Maps and Graphics for Blind and Partially Sighted People
Mapping for Visual Impairments
Map, as the carrier and transmission medium of spatial information, is an indispensable tool in our daily work and life. Color, as an important part of the map language, is a critical element in map design. Due to the color recognition barrier, the color blindness had difficulty distinguishing some colors when reading a normal map. They may even misunderstand the information conveyed through map color. According to the documents, due to the genetic inheritance, color blindness consist of 8% of the total population in the world, with the majority of them are red-green color blindness .Therefore, It is significant to take into account the feeling of red-green color blindness, explore and design a readable map based on the principles and methods of designing the map for red-green color blindness, based on their visual characteristics. This paper takes the city tourist map as the experimental sample, explore the expression of the quality characteristics of the cartographic features and study the map design methods for red-green color blindness.
Firstly, we analyzed in depth the content, express method and characteristics of the tourist map which is full of abundant tourist attractions、IPO and traffic network information. The street block is expressed as the geographical background on the map. There are a lot of point symbols, lines symbols and area symbols on the map, which are composed of basic visual variables such as shape, color, size, lightness, text, direction, structure and location, or combinations of basic visual variables. The color of symbols is one of major visual variables that characterize the nature of feature.
Then we analysis of the color confusion situation when red -green color blindness reading a normal tourist map through the software simulation and the reading test of the red-green color blindness, according to the color vision characteristics of the red-green color blindness.
On the basis of the above, this paper takes the city tourist map of Beijing as the experimental sample, test on the color design of the point symbols, line symbols, area symbols and annotations. Following the characteristics of red-green color blindness and the basic principles of the map color design, we explored and studied the coloring rules and methods that red -green color blindness could read clearly, then designed and produced the Beijing City Tourist Map for red-green color blindness.
The experimental sample was validated by voluntary tests. According to the test results on the sample, the Beijing City Tourist Map was modified and improve.
Finally, we summarized the basic principles and methods of map color design for red-Green color blindness.
Key words: Map color design, Red-green color blindness, city tourist map
Haihong Zhu , received the Ph.D. degree in Geographic information system from Wuhan university in 2013. From September 2009 to September, 2010, she was a visiting scholar at Ohio State University, USA. She is now a Associate professor at the School of Resource and Environmental Sciences, Wuhan University, China. Her research interest includes Cartography、geo-ontology, applications of ZY-3 image data.
Lin Li received the Ph.D. degree in Photogrammetry and Remote Sensing from Wuhan Technical University of Surveying and Mapping, in 1997. From July, 1998 to March, 2002, he was a guest research and guest associate professor with the University of Tokyo, Japan. He is now a professor and the director of Department of Geographic Information Science, School of Resource and Environmental Sciences, Wuhan University, China.
His research interest includes 3D data modeling and cadastre, geo-ontology, cartographic modeling, applications of ZY-3 image data, and mobile geo-information service.
Monday, July 3
2:10 PM – 2:30 PM
Zheng Wei Luo Ph.d candidate. Major is Cartography.
university of oregon
Amy Lobben is a professor in the department of geography at the university of oregon. She received her PhD in geography from mighigan state university. Her primary research and teaching interests lie in neurogeography, geospatial cognition, and accessibility. She co-runs the Spatial Computation, Cognition, and Complexity Lab and the Map by NorthWest (MxNW) group with colleague Chris Bone.
Monday, July 3
2:50 PM – 3:10 PM
Monday, July 3
4:10 PM – 4:30 PM
Monday, July 3
4:50 PM – 5:10 PM
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