A multi-constraint Monte Carlo Simulation approach to downscaling cancer data

L Liu, L Cowan, F Wang, T Onega - Health & Place, 2025 - Elsevier
This study employs an innovative multi-constraint Monte Carlo simulation method to
estimate suppressed county-level cancer counts for population subgroups and extend the …

[HTML][HTML] Dasymetric Algorithms Using Land Cover to Estimate Human Population at Smaller Spatial Scales

IM Bonnevie, HS Hansen, L Schrøder - ISPRS International Journal of …, 2024 - mdpi.com
Data repositories such as Eurostat and OECD provide important socioeconomic datasets
useful to guide decision support towards reaching sustainable development goals …