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Madlene Nussbaum is an Assistant Professor at Utrecht University, specializing in Computational Geography. Her expertise lies in Geo-Environmental Data Science, where she focuses on statistical machine learning-based data analysis and the development of spatial sampling design frameworks. Her research interests encompass predictive mapping utilizing a broad range of covariates, non-parametric validation statistics, and classical statistical analysis in spatial contexts. Notably, she adapts statistical methods to meet soil spatial data requirements, emphasizing the importance of domain knowledge in geodata processing. Madlene also engages in the visualization of results through web-based GIS and interactive web graphics, underscoring the value of effective data communication in environmental contexts.
Department of Psychology