Advances in Spatio-Temporal AnalysisXinming 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 |
From inside the book
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... Data Mining and Data Fusion(STM'05) which took place from 27 to 29 August 2005 in Beijing, China. STM'05 was a joint workshop of ISPRS WGII/1,2,7 and WG VII/6, providing an interdisciplinary forum for international scientists and ...
... Data Mining and Data Fusion(STM'05) which took place from 27 to 29 August 2005 in Beijing, China. STM'05 was a joint workshop of ISPRS WGII/1,2,7 and WG VII/6, providing an interdisciplinary forum for international scientists and ...
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... data mining and data fusion (STM'05), held from 27 to 29 August 2005 at Peking University, China. The background to this workshop is presented and the developments in spatial modelling, spatio-temporal modelling, spatiotemporal analysis ...
... data mining and data fusion (STM'05), held from 27 to 29 August 2005 at Peking University, China. The background to this workshop is presented and the developments in spatial modelling, spatio-temporal modelling, spatiotemporal analysis ...
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... data mining are briefly reviewed and the contents of the book are introduced. 1. BACKGROUND. The advances in geographical information systems have increased rapidly since the subject first appeared in the 1960s. This subject has now ...
... data mining are briefly reviewed and the contents of the book are introduced. 1. BACKGROUND. The advances in geographical information systems have increased rapidly since the subject first appeared in the 1960s. This subject has now ...
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... data mining form an organic whole of broad spatio-temporal analysis. Each section includes a short review and an introduction to each paper. Spatial modelling is the basis for spatio-temporal modelling and analysis, while spatial ...
... data mining form an organic whole of broad spatio-temporal analysis. Each section includes a short review and an introduction to each paper. Spatial modelling is the basis for spatio-temporal modelling and analysis, while spatial ...
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... data mining. 2. SPATIAL. MODELLING. The essence of spatio-temporal modelling is the extension of spatial modelling with time. A better understanding of “spatial” facilitates this extension. On the way from “spatial” to “spatio-temporal ...
... data mining. 2. SPATIAL. MODELLING. The essence of spatio-temporal modelling is the extension of spatial modelling with time. A better understanding of “spatial” facilitates this extension. On the way from “spatial” to “spatio-temporal ...
Contents
Section 25 | 57 |
Section 26 | 57 |
Section 27 | 59 |
Section 28 | 7 |
Section 29 | 15 |
Section 30 | 29 |
Section 31 | 40 |
Section 32 | 226 |
Section 9 | |
Section 10 | |
Section 11 | 9 |
Section 12 | 9 |
Section 13 | 9 |
Section 14 | 9 |
Section 15 | 9 |
Section 16 | 9 |
Section 17 | 9 |
Section 18 | 9 |
Section 19 | 24 |
Section 20 | 54 |
Section 21 | 57 |
Section 22 | 57 |
Section 23 | 57 |
Section 24 | 57 |
Section 33 | 242 |
Section 34 | 254 |
Section 35 | 259 |
Section 36 | 265 |
Section 37 | 267 |
Section 38 | 269 |
Section 39 | 273 |
Section 40 | 291 |
Section 41 | 307 |
Section 42 | 312 |
Section 43 | 322 |
Section 44 | 323 |
Section 45 | 3 |
Section 46 | 10 |
Section 47 | 16 |
Other editions - View all
Advances in Spatio-Temporal Analysis Xinming Tang,Yaolin Liu,Jixian Zhang,Wolfgang Kainz Limited preview - 2007 |
Advances in Spatio-Temporal Analysis Xinming Tang,Yaolin Liu,Wolfgang Kainz,Jixian Zhang No preview available - 2018 |
Advances in Spatio-Temporal Analysis Xinming Tang,Yaolin Liu,Jixian Zhang,Wolfgang Kainz No preview available - 2007 |
Common terms and phrases
ADCF Advances in Spatio-Temporal application attributes Beijing BP network calculated China classification cloud model clustering Computer cultivated land demand data mining data types datasets defined discrete space dynamic continuous field E_NE E_NW E_SE E_SW Egenhofer error Figure flou set Fujian function fuzzy region Gaussian function genetic algorithm Geographic Information Systems Geographical Information Science geological global grid groundwater hexagonal ICD relations input integration intersection layer method neural network nodes North China Plain operations paper Peking University polygon pr pr qualitative distance query remote sensing represent representation rules samples SDMKD snapshot Space Syntax Space Syntax theory spatial data mining spatial databases spatial objects spatio Spatio-Temporal Analysis spatio-temporal changes spatio-temporal data model spatio-temporal indexing spherical Voronoi diagram Table Taylor & Francis techniques temporal topological relations topological relationships triangles unified spatio-temporal data users visualization Voronoi diagram Wang Wuhan University