Hierarchical modelling of C stock under a warming climate in Zimbabwe

Published: 29 February 2024| Version 1 | DOI: 10.17632/6wfdwy56kf.1
Contributor:
Tsikai Solomon Chinembiri

Description

1. Esri shape-file of the study area 2. shape-file of the sampled forest plots 3. Variables used for C stock modelling 4. Grid data used for C stock interpolation 5. R statistical code used for modelling

Files

Institutions

University of KwaZulu-Natal School of Engineering

Categories

Bayesian Statistics, Geostatistics, Geographical Information Science, Forest Biomass, Passive Remote Sensing

Funding

National Research Foundation of South Africa

84157

Licence