Books and Papers
Assessing the state of marine biodiversity in the Northeast Atlantic
2022
Ecological Indicators 141 (2022) 109148
Chapter 2: Mathematics and Statistics
2022
W. Kresse, D. Danko (Eds.), Springer Handbook of Geographic Information, Springer
Geostatistical Applications in a Marine Benthic Biological Context
2022
Kresse, W., Danko, D. M. (Eds.): Springer Handbook of Geographic Information. Springer
GIS-basierte Modellierung von Eignungsflächen für die Wiederansiedlung der Europäischen Auster in der AWZ der Nordsee
2022
gis.Science Ausgabe 2/2022
Spotlight on coarse sediments: Comparative characterization of a poorly investigated seafloor biotope in the German Bight (SE North Sea)
2022
Estuarine, Coastal and Shelf Science; Volume 275, 30 September 2022, 107996
Presentations
Metal Bioaccumulation in Germany. Network Optimisation and Statistical Evaluation
August 2007
56th Session of the International Statistical Institute (ISI), Lissabon
Spatial and Temporal Analysis of Metal Specific Bioaccumulation Data
Mai 2007
EcoSummit2007, Beijing, China
Statistical Classification of Terrestrial and Marine Ecosystems for Environmental Planning
Mai 2007
EcoSummit2007, Beijing, China
Malaria tertiana Transmission in Lower Saxony due to Climate Change?
Mai 2007
EcoSummit2007, Beijing, China
The WebGIS ‘MossMet’
Mai 2007
EcoSummit2007, Beijing, China
Projects
Funded by
Europäische Union (EU)
Given the EU Biodiversity Strategy 2030, Protect Baltic aims to evaluate and optimise the existing network of marine protected areas in the Baltic Sea and thus makes a positive contribution to biodiversity and the protection of marine ecosystems. Together with other institutes th...
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Funded by
Niedersächsisches Vorab
Transformation and structural change in rural areas mean changes in space and time. Such spatiotemporal data is to be managed and processed by our “Geo-Toolbox”. It uses digital technologies such as databases and geographic information systems (GIS) for tasks of the e...
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Bachelor & Master Theses
Flächenhafte Modellierung der Verbreitung ausgewählter Seevögel in der Ostsee mittels maschineller Lernverfahren
2026/3
Ableitung eines Modells zur flurstücksscharfen Hochrechnung von Hochwasserschäden aus Jahrhunderthochwasser und Extremhochwasser
2026/2
Cooperation
Katasteramt Lingen
Bodenschätzung mit KI - Machbarkeitsstudie zum Einsatz automatisierter Verfahren zur Verbesserung der Bodenschätzung in der Flurbereinigung
2026/2
Cooperation
Regionaldirektion Lüneburg