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Proceedings Paper

Color on emergency mapping
Author(s): Lili Jiang; Qingwen Qi; An Zhang
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Paper Abstract

There are so many emergency issues in our daily life. Such as typhoons, tsunamis, earthquake, fires, floods, epidemics, etc. These emergencies made people lose their lives and their belongings. Every day, every hour, even every minute people probably face the emergency, so how to handle it and how to decrease its hurt are the matters people care most. If we can map it exactly before or after the emergencies; it will be helpful to the emergency researchers and people who live in the emergency place. So , through the emergency map, before emergency is occurring we can predict the situation, such as when and where the emergency will be happen; where people can refuge, etc. After disaster, we can also easily assess the lost, discuss the cause and make the lost less. The primary effect of mapping is offering information to the people who care about the emergency and the researcher who want to study it. Mapping allows the viewers to get a spatial sense of hazard. It can also provide the clues to study the relationship of the phenomenon in emergency. Color, as the basic element of the map, it can simplify and clarify the phenomenon. Color can also affects the general perceptibility of the map, and elicits subjective reactions to the map. It is to say, structure, readability, and the reader's psychological reactions can be affected by the use of color.

Paper Details

Date Published: 1 August 2007
PDF: 9 pages
Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 675104 (1 August 2007); doi: 10.1117/12.759475
Show Author Affiliations
Lili Jiang, Institute of Geographical Sciences and Natural Resources Research (China)
Graduate School of the Chinese Academy of Sciences (China)
Qingwen Qi, Institute of Geographical Sciences and Natural Resources Research (China)
An Zhang, Institute of Geographical Sciences and Natural Resources Research (China)
Graduate School of the Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 6751:
Geoinformatics 2007: Cartographic Theory and Models

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