โ Scribed by Tang X. (Ed), Kainz W. (Ed)
No coin nor oath required. For personal study only.
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 modeling, spatio-temporal modeling, 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.
Book Cover......Page 1
TItle......Page 4
Copyright......Page 5
Contents......Page 6
Preface......Page 8
Contributors......Page 10
Advances in spatio-temporal analysis: An introduction......Page 14
Spatial modelling......Page 22
An integrated model for topology and qualitative distance in discrete space......Page 24
Boolean operations on triangulated solids and their applications in 3D geological modelling......Page 34
Towards uncertainty-based geographic information science โ theories of modelling uncertainties in spatial analyses......Page 42
The expression of spherical entities and generation of voronoi diagrams based on truncated icosahedron DGG......Page 54
A fuzzy spatial region model based on flou set......Page 64
Spatio-temporal modelling......Page 72
A spatial database extension of analytical fields representing dynamic and continuous phenomena*......Page 74
Design and implementation of a unified spatio-temporal data model......Page 80
Spatio-temporal indexing mechanism based on snapshot-increment......Page 90
Temporal topological relationships of convex spaces in Space Syntax theory......Page 98
Spatio-temporal data model: An approach based on version-difference.......Page 114
An algebra for moving objects......Page 124
Spatio-temporal analysis......Page 136
Interfacing GIS with a process-based agro-ecosystem model โ Case study North China Plain......Page 138
An activity-based spatio-temporal data model for epidemic transmission analysis......Page 148
Visual exploration of time series of remote sensing data......Page 160
Time series analysis of land cover change โ The National Carbon Accounting System trial in Fujian province, China......Page 168
3D modelling of groundwater based on volume visualization technology......Page 176
Spatial reasoning and data mining......Page 184
Spatial data mining and knowledge discovery......Page 186
Genetic neural network based data mining and its application in police case analysis......Page 206
Qualitative spatial reasoning about Internal Cardinal Direction relations......Page 216
Data mining technology in predicting the demand for cultivated land......Page 230
Statistical data mining for NFGIS database content refinement......Page 240
Author index......Page 252
๐ SIMILAR VOLUMES
<p><b>A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods.</b></p><p><i>Spatio-temporal Design </i>presents a comprehensive state-of-the-art presentation combining both clas
<p>This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems f
This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.<br />Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to
<p><p>This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. The authors discuss in the first part of this book, the semantic aspects of spatio-temporal graph data in two application domains, viz., urban tra
This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. The authors discuss in the first part of this book, the semantic aspects of spatio-temporal graph data in two application domains, viz., urban transport