Advances in Spatio-Temporal Analysis: (ISPRS Book Series)

Developments in Geographic Information Technology have raised the expectations of users. A static map is no longer enough; there is now demand for a dynamic representation. Time is of great importance when operating on real world geographical phenomena, especially when these are dynamic. Researchers in the field of Temporal Geographical Information Systems (TGIS) have been developing methods of incorporating time into geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining. Advances in Spatio-Temporal Analysis contributes to the field of spatio-temporal analysis, presenting innovative ideas and examples that reflect current progress and achievements.

Table of Contents:
Advances in spatio-temporal analysis: An introduction Xinming Tang, Yaolin Liu, Jixian Zhang & Wolfgang Kainz Spatial modelling An integrated model for topology and qualitative distance in discrete space Jianhua He &Yaolin Liu Boolean operations on triangulated solids and their applications in 3D geological modelling Honggang Qu, Mao Pan, Bin Wang,Yong Wang & Zhangang Wang Towards uncertainty-based geographic information science – theories of modelling uncertainties in spatial analyses Wenzhong Shi The expression of spherical entities and generation of voronoi diagrams based on truncated icosahedron DGG Xiaochong Tong, Jin Ben, Yongsheng Zhang & Li Meng A fuzzy spatial region model based on flou set Qiangyuan Yu, Dayou Liu & Jianzhong Chen Spatio-temporal modelling A spatial database extension of analytical fields representing dynamic and continuous phenomena Bin Chen, Fengru Huang &Yu Fang Design and implementation of a unified spatio-temporal data model Peiquan Jin, Lihua Yue &Yuchang Gong Spatio-temporal indexing mechanism based on snapshot-increment Lin Li, Zhangcai Yin & Haihong Zhu Temporal topological relationships of convex spaces in space syntax theory Hani Rezayan, Farid Karimipour, Mahmoud R. Delavar & Andrew U. Frank Spatio-temporal data model: An approach based on version-difference Huibing Wang, Xinming Tang, Bing Lei & Liang Zhai An algebra for moving objects Shengsheng Wang, Dayou Liu, Jie Liu & Xinying Wang Spatio-temporal analysis Interfacing GIS with a process-based agro-ecosystem model – Case study North China Plain Georg Bareth & Zhenrong Yu An activity-based spatio-temporal data model for epidemic transmission analysis Tao Cheng, Zhilin Li & Jianhua Gong Visual exploration of time series of remote sensing data Ulanbek D. Turdukulov, Menno J. Kraak & Valentyn Tolpekin Time series analysis of land cover change – The National Carbon Accounting System trial in Fujian province, China Xiaoliang Wu, Peter Caccetta, Suzanne Furby, Jeremy Wallace & Min Zhu 3D modelling of groundwater based on volume visualization technology Zhiyong Xu, Xiaofang Wu, Guorui Zhu & HuiwuYan Spatial reasoning and data mining Spatial data mining and knowledge discovery Deren Li & Shuliang Wang Genetic neural network based data mining and its application in police case analysis Hanli Liu, Lin Li & Haihong Zhu Qualitative spatial reasoning about Internal Cardinal Direction relations Yu Liu,Yi Zhang, Xiaoming Wang & Xin Jin Data mining technology in predicting the demand for cultivated land Zuohua Miao &Yaolin Liu Statistical data mining for nfgis database content refinement Liang Zhai, Xinming Tang, Lan Wu & Lin Li

About the Author :
Prof. Xinming Tang is Deputy Director of the Key Laboratory of Geo-informatics of the State Bureau of Surveying and Mapping, Chinese Academy of Surveying and Mapping of China. He is currently serving as Chair of the ISPRS WG II/1(2004–2008). His research interests cover fuzzy GIS, Temporal GIS, land cover and land utilization, national fundamental GIS and Remote Sensing. Prof. Yaolin Liu is Dean of the School of Resource and Environmental Science, Wuhan University, China. He is currently Chair of the ISPRS WG II/2(2004–2008). His research interests include urban environment, land management and cadastre, land use planning, land information systems, urban information systems and database generalization. Prof. Jixian Zhang is President of Chinese Academy of Surveying and Mapping, China. He is currently serving as Chair of the ISPRS WG VII/6(2004–2008). His research interests are remote sensing data processing, satellite photogrammetry, image recognition and geographic information system. Prof. Wolfgang Kainz is professor at the Department of Geography and Regional Research, University of Vienna, Austria. He is currently President of the ISPRS TC II (2004–2008). His research interests include spatial decision support systems, spatial data handling, spatial data uncertainty, cartographic modelling and visualization.

Review :
"... each paper contains interesting ideas on its own, and readers may be able to make connections from their unique perspectives. ... the book fills the void of strong emphases on formalization and logic models." - May Yuan, College of Atmospheric and Geographic Sciences, University of Oklahoma in Photogrammetric Engineering & Remote Sensing, Vol. 75, No. 3, March 2009 "This is a book for the TGIS specialist, or for someone intent on becoming one. In short, this book is dense but thorough." - The Photogrammetric Record 24(125): 103 (March 2009)