GIS for processing multidimensional marine data in SAAS model

• Autorzy: Drypczewski K. , Wiśniewski B. , Kulawiak M. , Bruniecki K.
• Języki publikacji: EN

Abstrakty

EN

Geographic Information Systems (GIS) have always been a useful tool for visualization and processing of geospatial data. However, their capabilities of analysis non-standard information such as hydroacoustic soundings has thus far been very limited. This paper proposes a general-purpose GIS which uses techniques such as OLAP, WCS and WCPS for processing of multidimensional spatio-temporal data. The versatility of the GIS is exemplified by performing a set of analysis operations on a time series of soundings collected via a multibeam echosounder.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2013
• Tom: Vol. 16
• Strony: 47--58
• Opis fizyczny: Bibliogr. 19 poz., rys.

Twórcy

autor

Drypczewski K.

• Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland

autor

Wiśniewski B.

• Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland

autor

Kulawiak M.

• Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland

autor

Bruniecki K.

• Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland

Bibliografia

• [1] J. Thomas, K. Cook, Illuminating the Path: The Research and Development Agenda for Visual Analytics, National Visualization and Analytics Ctr, 2005.
• [2] P. Baumann, A. Dehmel, M. Höfner, N. Widmann, Exploring Sensor and Simulation Raw Data with RasDaMan, Extending Database Technology (EDBT) 2000, 2000.
• [3] P. Baumann, Query Language Guide, http://rasdaman.eecs.jacobs-university.de/trac/rasdaman/browser/manuals_and_examples/manuals/pdf/ql-guide.pdf [Accessed 25.03.2013]
• [4] L. Libkin, R. Machlin, L. Wong, A query language for multidimensional arrays: Design, implementation, and optimization techniques, Proc. ACM SIGMOD'96, 228 – 239, 1996.
• [5] A.P. Marathe, K. Salem, Query Processing Techniques for Arrays, Proc. ACM SIGMOD'99, 323-334, 1999.
• [6] S. Sarawagi, M. Stonebraker, Efficient Organization of Large Multidimensional Arrays, Proc. ICDE'94, 328-336, 1994.
• [7] http://www.rasdaman.org/ [Accessed 20.03.2013]
• [8] P. Baumann, rView the rasdaman DBMS Visual Frontend, http://rasdaman.eecs.jacobs-university.de/trac/rasdaman/browser/manuals_and_examples/manuals/pdf/rview-guide.pdf [Accessed 28.03.2013]
• [9] http://www.esri.com/software/arcgis/defense-solutions [Accessed 04.04.2013]
• [10] M. Zhang, C. He, G. Liu, Application of GIS in electronic commerce, Second IITA International Conference on Geoscience and Remote Sensing, 483-486, 2010.
• [11] http://www.nrccwdt.org/2011/10/using-gis-for-policy-and-planning/ [Accessed 06.04.2013]
• [12] http://www.tatukgis.com/ [Accessed 12.04.2013]
• [13] M. Kulawiak, M. Moszynski, Integration of Geographic Information Systems for Monitoring and Dissemination of Marine Environment Data, Geospatial Techniques for Managing Environmental Resources, 33-52, 2011.
• [14] P. A. Burrough, R. McDonnell, Principles of geographical information systems (Vol. 333), Oxford university press, 1998.
• [15] http://www.olapcouncil.org/research/resrchly.htm [Accessed 05.04.2013]
• [16] http://en.wikipedia.org/wiki/OLAP_cube [Accessed 10.04.2013]
• [17] W. Hümmer, A. Bauer, G. Harde, XCube: XML for data warehouses, DOLAP '03 Proceedings of the 6th ACM international workshop on Data warehousing and OLAP, 33-40, 2003.
• [18] M. Kulawiak, A. Prospathopoulos, L. Perivoliotis, M. Luba, S. Kioroglou, A. Stepnowski, Interactive visualization of marine pollution monitoring and forecasting data via a Web-based GIS, Computers & Geosiciences Vol. 36(8), 1069-1080, 2010.
• [19] M. Kulawiak, A. Chybicki, M. Moszyński, Web-based GIS as a tool for supporting marine research, Marine Geodesy, Vol. 33(2,3), 135-153, 2010.