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 ChinembiriDescription
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
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