Ronald Dillner

Geospatial Analysis and Development with Python and R (GDAL, OSGEO, Scipy, RGDAL, Geopandas, QGIS/ PyQGIS/ machine learning sklearn etc.), remote sensing/ image processing, statistical analysis (uni-, bi, multivariate techniques), workflow development and automatization, planning and evaluation/ analysis of drone flights ( multispectral, thermal, LiDAR), viticultural measurement, Project manager/ Administration in the project Smart Vineyard, report generation and presentation of the results

Advanced Geospatial- Analyses with Python and R, Vector- and Rasteranalysis in ArcGIS /QGIS, workflow development and automatization of the process with Python (PyQGIS, Graphical modeler), remote sensing and image classification, Geodata research, Geodata administration with PostGIS, statistical analysis and report generation

preparation and evaluation of chemical soil samples (trace metals) in the context of environmental contamination, table preparation/ manipulation for integration into QGIS, workflow development and automatization of cartography and categorization of the samples, geospatial processing of various geodata from webportals of the LUNG homepage, statistical analyzes and visualization of the soil groupes and report generation and presentation in the context of the LABO- report for environmental thresholds

Paleoceanography (proxy-based)- inorganic- and organic geochemical analysis of marine sediment cores, laboratory work (GC- MS, HPLC- GCMS, elemental Analyzer, ICP- OES/MS, Hg- Analyzer, sample preparation), hydrogeochemistry/ stable isotope analysis of groundwaters of M- V (Hydrogen, Carbon, Sulfur - Species), with categorization, statistical analyses , mapping (QGIS) , report generation and presentation of the results on the Conference of Northern German Geologists 2015

mit Spezialisierung in mariner Geologie, Geochemie/ Mineralogie/ stabile Isotope und Geodatenverarbeitung (ArcGIS/ QGIS); Masterarbeit in Paleoceanograpy