Ancillary information improves kriging on soil organic carbon data for a typical karst peak cluster depression landscape.

@article{Zhang2012AncillaryII,
  title={Ancillary information improves kriging on soil organic carbon data for a typical karst peak cluster depression landscape.},
  author={Wei Zhang and Kelin Wang and Hongsong Chen and Xunyang He and Jiguang Zhang},
  journal={Journal of the science of food and agriculture},
  year={2012},
  volume={92 5},
  pages={1094-102}
}
BACKGROUND Soil carbon management at landscape scale requires reliable information on the spatial distribution of soil organic carbon (SOC). However, how to improve the accuracy of spatial prediction is not well addressed in the karst region of southwestern China. This study evaluates the performance of univariate kriging (ordinary kriging (OK)) and hybrid kriging (co-kriging (CK), regression kriging (RK) and residual maximum likelihood (REML)) in mapping the spatial distribution of SOC at a… CONTINUE READING