaluation |
| title | Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid |
| title_full | Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid |
| title_fullStr | Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid |
| title_full_unstemmed | Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid |
| title_short | Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid |
| title_sort | accuracy evaluation method for vector data based on hexagonal discrete global grid |
| topic | vector data Discrete Global Grid System data organization accuracy evaluation |
| url | https://www.mdpi.com/2220-9964/14/1/5 |
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