An Automatic Derivation Method for Creation of Complex Map Symbols in a Topographic Map
Bibliographic Data
| ID | 22031700 |
|---|---|
| Authors | Jiannan Yang (0000-0002-7569-679X, Chinese Academy of Surveying and Mapping), Yong Yin (0000-0003-2321-9200, Chinese Academy of Surveying and Mapping, corresponding author), Dengmao Fang (Xi’an Institute of Prospecting and Mapping, Xi’an 710054, China), Fengjiao Zheng (Wuhan Institute of Surveying and Mapping, Wuhan 430022, China) |
| Year | 2023 |
| Volume | 12 |
| Issue | 3 |
| Pages | 103 |
| Publication date | 2023-03-01 |
| 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/ijgi12030103 |
| OpenAlex | W4322771456 |
| Language | EN |
| References cited | 11 |
The topographic map plays a very important role in economic construction. In the process of drawing topographic maps, different symbols represent different ground objects, but the symbols representing complex ground objects are often complicated and difficult to create. Moreover, the creation process of complex map symbols can seriously affect the efficiency of topographic map production. Therefore, this paper proposes an automatic derivation method for creation of complex map symbols in a topographic map. The data used are new geographic entity data under the background of Chinese new fundamental surveying and mapping situation. Firstly, four derivation modes of complex map symbols are summarized, including feature-point mode, centroid mode, feature-line mode, and parallel-line mode; then, using the four modes singly or in combination, the complex map symbols of the topographic map are directly derived from the geographic entity data based on programming, and the topographic map cartographic result is obtained automatically. Finally, some topographic maps for Shanxi Province, China, is used for the validation of the creation of map symbols. The experimental results show that the proposed method can automatically derive the complex map symbols of the topographic map, greatly improving production efficiency and obtaining a good visualization effect. The proposed method is a new approach for a new situation and realizes the transformation and upgrading of fundamental surveying and mapping achievements
Cartographic generalization · Centroid · Data mining · Geometry · Global Map · Quasi-open map · Topographic map (neuroanatomy) · Visualization · Categorization, perception, and language · Color perception and design · Computer Science · Geographic Information Systems Studies · Mathematics · Artificial Intelligence
| Highly cited | No |
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