STUDY ON THE SHORTEST PATH ALGORITHM IN LAND TRADE SAMPLE GRADING METHOD BASED ON CIS
In the developed areas where there are rich samples of land trading, the trading land information can reflect the conditions of location, social economy and the supply and demand of land market properly. The expressive force of the differences between land quality and relations among land locations is strong. Therefore, we can evaluate land value according to the trading samples. Compared with the multi-factors integrated grading method, the land grading method based on trading samples is simpler and more feasible. This method usually has two modes of interpolation algorithm: the spatial interpolation algorithm and the mobile trend surface interpolation algorithm. These interpolation algorithms ignore die effect of obstructions for land price. Generally, we take the distance of space as the arithmetic operators instead of the road network distance. However, in space of land price, the distribution of land price is not even because of the obstruction. It is more reasonable to use the road network distance than to use the spatial distance in land grading. In this paper, we develop the interpolation algorithm and present the shortest path algorithm. Based on the computer and GIS technologies, we discuss the key issues of dealing with the blocking feature and realizing the shortest path algorithm in land trade sample grading method. This algorithm solves the blocking feature issue. The test results show that this interpolation algorithm adopted shortest path is more reasonable than another interpolation algorithm, and prove that the land grading method based on the shortest path is feasible and practical.Abstracts:
Land grading Land pricej Shortest path algorithm Interpolation Geographical Information System (GIS)
Xiao-hong WANG Xiao DU Xiao-xiong YANG
School of Resources & Environment Science, Wuhan University, Wuhan, 430079, China;School of Forestry Institute of Remote Sensing Application, Chinese academy of Sciences. Beijing, 100101, China School of Resources & Environment Science, Wuhan University, Wuhan, 430079, China;Guangxi Teachers E
国际会议
5th International Conference on e-Engineering & Digital Enterprise Technology(第5届e工程及数字企业国际学术会议)
贵阳
英文
231-235
2006-08-16（万方平台首次上网日期，不代表论文的发表时间）