Title :
Spatial range expression method of geographical entity with uncertain boundary
Author :
Ma, Leilei ; Li, Hongwei ; Li, Li ; Chen, Hu ; Liang, Rupeng
Author_Institution :
Inst. of Surveying & Mapping, Inf. Eng. Univ., Zhengzhou, China
Abstract :
In commonsense geographical cognition, people adopt qualitative methods to express geographical phenomenon in natural language. But it lacks quantitative approximate expression by this way, so could not describe the geographical entity with uncertain boundary. In daily life, people can ascertain one uncertain geographical entity´s position through an anchor point, but cannot explain its certain geography boundary range. In this paper, we have made an experiment on the mountain features of 1:250000 topographic map data, adopting three different methods: Human-computer interaction technology, Irregular buffer analysis and Voronoi diagram to measure the mountain´s approximate range. Then we discussed the feasibility of each method. Finally we realized the function of overlay analysis with the three range image. When we used different scale topographic map, we could find different results. The results indicated that the boundary created by our methods could reflect whether people´s commonsense geography cognition was right or wrong to some degree.
Keywords :
computational geometry; geography; spatial variables measurement; topography (Earth); Voronoi diagram; commonsense geography cognition; geographical cognition; geographical entity; geographical phenomenon; geography boundary range; human-computer interaction technology; irregular buffer analysis; mountain approximate range measurement; mountain features; spatial range expression method; topographic map data; uncertain boundary; Algorithm design and analysis; Cognition; Foot; Geographic Information Systems; Geography; Human computer interaction; Presses; Human-computer interaction; Voronoi diagram; buffer; cognition; fuzzy; geographical entity;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5980678