Downscaling livestock census data using multivariate predictive models: Sensitivity to modifiable areal unit problem.

ABSTRACT: The analysis of census data aggregated by administrative units introduces a statistical bias known as the modifiable areal unit problem (MAUP). Previous researches have mostly assessed the effect of MAUP on upscaling models. The present study contributes to clarify the effects of MAUP on the downscaling methodologies, highlighting how a priori choices of scales and shapes could influence the results. We aggregated chicken and duck fine-resolution census in Thailand, using three administrative census levels in regular and irregular shapes. We then disaggregated the data within the Gridded Livestock of the World analytical framework, sampling predictors in two different ways. A sensitivity analysis on Pearson's r correlation statistics and RMSE was carried out to understand how size and shap

SUBMITTER: Da Re D 

PROVIDER: S-EPMC6984718 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature