Meyer, Hanna

Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction

Meyer, H., Reudenbach, C., Wöllauer, S., & Nauss, T. (2019) · Ecological Modelling

Spatial and Panel Data AnalysisSoil Geostatistics and Mapping

Cited by 509

Machine learning-based global maps of ecological variables and the challenge of assessing them

Meyer, H., & Pebesma, E. (2022) · Nature Communications

Species Distribution and Climate ChangeSoil Geostatistics and Mapping

Cited by 310

Nearest neighbour distance matching Leave‐One‐Out Cross‐Validation for map validation

Milà, C., Mateu, J., Pebesma, E., & Meyer, H. (2022) · Methods in Ecology and Evolution

Soil Geostatistics and MappingSpatial and Panel Data Analysis

Cited by 119

Assessing and improving the transferability of current global spatial prediction models

Ludwig, M., Moreno‐Martinez, A., Hölzel, N., Pebesma, E., & Meyer, H. (2023) · Global Ecology and Biogeography

Soil Geostatistics and MappingSpecies Distribution and Climate Change

Cited by 92

kNNDM CV: k-fold nearest-neighbour distance matching cross-validation for map accuracy estimation

Linnenbrink, J., Milà, C., Ludwig, M., & Meyer, H. (2024) · Geoscientific Model Development

Spatial and Panel Data AnalysisSoil Geostatistics and Mapping

Cited by 51