Visual integration of diverse environmental data: A case study in Central Germany

iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society

Volumn , Issue , 2012, Pages 2350-2357

  Helbig, C ^a,b,c   Rink, K ^a   Marx, A ^a   Priess, J ^a   Frank, M ^c   Kolditz, O ^a,b  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^c LEIPZIG UNIVERSITY OF APPLIED SCIENCES   (Germany)

Author keywords

Central germany; Environmental data; OpenGeoSys project; Visualization

Indexed keywords

EID: 84894212004     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Albrecht, J., K. Juta, and A. Nobis. Adaptation strategies to climate change and the role of planning instruments - the example of the dresden region (saxony/germany). EGU General Assembly 2009, page 9449, 2009.
2. Andrienko, G., N. Andrienko, et al. Challenging problems of geospatial visual analytics. Journal of Visual Languages and Computing, v.22 (4):251-256, 2011.
3. Breunig, M. and S. Zlatanova. 3d geo-database research: Retrospective and future directions. Computers & Geosciences, 37(7):791 - 803, 2011.
4. Hauck, J. and J. Priess. Szenarien für nachhaltige Landnutzung in Mitteldeutschland. Helmholtz Centre for Environmental Research, 2011.
5. Hoymann, J. Spatial allocation of future residential land use in the elbe river basin. Environment and Planning B: Planning and Design, 37:911-928, 2010.
6. ndInternational Conference on Computing for Geospatial Research & Applications, COM.Geo '11, pages 72:1-72:1. ACM, 2011.
7. Kolditz, O., S. Bauer, et al. Opengeosys: An open-source initiative for numerical simulation of thermo-hydro-mechanical/chemical (thm/c) processes in porous media. Environmental Earth Sciences, pages 1-11, 2012. 10.1007/s12665-012-1546-x.
8. Mäs, S., M. Müller, et al. Linking the outcomes of scientific research: Requirements from the perspective of geosciences. In First International Workshop on Linked Science 2011, 2011.
9. Meinke, I., E.-M. Gerstner, et al. Regionaler Klimaatlas Deutschland der Helmholtz- Gemeinschaft informiert im Internet über möglichen künftigen Klimawandel. DMG Mitteilungen 2-2010, pages 5-7, 2010.
10. Michael, A., J. Schmidt, et al. Climate change and soil erosion- results of comparative model simulations with high resoluted precipitation data for a catchment in saxony/germany. EGU General Assembly 2010, page 5795, 2010.
11. Perez-Vega, Azucena, Mas, et al. Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest. Environmental Modelling & Software, 29(1):11-23, 2012.
12. Priess, J., C. Schweitzer, et al. The consequences of land-use change and water demands in central mongolia. Land Use Policy, 28(1):4 - 10, 2010.
13. Rink, K., T. Kalbacher, and O. Kolditz. Visual Data Exploration for Hydrological Analysis. Environmental Earth Sciences, 65(5):1395-1403, 2012.
14. Schuhmann, H. and W. Müller. Visualisierung - Grundlagen und allgemeine Methoden, 2000.
15. Seppelt, R. Land Use Change. GLUES and the Research Programme Sustainable Land Management. Schmalzbauer, B. and Klepper, G., 2011.
16. Smiatek, G., H. Kunstmann, et al. Precipitation and temperature statistics in highresolution regional climate models: Evaluation for the European alps. Journal of Geophysical Research, 114:1-16, 2009.
17. Thomas, J. J. and K. A. Cook. Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualization and Analytics Ctr, 2005.
18. Zacharias, S., H. Bogena, et al. A network of terrestrial environmental observatories in germany. Vadose Zone Journal, 10(3):955-973, 2011.