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Automated Web-Based Geoprocessing of Rental Prices

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10407))

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Abstract

Increasingly, geodata processing is being relocated to web-based services. A pioneering role was played here by the Open Geospatial Consortium(OGC) and the standardized OGC Web Processing Services (WPS). In addition to WPS, a large number of non-standardized online services and libraries, developed in the recent years, allow the web-based processing of spatial data. As geodata processing moved to web-based services, it led to an exponential increase in the availability of data with a spatial component on the World Wide Web.

Several web-based services possess the capabilities to geoprocess real estate data as rental prices. The aim of this article is to explore semi-or fully-automatedweb-based realtime geodata processing of rental data. A fully functional implementation of a nearly real-time-generated rental mapis presented. Till now, no comparable service exists.

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Author information

Authors and Affiliations

  1. Institute of Earth and Enviromental Science, University of Potsdam, Karl-Liebknecht-Strasse 24/25, 14476, Potsdam, Germany

    Harald Schernthanner

  2. Department of Geography, University of Potsdam, Karl-Liebknecht-Strasse 24/25, 14476, Potsdam, Germany

    Christian Kuntzsch & Hartmut Asche

  3. Hochschule Mainz - University of Applied Sciences, School of Technology – Geoinformatics and Surveying, Lucy-Hillebrand-Straße 2, 55128, Mainz, Germany

    Sebastian Steppan

  4. German Aerospace Center (DLR), German Remote Sensing Data Center National Ground Segment, Kalkhorstweg 53, 17235, Neustrelitz, Germany

    Erik Borg

Authors
  1. Harald Schernthanner
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  2. Sebastian Steppan
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  3. Christian Kuntzsch
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  4. Erik Borg
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  5. Hartmut Asche
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Corresponding author

Correspondence to Harald Schernthanner .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Schernthanner, H., Steppan, S., Kuntzsch, C., Borg, E., Asche, H. (2017). Automated Web-Based Geoprocessing of Rental Prices. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10407. Springer, Cham. https://doi.org/10.1007/978-3-319-62401-3_37

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  • DOI: https://doi.org/10.1007/978-3-319-62401-3_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62400-6

  • Online ISBN: 978-3-319-62401-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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