Uncertainty quantification of soil property maps with statistical expert elicitation

摘要: Accuracy assessment and uncertainty analyses are key to the quality of data analysis in a wide array scientific disciplines. For soil science, it is important quantify accuracy maps that used environmental agro-ecological studies decision making. Many maps, however, do not provide information about associated accuracy. these can be assessed by independent validation, but this requires additional fieldwork collect validation does full probabilistic description map such as required propagation analyses. Instead, study we aimed at quantifying spatial property using knowledge from multiple experts. The question volumetric water content field capacity (SWFC) East Anglian Chalk area, United Kingdom. A formal statistical expert elicitation procedure was extract experts' model error legacy map. web-based tool for variogram applied elicit experts marginal probability distribution correlation elicited outcomes show SWFC over area characterised multivariate normal random function. function Matern with nugget = 0.45%2, partial sill 54.6%2, range 25,400 m, kappa 0.40. results experts, they provide, valuable hence fill gap lacking maps.