SDESA - Structural Decomposition of Spatial Association

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Rafael Rossi
DOI: 10.5281/zenodo.18131753
Cited by: 0

Abstract

This script implements the SDESA method, an associative and non-causal procedure for decomposing local X → Y associations into spatial (S), contextual (C), and local (L) components.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026