Search Results for author:
Found 2 papers, 0 papers with code
Challenges in data-based geospatial modeling for environmental research and practice
With the rise of electronic data, particularly Earth observation data, data-based geospatial modelling using machine learning (ML) has gained popularity in environmental research.
Correcting sampling biases via importance reweighting for spatial modeling
In machine learning models, the estimation of errors is often complex due to distribution bias, particularly in spatial data such as those found in environmental studies.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
