Xiaoqiang Cheng
Biographic Data
| ID | 6746023 |
|---|---|
| NAME | Xiaoqiang Cheng |
| GIVEN NAMES | Xiaoqiang |
| FAMILY NAME | Cheng |
| SIGNATURE | CHENG X |
| AFFILIATIONS | Hubei University |
| ORCID | 0000-0003-1737-0596 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
LBS Tag Cloud
Taking location-based service (LBS) as the research scenario and aiming at the limitation of visualizing LBS points of interest (POI) in conventional web maps, this article proposes a visualization method of LBS-POI based on tag cloud, which is called “LBS tag cloud”. In this method, the user location is taken as the layout center, and the name of the POI is converted into a text tag and then placed around the center. The tags’ size, color, and p…
MSLF
Modern technology has given thousands of amateur cartographers not only the opportunity but also the means to make a valuable contribution to mapping at all scales. However, web maps made by amateurs are prone to legibility shortcomings, such as coalescence, complexity, and congestion. These problems can be solved by map generalization; however, for amateurs participating in web mapping, the crucial decision is when to activate generalization. Su…
No prominent works on this page.
MSLF
Modern technology has given thousands of amateur cartographers not only the opportunity but also the means to make a valuable contribution to mapping at all scales. However, web maps made by amateurs are prone to legibility shortcomings, such as coalescence, complexity, and congestion. These problems can be solved by map generalization; however, for amateurs participating in web mapping, the crucial decision is when to activate generalization. Su…
LBS Tag Cloud
Taking location-based service (LBS) as the research scenario and aiming at the limitation of visualizing LBS points of interest (POI) in conventional web maps, this article proposes a visualization method of LBS-POI based on tag cloud, which is called “LBS tag cloud”. In this method, the user location is taken as the layout center, and the name of the POI is converted into a text tag and then placed around the center. The tags’ size, color, and p…
Artificial Intelligence (2 works) · Cartography (2 works) · Computer Science (2 works) · Data Management and Algorithms (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Cartographic generalization (1 work) · Cloud computing (1 work) · Computer network (1 work) · Computer vision (1 work)