Headway In Spatial Data Handling

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Headway in Spatial Data Handling

Author: Anne Ruas
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-08-09
Geographic information is a key element for our modern society. Put s- ply, it is information whose spatial (and often temporal) location is fun- mental to its value, and this distinguishes it from many other types of data, and analysis. For sustainable development, climate change or more simply resource sharing and economic development, this information helps to - cilitate human activities and to foresee the impact of these activities in space as well as, inversely, the impact of space on our lives. The Inter- tional Symposium on Spatial Data Handing (SDH) is a primary research forum where questions related to spatial and temporal modelling and analysis, data integration, visual representation or semantics are raised. The first symposium commenced in 1984 in Zurich and has since been organised every two years under the umbrella of the International Geographical Union Commission on Geographical Information Science (http://www. igugis. org). Over the last 28 years, the Symposium has been held in: st 1 - Zürich, 1984 nd 2 - Seattle, 1986 rd 3 - Sydney, 1988 th 4 - Zurich, 1990 th 5 - Charleston, 1992 th 6 - Edinburgh, 1994 th 7 - Delft, 1996 th 8 - Vancouver, 1998 th 9 - Beijing, 2000 th 10 - Ottawa, 2002 th 11 - Leicester, 2004 th 12 - Vienna, 2006 th This book is the proceedings of the 13 International Symposium on Spatial Data Handling.
Advances in Spatial Data Handling

Author: Sabine Timpf
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-11-02
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.
Methods for Handling Imperfect Spatial Information

Spatial information is pervaded by uncertainty. Indeed, geographical data is often obtained by an imperfect interpretation of remote sensing images, while people attach ill-defined or ambiguous labels to places and their properties. As another example, medical images are often the result of measurements by imprecise sensors (e.g. MRI scans). Moreover, by processing spatial information in real-world applications, additional uncertainty is introduced, e.g. due to the use of interpolation/extrapolation techniques or to conflicts that are detected in an information fusion step. To the best of our knowledge, this book presents the first overview of spatial uncertainty which goes beyond the setting of geographical information systems. Uncertainty issues are especially addressed from a representation and reasoning point of view. In particular, the book consists of 14 chapters, which are clustered around three central topics. The first of these topics is about the uncertainty in meaning of linguistic descriptions of spatial scenes. Second, the issue of reasoning about spatial relations and dealing with inconsistency in information merging is studied. Finally, interpolation and prediction of spatial phenomena are investigated, both at the methodological level and from an application-oriented perspective. The concept of uncertainty by itself is understood in a broad sense, including both quantitative and more qualitative approaches, dealing with variability, epistemic uncertainty, as well as with vagueness of terms.