Prof. Dr. rer. nat. habil. Roland Pesch
Grundlagen und Anwendungen von Geoinformationssystemen
mail:
tel: +49 (0) 441 - 7708 - 3248
room: ZSG 106
mail:
tel: +49 (0) 441 - 7708 - 3248
room: ZSG 106
Books and Papers
all
2001
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2013
2014
2015
2017
2018
2020
2021
2022
2023
2024
Nickel, S.; Hertel, A.; Pesch, R.; Schröder, W.; Steinnes, E.; Uggerud, H.T. (2015):
Correlating concentrations of heavy metals in atmospheric deposition with respective accumulation in moss and natural surface soil for ecological land classes in Norway between 1990 and 2010. Environmental Science and Pollution Research 22(11):8488-8498
Nickel, S.; Hertel, A.; Pesch, R.; Schröder, W.; Steinnes, E.; Uggerud, H.T. (2015):
Correlating heavy metal deposition and respective concentration in moss and natural surface soil for ecological land classes in Norway (1990-2010). link to research data and scientific software (Version v1) [Data set]. Zenodo
, doi: doi.org/10.5281/zenodo.1320943
Meyer, M.; Schröder, W.; Pesch, R.; Steinnes, E.; Uggerud, H.T. (2015):
Multivariate association of regional factors with heavy metal concentrations in moss and natural surface soil sampled across Norway between 1990 and 2010. Journal of Soils and Sediments; 15: 410-422
, Weblink
Pesch, R.; Fiorentino, D.; Schuchardt, B.; Bildstein, T.; Günther, C.; Boedeker, D.; Heinicke, K. (2015):
Predictive Mapping of Benthic Communities and Species for the German North Sea. ICES CM 2015/ N:03
Presentations
Schröder, W. ; Pesch, R.
:
Statistical Analyses of Metal Bioaccumulation Data by Use of Location Describing Metadata .
Royal Geographical Society RGS-IBG Annual International Conference, London,
August 2007
Pesch, R.
; Schröder , W. ; Schmidt, G. ; Phillips, F. :
Mapping the Carbon Fixation in German Forests by Geostatistics and Tree-based Models .
56th Session of the International Statistical Institute (ISI) , Lissabon,
August 2007
Schröder, W. ; Pesch, R.
; Kleppin, L. ; Englert, C. :
Metal Bioaccumulation in Germany. Network Optimisation and Statistical Evaluation.
56th Session of the International Statistical Institute (ISI), Lissabon,
August 2007
Schröder, W. ; Pesch, R.
; Schmidt, G. :
Malaria tertiana Transmission in Lower Saxony due to Climate Change?.
EcoSummit2007, Beijing, China,
Mai 2007
Schröder, W. ; Pesch, R.
; Kleppin, L. :
The WebGIS ‘MossMet’ .
EcoSummit2007, Beijing, China,
Mai 2007
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. Tog... more
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 ... more
people
Prof. Dr. Thomas Brinkhoff (head) Prof. Dr. rer. nat. habil. Roland Pesch (head) Prof. Dr. rer. nat. Frank Schüssler (head) Tobias Werner, M.Sc. (10.2022-) Jonas Schoo, M.Sc. (06.2022-) Maren Leiz, M.Sc. (08.2022-) Dr. Amirmohammad Ghavimi (08.2022-)
Prof. Dr. Thomas Brinkhoff (head) Prof. Dr. rer. nat. habil. Roland Pesch (head) Prof. Dr. rer. nat. Frank Schüssler (head) Tobias Werner, M.Sc. (10.2022-) Jonas Schoo, M.Sc. (06.2022-) Maren Leiz, M.Sc. (08.2022-) Dr. Amirmohammad Ghavimi (08.2022-)
Bachelor & Master Theses
Python basierte Implementierung ökologischer Kohärenzanalysen am Beispiel mariner Naturschutzgebiete in der Ostsee (2024/7)
Möglichkeiten der Herstellung synthetischer Trainingsdaten für KI-Modelle in einer Game-Engine aus Geodaten (2024/2)
Räumlich-statistische Analyse des Einflusses lagebezogener Faktoren auf Immobilienpreise im Lagekreis Warendorf (2024/2)
Statistische Analyse von Versiegelungsgraden aus ALKIS-Daten anhand zweier Mustergemeinden und Vergleich mit den Einstufungen gemäß Niedersächsisches Wassergesetz (2024/2)
Prototypische Entwicklung einer Migration von FTTH-Ausbauplanung in das Esri Utility Network mittels FME (2024/2)
cooperation