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 ( 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.

A Study on how Humans Describe Relative Positions of Image Objects.- Perceptual Sketch Interpretation.- The Shape Cognition and Query Supported by Fourier Transform.- Classification of Landslide Susceptibility in the Development of Early Warning Systems.- Clusters in Aggregated Health Data.- Spatial Simulation of Agricultural Practices using a Robust Extension of Randomized Classification Tree Algorithms.- Impact of a Change of Support on the Assessment of Biodiversity with Shannon Entropy.- Implicit Spatial Information Extraction from Remote Sensing Images.- The Application of the Concept of Indicative Neighbourhood on Landsat ETM + Images and Orthophotos Using Circular and Annulus Kernels.- Sensitivity of the C-band SRTM DEM Vertical Accuracy to Terrain Characteristics and Spatial Resolution.- Improving the Reusability of Spatiotemporal Simulation Models: Using MDE to Implement Cellular Automata.- Support Vector Machines for Spatiotemporal Analysis in Geosensor Networks.- Toward a Method to Generally Describe Physical Spatial Processes.- A Data Model for Multi-scale Topographical Data.- An Interoperable Web Service Architecture to Provide Base Maps Empowered by Automated Generalisation.- Combining Three Multi-agent Based Generalisation Models: AGENT, CartACom and GAEL.- Implementation of Building Reconstruction Algorithm Using Real World LIDAR Data.- A New Approach for Mountain Areas Cartography.- Slope Accuracy and Path Planning on Compressed Terrain.- Processing 3D Geo-Information for Augmenting Georeferenced and Oriented Photographs with Text Labels.- Interactive Geovisualization and Geometric Modelling of 3D Data - A Case Study from the Åknes Rockslide Site, Norway.- FieldGML: An Alternative Representation For Fields.- Marine GIS: Progress in 3D Visualization for Dynamic GIS.- The IGN-E Case: Integrating Through a Hidden Ontology.- All Roads Lead to Rome ¿ Geospatial Modeling of Hungarian Street Names with Destination Reference.- Where is the Terraced House? On the Use of Ontologies for Recognition of Urban Concepts in Cartographic Databases.- Information Processes Produce Imperfections in DatäThe Information Infrastructure Compensates for Them.- Moving from Pixels to Parcels: the Use of Possibility Theory to Explore the Uncertainty Associated object Oriented Remote Sensing.- Data Matching ¿ a Matter of Belief.- Deriving Topological Relationships Between Simple Regions with Holes.- Spatial Rules Generate Urban Patterns: Emergence of the Small-World Network.- Conceptual Neighborhoods of Topological Relations Between Lines.- Spatial Support and Spatial Confidence for Spatial Association Rules.- A Primer of Picture-Aided Navigation in Mobile Systems.- Road Network Model for Vehicle Navigation using Traffic Direction Approach.- Clustering Algorithm for Network Constraint Trajectories.