Abstract
Geographic Information Systems (GIS) handle a wide range of problems that involve spatial distribution data from fields as diverse as housing, healthcare, transportation, cartography, criminology, and many others. Selecting the right GIS is determined by the task the user wishes to perform. Some considerations may include the availability of analytical functions, performance, ease of use, interoperability, extensibility, etc. Nowadays, as positioning technology proliferates and affects almost all aspects of our lives, GIS tools have become more and more complex as researchers seek to address and implement, respectively, new spatial tasks and techniques. Due to the rapid growth of GIS in recent years, many provide APIs for extending their software for specific needs. But learning a complex set of API functions, is not feasible in scenarios that demand rapid prototyping like in academic research or when the tool is supposed to be used by non-professionals. In this paper, we present three case studies that are performed on top of a GEO-SPADE, a Google Earth-based .NET-based framework that we developed. Unlike the typical APIs, that may often contain more than hundred or thousand of functions from different logical layers, the GEO-SPADE framework provides only the minimal set of functions for plug-in development, networking, and visualization using Google Earth engine. The extended functionality is provided by the developer and depends on her knowledge of the underlying language. At the same time, the ease of use is achieved by the functionality of Google Earth. The three presented case studies showcase the applicability of the Google Earth-based framework in different domains with different analytical tasks (spatial analysis, spatial exploration, and spatial decision support).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Peters, D.: Building a GIS: System Architecture Design Strategies for Managers. ESRI Press (2008)
Friis-Christensen, A., Ostlander, N., Lutz, M., Bernard, L.: Designing service architectures for distributed geoprocessing: Challenges and future directions. Transactions in GIS 11(6), 799 (2007)
Diaz, L., Granel, C., Gould, M., Olaya, V.: An open service network for geospatial data processing. In: An Open Service Network for Geospatial Data Processing: Free and Open Source Software for Geospatial (FOSS4G) Conference (2008)
Schaeffer, B., Foerster, T.: A client for distributed geo-processing and workflow design. Location Based Services Journal 2(3), 194–210 (2008)
Foerster, T., Schaeffer, B., Brauner, J., Jirka, S., Muenster, G.: Integrating ogc web processing services into geospatial mass-market applications. In: International Conference on Advanced Geographic Information Systems & Web Services, pp. 99–103 (2009)
Andrienko, G., Andrienko, N., Dykes, J., Fabrikant, S., Wachowicz, M.: Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research. Information Visualization 7(3), 173–180 (2008)
Grossner, K.E.: Is google earth, “digital earth?” - defining a vision. University Consortium of Geographic Information Science, Summer Assembly, Vancouver, WA (2006)
Patterson, T.C.: Google Earth as a (not just) geography education tool. Journal of Geography 106(4), 145–152 (2007)
Goodchild, M.: The use cases of digital earth. International Journal of Digital Earth 1(1), 31–42 (2008)
Sheppard, S., Cizek, P.: The ethics of Google Earth: Crossing thresholds from spatial data to landscape visualisation. Journal of Environmental Management 90(6), 2102–2117 (2009)
Farman, J.: Mapping the digital empire: Google Earth and the process of postmodern cartography. New Media & Society 12(6), 869–888 (2010)
Smith, T., Lakshmanan, V.: Utilizing google earth as a gis platform for weather applications. In: 22nd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, Atlanta, GA, January 29-February 2 (2006)
Wood, J., Dykes, J., Slingsby, A., Clarke, K.: Interactive visual exploration of a large spatio-temporal dataset: Reflections on a geovisualization mashup. IEEE Transactions on Visualization and Computer Graphics 13(6), 1176 (2007)
Compieta, P., Di Martino, S., Bertolotto, M., Ferrucci, F., Kechadi, T.: Exploratory spatio-temporal data mining and visualization. Journal of Visual Languages and Computing 18(3), 255–279 (2007)
Slingsby, A., Dykes, J., Wood, J., Foote, M., Blom, M.: The visual exploration of insurance data in google earth. In: Proceedings of Geographical Information Systems Research UK (GISRUK), pp. 24–32 (2008)
Pezanowski, S., Tomaszewski, B., MacEachren, A.: An open geospatial standards-enabled google earth application to support crisis management. Geomatics Solutions for Disaster Management, 225–238 (2007)
Di Martino, S., Bimonte, S., Bertolotto, M., Ferrucci, F.: Integrating google earth within olap tools for multidimensional exploration and analysis of spatial data. In: Proceedings of the 11th International Conference on Enterprise Information Systems, pp. 940–951 (2009)
Stensgaard, A., Saarnak, C., Utzinger, J., Vounatsou, P., Simoonga, C., Mushinge, G., Rahbek, C., Møhlenberg, F., Kristensen, T.: Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases. Geospatial Health 3(2), 127–141 (2009)
Kisilevich, S., Keim, D., Rokach, L.: Geo-spade: A generic google earth-based framework for analyzing and exploring spatio-temporal data. In: 12th International Conference on Enterprise Information Systems, pp. 13–20 (2010)
Kisilevich, S., Keim, D., Rokach, L.: A novel approach to mining travel sequences using collections of geo-tagged photos. In: The 13th AGILE International Conference on Geographic Information Science, pp. 163–182 (2010)
Kisilevich, S., Krstajic, M., Keim, D., Andrienko, N., Andrienko, G.: Event-based analysis of people’s activities and behavior using flickr and panoramio geo-tagged photo collections. In: The 14th International Conference Information Visualization, pp. 289–296 (2010)
Kisilevich, S., Rohrdantz, C., Keim, D.: “beautiful picture of an ugly place”. exploring photo collections using opinion and sentiment analysis of user comments. In: Computational Linguistics & Applications, CLA 2010 (2010)
Graupmann, J., Schenkel, R.: GeoSphere-Search: Context-Aware Geographic Web Search. In: 3rd Workshop on Geographic Information Retrieval (2006)
Ferraz, V.R.T., Santos, M.T.P.: Globeolap: Improving the geospatial realism in multidimensional analysis environment. In: 12th International Conference on Enterprise Information Systems, pp. 99–107 (2010)
Wachowicz, M., Ying, X., Ligtenberg, A., Ur, W.: Land use change explorer: A tool for geographic knowledge discovery. In: Anseling, L., Rey, S.J. (eds.) New Tools for Spatial Data Analysis, Proceedings of the CSISS Specialist Meeting (2002)
Lundblad, P., Eurenius, O., Heldring, T.: Interactive visualization of weather and ship data. In: Proceedings of the 13th International Conference Information Visualisation, Washington, DC, USA, pp. 379–386. IEEE Computer Society, Los Alamitos (2009)
Rigoutsos, I., Floratos, A.: Combinatorial pattern discovery in biological sequences: the TEIRESIAS algorithm. Bioinformatics-Oxford 14(1), 55–67 (1998)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.: The WEKA data mining software: An update. ACM SIGKDD Explorations Newsletter 11(1), 10–18 (2009)
Ester, M., Kriegel, H., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proc. KDD, vol. 96, pp. 226–231 (1996)
Girardin, F., Fiore, F.D., Ratti, C., Blat, J.: Leveraging explicitly disclosed location information to understand tourist dynamics: a case study. Jouranl of Location Based Services 2(1), 41–56 (2008)
Andrienko, G., Andrienko, N., Bak, P., Kisilevich, S., Keim, D.: Analysis of community-contributed space-and time-referenced data (example of panoramio photos). In: GIS 2009: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 540–541 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kisilevich, S., Keim, D., Lasry, A., Bam, L., Rokach, L. (2011). Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies. In: Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2010. Lecture Notes in Business Information Processing, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19802-1_34
Download citation
DOI: https://doi.org/10.1007/978-3-642-19802-1_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19801-4
Online ISBN: 978-3-642-19802-1
eBook Packages: Computer ScienceComputer Science (R0)