Dr. Madlene Nussbaum

Research group "soil protection and soil use"

Spatial data analysis, statistical machine learning with a large number of predictors, longitudinal data analysis

Statistical modelling and prediction of categorical responses

Efficient data processing, high performance computing, paralell computing, automatic generation of data analysis reports and batch generation of figures

Visual preparation of complex analysis and topics

mostly under aplication of: R, Latex, Git, QGis, Inkscape, GIMP, Linux Desktop

Methodolgical developpments for soil surveys and soil mapping

Spatial prediction of soil properties for subsequent derivation of soil function assessments

Efficient data collection in the field, specification of user interfaces, management of soil- and geodata

Developpment of transfer functions to derive soil properies that are difficult or expensive to measure (pedotransferfunctions)

Statistical analysis of soil monitorings with repeated measures

BFH R User Group

Soil Science Society of Switzerland

Female specialists in environment ffu-ppe

Women in geospatial+