Spatial Similarity Relations in Multi-scale Map Spaces

Dr. Haowen Yan obtained his Bachelor's, Master's, and Doctor's degrees in Cartography and Geographic Information Engineering from Wuhan University, China. He has worked at the Hong Kong Polytechnic University as a research assistant, at the University of Zurich as a senior researcher, and at the University of Waterloo as a research fellow. He is currently a visiting professor at the University of Waterloo and professor of Geomatics in the Lanzhou Jiaotong University, China. Jonathan Li is a professor at the Department of Geography and Environmental Management at the University of Waterloo. Dr. Li's research interests are mainly in the areas of remote sensing and geographic information science, including high-resolution satellite mapping, airborne and terrestrial mobile LIDAR mapping, earth observation of global change, remote sensing of inland and coastal waters, remote sensing of renewable energy potential, mapping of climate-induced hazards, Internet GIS and Web Mapping, Terrain Analysis in Hydrogeography, geospatial sensor network, and geospatial information technologies for emergency response and disaster management.

Preface.- Introduction.- Literature Review and Analysis.- Concepts of Spatial Similarity Relations in Multi-scale Map Spaces.- Models for Calculating Spatial Similarity Degrees in Multi-scale Map Spaces.- Model Validations.- Applications of Spatial Similarity Relations in Map Generalization.- Conclusions.- Appendix.