A unified geostatistical machine learning framework for predicting and attributing arsenic contamination in southwestern Ghana.

Saved in:
Bibliographic Details
Title: A unified geostatistical machine learning framework for predicting and attributing arsenic contamination in southwestern Ghana.
Authors: Bosson-Amedenu, Senyefia1 (AUTHOR) senyefia.bosson-amedenu@ttu.edu.gh, Ayitey, Emmanuel1 (AUTHOR) emmanuel.ayitey@ttu.edu.gh, Borbor, Bridget Sena2 (AUTHOR) bsborbor@st.umat.edu.gh
Source: Discover Environment. 5/21/2026, Vol. 4 Issue 1, p1-48. 48p.
Database: Environment Complete
Full text is not displayed to guests.
Description
ISSN:27319431
DOI:10.1007/s44274-026-00754-9