Mingguang Wu
Biographic Data
| ID | 4417773 |
|---|---|
| NAME | Mingguang Wu |
| GIVEN NAMES | Mingguang |
| FAMILY NAME | Wu |
| SIGNATURE | WU M |
| AFFILIATIONS | Nanjing Normal University |
| ORCID | 0000-0001-6086-4503 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Transferring Accessible Colors from Images to Maps to Improve Accessibility for Users with Color Vision Deficiencies
Mapping with a sense of place
Measuring intercity symbol permeation to reveal the spatial structures of cultural diffusion and absorption among cities
A Study of the Evolution of Haze Microblog Concerns Based on a Co-Word Network Analysis
Haze is a phenomenon caused by excessive PM2.5 (air-borne particulate matter having a diameter of fewer than 2.5 μm) and other pollutants and results from the interaction between specific climatic conditions and human activities. It significantly impacts human health, transportation, and the natural environment and has aroused widespread concern. However, the influence of haze on human mental health, being hidden and indirect, is often overlooked…
What can cartographers learn from artistic paintings when stylizing maps? A preliminary synthesis from the perspective of visual neuroscience
High-Precision Dynamic Traffic Noise Mapping Based on Road Surveillance Video
High-precision dynamic traffic noise maps can describe the spatial and temporal distributions of noise and are necessary for actual noise prevention. Existing monitoring point-based methods suffer from limited spatial adaptability, and prediction model-based methods are limited by the requirements for traffic and environmental parameter specifications. Road surveillance video data are effective for computing and analyzing dynamic traffic-related …
Adaptive transfer of color from images to maps and visualizations
Because crafting attractive and effective colors from scratch is a high-effort and time-consuming process in map and visualization design, transferring color from an inspiration source to maps and visualizations is a promising technique for both novices and experts. To date, existing image-to-image color transfer methods suffer from ambiguities and inconsistencies; no computational approach is available to transfer color from arbitrary images to …
Toward green cartography & visualization
We introduce a semantically-enriched method of generating color schemes for various types of digital maps that reduces the energy consumption of the display device while preserving the quality of the original design. Energy-aware design intersects two important trends in cartography. First, as more maps are viewed today on mobile, battery life has become a central constraint influencing design. Second, there is increasing need for green computing…
An improved map-symbol model to facilitate sharing of heterogeneous qualitative map symbols
Symbol sharing that is facilitated by current technologies is hampered by the incompatibility of current map-symbol models with existing heterogeneous map-symbol resources. After a comparative analysis of the terminology and symbol construction strategies in existing map-symbol models, an improved model is presented to facilitate symbol sharing. The model combines current symbol description methods to enable broad compatibility with heterogeneous…
Adaptive transfer of color from images to maps and visualizations
Because crafting attractive and effective colors from scratch is a high-effort and time-consuming process in map and visualization design, transferring color from an inspiration source to maps and visualizations is a promising technique for both novices and experts. To date, existing image-to-image color transfer methods suffer from ambiguities and inconsistencies; no computational approach is available to transfer color from arbitrary images to …
Toward green cartography & visualization
We introduce a semantically-enriched method of generating color schemes for various types of digital maps that reduces the energy consumption of the display device while preserving the quality of the original design. Energy-aware design intersects two important trends in cartography. First, as more maps are viewed today on mobile, battery life has become a central constraint influencing design. Second, there is increasing need for green computing…
An improved map-symbol model to facilitate sharing of heterogeneous qualitative map symbols
Symbol sharing that is facilitated by current technologies is hampered by the incompatibility of current map-symbol models with existing heterogeneous map-symbol resources. After a comparative analysis of the terminology and symbol construction strategies in existing map-symbol models, an improved model is presented to facilitate symbol sharing. The model combines current symbol description methods to enable broad compatibility with heterogeneous…
Toward green cartography & visualization
We introduce a semantically-enriched method of generating color schemes for various types of digital maps that reduces the energy consumption of the display device while preserving the quality of the original design. Energy-aware design intersects two important trends in cartography. First, as more maps are viewed today on mobile, battery life has become a central constraint influencing design. Second, there is increasing need for green computing…
Adaptive transfer of color from images to maps and visualizations
Because crafting attractive and effective colors from scratch is a high-effort and time-consuming process in map and visualization design, transferring color from an inspiration source to maps and visualizations is a promising technique for both novices and experts. To date, existing image-to-image color transfer methods suffer from ambiguities and inconsistencies; no computational approach is available to transfer color from arbitrary images to …
High-Precision Dynamic Traffic Noise Mapping Based on Road Surveillance Video
High-precision dynamic traffic noise maps can describe the spatial and temporal distributions of noise and are necessary for actual noise prevention. Existing monitoring point-based methods suffer from limited spatial adaptability, and prediction model-based methods are limited by the requirements for traffic and environmental parameter specifications. Road surveillance video data are effective for computing and analyzing dynamic traffic-related …
A Study of the Evolution of Haze Microblog Concerns Based on a Co-Word Network Analysis
Haze is a phenomenon caused by excessive PM2.5 (air-borne particulate matter having a diameter of fewer than 2.5 μm) and other pollutants and results from the interaction between specific climatic conditions and human activities. It significantly impacts human health, transportation, and the natural environment and has aroused widespread concern. However, the influence of haze on human mental health, being hidden and indirect, is often overlooked…
What can cartographers learn from artistic paintings when stylizing maps? A preliminary synthesis from the perspective of visual neuroscience
Mapping with a sense of place
Measuring intercity symbol permeation to reveal the spatial structures of cultural diffusion and absorption among cities
Transferring Accessible Colors from Images to Maps to Improve Accessibility for Users with Color Vision Deficiencies
Computer Science (7 works) · Artificial Intelligence (4 works) · Visualization (4 works) · Geographic Information Systems Studies (3 works) · Geography (3 works) · World Wide Web (3 works) · Aesthetic Perception and Analysis (2 works) · Color perception and design (2 works) · Constraint (computer-aided design (2 works) · Data mining (2 works)