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Requirements for data management and maintenance to support regional land use research

  • Henning Sten Hansen
  • Pia Viuf
  • Wolfgang Loibl
  • Jan Peters-Anders
  • Sergey Zudin
  • Jürgen Vogt

Abstract

SENSOR is dependent on sufficient reliable and accurate data that have to be provided and shared by the partners within the project. Access to reliable and harmonised data across Europe is a fundamental precondition for realisation of the SENSOR project. The current chapter describes basics concerning geo-spatial data types and formats, system architecture and database technologies, interoperability standards, including the INSPIRE principles, data warehouse and GeoPortal technologies. Further some information on spatial data mining, on data policies and related legal aspects and the SENSOR approach for spatial data handling are provided.

Keywords

Spatial data management land use INSPIRE spatial data mining 

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References

  1. Annoni A, Luzet C, Gubler E, Ihde J (eds) (2003): Map Projections for Europe. EUR 20120 EN (http://www.ec-gis.org/document.cfm?id=425&db=document)
  2. Bernard L, Kanellopoulos I, Annoni A and Smits P (2005) The European geoportal—one step towards the establishment of a European Spatial Data Infrastructure. Computers, Environment and Urban Systems, 29, 15–31Google Scholar
  3. COM (2004) Proposal for a DIRECTIVE OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL establishing an infrastructure for spatial information in the Community (INSPIRE)Google Scholar
  4. European Environment Agency (1999) CORINE Land Cover — a key database for European integrated environmental assessmentGoogle Scholar
  5. Bossard M, Feranec J, Otahel J (2000) CORINE land cover technical guide — Addendum 2000. Technical report, 40. Copenhagen (European Environment Agency), p. 105. http://terrestrial.eionet.eea.int Google Scholar
  6. ESRI (1998) Spatial Data Warehousing — An ESRI White Paper. Redlands, USAGoogle Scholar
  7. ESRI (2002) ArcXML Programmers Reference Guide. Redlands, USAGoogle Scholar
  8. ESRI (2005) ArcGIS 9 — Building a Geodatabase. Redlands, USAGoogle Scholar
  9. Ester M, Kriegel HP, Sander J (1997) Spatial Data Mining: A Database Approach. Lecture Notes in Computer Science, vol. 1262, 47–66Google Scholar
  10. Ester M, Kriegel HP and Sander J (2001) Algorithms and Applications for Spatial Data Mining. Geographic Data Mining and Knowledge Discovery, Research Monographs in GIS, Taylor & FrancisGoogle Scholar
  11. INSPIRE (2002 a) INSPIRE Architecture and Standards Working Group Position Paper. October 2002. http://inspire.jrc.it
  12. INSPIRE (2002 b) INSPIRE Data Policy and Legal Issues Working Group Position Paper, October 2002. http://inspire.jrc.it
  13. INSPIRE (2002c) INSPIRE: Reference Data and Metadata Position Paper, http://inspire.jrc.it
  14. JRC (2003) Proceedings of the 1st European Reference Grid workshop and Proposal for a European Reference Grid coding system, 15-10-2004, JRC ESDI Action. (http://inspire.jrc.it)
  15. Klopfer M (ed) (2006) Interoperability & Open Architectures: An Analysis of Existing Standardisation Processes & Procedures. OGC White Paper, Open Gepspatial Consortium 2006Google Scholar
  16. Mücher CA, Bunce RGH, Jongman RHG, Klijn JA, Koomen AJM., Metzger MJ, and Wascher DM (2003) Identification and characterisation of environments and landscapes in Europe. (Alterra-rapport 832), Alterra, Wageningen (NL), 119ppGoogle Scholar
  17. Mücher CA, Wascher DM, Klijn JA, Koomen AJM and Jongman RHG (2006) A new European Landscape Map as an integrative framework for landscape character assessment. In: Landscape Ecology in the Mediterranean: inside and outside approaches, Bunce RGH and Jongman RHG (eds) 2006. Proceedings of the European IALE Conference 29 March–2 April 2005 Faro, Portugal IALE Publication Series 3, 233–243Google Scholar
  18. Open Geospatial Consortium (2005) OpenGIS® Implementation Specification for Geographic information-Simple feature access-Part 2: SQL optionGoogle Scholar
  19. Openshaw S (1999) Geographical data mining: key design issues. Proc. Conference on GeoComputation, http://www.geovista.psu.edu/sites/geocomp99/Gc99/051/gc_051.htm
  20. Renetzeder C, van Eupen M, Mücher S, Wrbka T (2008) Clustering Europe: a spatial regional reference framework for land use assessment. In: Helming K, Tabbush P, Perez-Soba (eds) Sustainability Impact Assessment and land use changes. Springer, 249–268Google Scholar
  21. Silvertand G (2004) Storing and Maintaining Topology in an ArcSDE Geodata-base. ArcUser July — September 2004, p 36Google Scholar
  22. Tait MG (2005) Implementing Geoportals: Applications of Distributed GIS. Computers, Environment and Urban Systems, vol. 29, 33–47Google Scholar
  23. Tang W and Selwood J (2005) Spatial Portals — Gateways to Geographic Information. ESRI PressGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Henning Sten Hansen
    • 1
  • Pia Viuf
    • 1
  • Wolfgang Loibl
    • 2
  • Jan Peters-Anders
    • 2
  • Sergey Zudin
    • 3
  • Jürgen Vogt
    • 4
  1. 1.National Environmental Research Institute (NERI)University of AarhusRoskildeDenmark
  2. 2.Austrian Research Centers GmbH (ARCsys)Austria
  3. 3.European Forest InstituteJoensuuFinland
  4. 4.Joint Research Centre (JRC)European CommissionIspraItaly

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