Real-time map rendering and interaction: a stylized hierarchical symbol model
文献类型:期刊论文
作者 | Huang, Kejia6,7,8; Liu, Di1; Chen, Taisheng5; Wang, Yiwen4; Wang, Chenliang2,3; Shi, Wenjiao2 |
刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
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出版日期 | 2024-12-31 |
卷号 | 17期号:1页码:25 |
关键词 | Real-time map render map interaction hierarchical symbol adaptive visualization geo-visual analytics |
ISSN号 | 1753-8947 |
DOI | 10.1080/17538947.2024.2367728 |
英文摘要 | Digital maps, serving as pivotal instruments in the realm of geographic information services, adeptly encapsulate spatial data through refined graphics and symbols. Widely used across various domains such as smart devices, in-vehicle navigation systems, unmanned aerial vehicles (UAV), electronic gaming, and virtual reality, these maps face the ongoing challenge of delivering real-time, precise, and efficacious map rendering and interaction experiences. In response to this challenge, this study introduces a Stylized Hierarchical Symbol structure (SHS) and a Geographic Feature Color-weighted Rendering technique (GFCR). The approach is further complemented by incorporating Adaptive Hierarchy-Weighted caching (AHie), Catalan Number-based Caching access (CatNCa), and Grid-based Dynamic caching loading (GriD). Experimental results demonstrate the method's effectiveness in addressing issues related to timeliness, accuracy, and logical correctness in mobile map environments, enhancing the real-time interaction experience of mobile digital maps. Notably, this method imposes modest hardware and storage requirements, making it applicable to a wide range of scenarios including natural resource planning, intricate road landscapes, route navigation challenges, and emerging fields such as autonomous driving, virtual reality, and the metaverse. |
资助项目 | National Key Research and Development Program of China[2022YFF1301101] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20040301] ; National Natural Science Foundation of China[42271443] ; State Key Laboratory of Resources and Environmental Information System ; Key Project of Natural Science Research of Anhui Provincial Department of Education[KJ2020A0720] ; Anhui Provincial Natural Science Foundation[2208085Y15] |
WOS研究方向 | Physical Geography ; Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:001250613900001 |
出版者 | TAYLOR & FRANCIS LTD |
资助机构 | National Key Research and Development Program of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; State Key Laboratory of Resources and Environmental Information System ; Key Project of Natural Science Research of Anhui Provincial Department of Education ; Anhui Provincial Natural Science Foundation |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/206465] ![]() |
专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
通讯作者 | Wang, Chenliang |
作者单位 | 1.Sun Yat Sen Univ, Sch Aeronaut & Astronaut, Shenzhen Campus, Shenzhen, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Wenzhou Univ Technol, Sch Data Sci & Artificial Intelligence, Wenzhou 325000, Peoples R China 4.Nanjing Univ, Sch Architecture & Urban Planning, Nanjing, Peoples R China 5.Suzhou Univ Sci & Technol, Sch Geog Sci & Geomatics Engn, Suzhou, Peoples R China 6.State Key Lab Cultivat Base Geog Environm Evolut J, Nanjing, Peoples R China 7.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ PRC, Nanjing, Peoples R China 8.Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Kejia,Liu, Di,Chen, Taisheng,et al. Real-time map rendering and interaction: a stylized hierarchical symbol model[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2024,17(1):25. |
APA | Huang, Kejia,Liu, Di,Chen, Taisheng,Wang, Yiwen,Wang, Chenliang,&Shi, Wenjiao.(2024).Real-time map rendering and interaction: a stylized hierarchical symbol model.INTERNATIONAL JOURNAL OF DIGITAL EARTH,17(1),25. |
MLA | Huang, Kejia,et al."Real-time map rendering and interaction: a stylized hierarchical symbol model".INTERNATIONAL JOURNAL OF DIGITAL EARTH 17.1(2024):25. |
入库方式: OAI收割
来源:地理科学与资源研究所
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