Advances in Spatio-Temporal Analysis

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Xinming Tang, Yaolin Liu, Jixian Zhang, Wolfgang Kainz
CRC Press, 2007 M08 23 - 250 pages
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 Infor

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Contents

An introduction
1
Spatial modelling
9
An integrated model for topology and qualitative distance in discrete space
11
Boolean operations on triangulated solids and their applications in 3D geological modelling
21
Towards uncertaintybased geographic information science theories of modelling uncertainties in spatial analyses
29
The expression of spherical entities and generation of voronoi diagrams based on truncated icosahedron DGG
41
A fuzzy spatial region model based on flou set
51
Spatiotemporal modelling
59
Spatiotemporal analysis
123
Interfacing GIS with a processbased agroecosystem model Case study North China Plain
125
An activitybased spatiotemporal data model for epidemic transmission analysis
135
Visual exploration of time series of remote sensing data
147
Time series analysis of land cover change The National Carbon Accounting System trial in Fujian province China
155
3D modelling of groundwater based on volume visualization technology
163
Spatial reasoning and data mining
171
Spatial data mining and knowledge discovery
173

A spatial database extension of analytical fields representing dynamic and continuous phenomena
61
Design and implementation of a unified spatiotemporal data model
67
Spatiotemporal indexing mechanism based on snapshotincrement
77
Temporal topological relationships of convex spaces in Space Syntax theory
85
An approach based on versiondifference
101
An algebra for moving objects
111
Genetic neural network based data mining and its application in police case analysis
193
Qualitative spatial reasoning about Internal Cardinal Direction relations
203
Data mining technology in predicting the demand for cultivated land
217
Statistical data mining for NFGIS database content refinement
227
Author index
239
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About the author (2007)

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.

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