Approach to Calculating Spatial Similarity Degrees of Road Networks in Multi-scale Map Spaces
ISBN 978-85-88783-11-9
Authors
1Yan, H.; 2Li, J.; 3Shen, Y.; 4Yang, W.; 5Zhang, L.
1LANZHOU JIAOTONG UNIVERSITY Email: haowen2010@gmail.com
2DEPARTMENT OF GEOGRAPHY & ENVIRONMENTAL MANAGEMENT, UNIVERSI Email: jli@uwaterloo.ca
3DEPARTMENT OF MODELING, SIMULATION & VISUALIZATION ENGINEERI Email: haowen2010@gmail.com
4LANZHOU JIAOTONG UNIVERSITY Email: w38yang@uwaterloo.ca
5LANZHOU JIAOTONG UNIVERSITY Email: zhanglm8@gmail.com
Abstract
Spatial similarity degree plays an important part in the fully automation of map generalization; however, its quantitative description has not been solved yet. Thus, this paper proposes a formula for calculating spatial similarity degrees of road networks in multi-scale map spaces. It firstly defines spatial similarity degree in multi-scale map spaces. Secondly, it constructs an approach to calculating spatial similarity degrees between road networks on maps at different scales. Then it validates the approach and obtains a number of points by a psychological experiment using some representative road networks at multiple scales. After this, it forms a formula for calculating spatial similarity degrees by map scale changes of road networks using the points from the experiment. The formula can be used to improve the automation ability of road network generalization.