Measurement Uncertainty in Ecological and Environmental Models
Christian Damgaard
Abstract
In many applied cases of ecological and environmental modeling there is sizeable variation in the independent variables as a result of measurement and sampling errors. This uncertainty may lead to biased predictions. It is possible to avoid this problem by increased sampling and by modeling the errors using hierarchical modeling.
Topics & Concepts
Sampling (signal processing)Variation (astronomy)Uncertainty analysisObservational errorEcologyEnvironmental scienceEconometricsStatisticsComputer scienceMathematicsBiologyAstrophysicsPhysicsComputer visionFilter (signal processing)Soil and Water Nutrient Dynamics