PRISM project’s update: making spatial machine learning more reliable, plus related activities
An update on the PRISM project's progress in developing methods for validating spatial patterns in machine learning, covering research from 2025-2026.
An update on the PRISM project's progress in developing methods for validating spatial patterns in machine learning, covering research from 2025-2026.
A researcher shares progress on the PRISM project, an MSCA-PF grant focused on validating spatial patterns in machine learning for remote sensing.
Final blog post in a series on the 'motif' R package, summarizing pattern-based spatial analysis methods and future research directions.
Introduces the 'sabre' R package for quantitatively comparing two categorical maps or regionalizations to measure spatial similarity.
Final post in the GeoPAT 2 series, exploring advanced pattern-based spatial analysis methods and integration into custom workflows.
Explains pattern-based regionalization using GeoPAT 2 software to segment landscapes into homogeneous regions based on spatial patterns.
A technical tutorial on using GeoPAT 2 software to find geographically similar landscapes through pattern-based spatial analysis.