Earth-based Framework for Analyzing and Exploring Spatio-temporal Data

Various frameworks are being developed to support geospatial data processing and exploration. However, these frameworks are insufficient due to their inability to support rapid development and reuse of existing geospatial operations. To cope with the difficulties that arise, more and more Web-based solutions are being implemented incorporating Web services and Open Geospatial Consortium (OGC)a standards for data interchange and distributed geo-processing. Although these solutions often target specific problems, they rarely can be extended by a third party. As a result, analysts are frequently required to implement additional software in order to complete their exploration process. In this paper, we present a unified, extensible framework that can solve generic spatio-temporal analysis tasks. Specifically, we present the prototype of a new framework that allows quick hypothesis definition and testing. The proposed framework, which we term GEO-SPADE, uses Google Earth as a primary visualization platform and data interchange system. Pluggable components can easily be integrated into the framework. We demonstrate the feasibility of the GEO-SPADE framework by following the scenario of analysis of travel sequences near Funchal, Madeira Island. ahttp://www.opengeospatial.org

[1]  Slava Kisilevich,et al.  Event-Based Analysis of People's Activities and Behavior Using Flickr and Panoramio Geotagged Photo Collections , 2010, 2010 14th International Conference Information Visualisation.

[2]  Slava Kisilevich,et al.  A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos , 2010, AGILE Conf..

[3]  Slava Kisilevich,et al.  Analysis of community-contributed space-and time-referenced data (example of Panoramio photos) , 2009, VMV.

[4]  Patrik Lundblad,et al.  Interactive Visualization of Weather and Ship Data , 2009, 2009 13th International Conference Information Visualisation.

[5]  Michela Bertolotto,et al.  Integrating Google Earth within OLAP Tools for Multidimensional Exploration and Analysis of Spatial Data , 2009, ICEIS.

[6]  T. Foerster,et al.  Integrating OGC Web Processing Services into Geospatial Mass-Market Applications , 2009, 2009 International Conference on Advanced Geographic Information Systems & Web Services.

[7]  Bastian Schäffer,et al.  A client for distributed geo-processing and workflow design , 2008, J. Locat. Based Serv..

[8]  Sara Irina Fabrikant,et al.  Geovisualization of Dynamics, Movement and Change: Key Issues and Developing Approaches in Visualization Research , 2008, Inf. Vis..

[9]  Josep Blat,et al.  Leveraging explicitly disclosed location information to understand tourist dynamics: a case study , 2008, J. Locat. Based Serv..

[10]  Nicole Ostländer,et al.  Designing Service Architectures for Distributed Geoprocessing: Challenges and Future Directions , 2007, Trans. GIS.

[11]  Keith C. Clarke,et al.  Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup. , 2007, IEEE Transactions on Visualization and Computer Graphics.

[12]  Michela Bertolotto,et al.  Exploratory spatio-temporal data mining and visualization , 2007, J. Vis. Lang. Comput..

[13]  T. Foerster,et al.  Towards a research agenda for geoprocessing services , 2009 .

[14]  Jason Dykes,et al.  The Visual Exploration of Insurance Data in Google Earth , 2008 .

[15]  Johannes Brauner,et al.  Integration of GRASS Functionality in Web based SDI Service Chains , 2008 .

[16]  Alan M. MacEachren,et al.  An Open GeoSpatial Standards-Enabled Google Earth Application to Support Crisis Management , 2007 .

[17]  M. Wachowicz,et al.  Land use change explorer : a tool for geographic knowledge discovery , 2002 .

[18]  Roy Fielding,et al.  Architectural Styles and the Design of Network-based Software Architectures"; Doctoral dissertation , 2000 .