Advances in Spatial Data Handling: Geospatial Dynamics, Geosimulation and Exploratory Visualization

Author:   Sabine Timpf ,  Patrick Laube
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2013 ed.
ISBN:  

9783642323157


Pages:   221
Publication Date:   02 November 2012
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Advances in Spatial Data Handling: Geospatial Dynamics, Geosimulation and Exploratory Visualization


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Overview

This volume is based on the reviewed and edited proceedings of the International Symposium on Spatial Data Handling 2012, held in Bonn. The 15th SDH brought together scholars and professionals from the international GIScience community to present the latest research achievements and to share experiences in Geospatial dynamics, geosimulation and exploratory visualization.

Full Product Details

Author:   Sabine Timpf ,  Patrick Laube
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   4.794kg
ISBN:  

9783642323157


ISBN 10:   3642323154
Pages:   221
Publication Date:   02 November 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Modeling and Analysis of Movement Data.- Geosimulation.- Spatiotemporal Data Structures and Algorithms.- Spatiotemporal Modeling and Analysis.- Modeling Spatial Dynamics.- Spatial Process Models.- Location-Based Services.- User-Generated Conten.- Geospatial Data Integration.- Spatio-temporal Information Acquisition.- Geosensor networks.- Multi-scalar Modeling and Analysis.- Geographic Information Retrieval and Dissemination.- Geographic knowledge discovery and data mining.- Spatial Decision Support Systems.- Spatial Data Mining.- Spatial Data Quality and Uncertainty.- Visual Analytics.- Exploratory Visualization of spatiotemporal data.

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