Assessing spatial predictive models in the environmental sciences: Accuracy measures, data variation and variance explained

• Published in: Environmental modelling & software : with environment data news Vol. 80; pp. 1 - 8
• Main Author: Li, Jin
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2016
• Subjects: Accuracy; Assessments; Benchmarking; Computer programs; computer software; Data variance; decision making; Environment management; environmental management; environmental models; Error measure; issues and policy; Mathematical models; Model assessment; prediction; Predictive accuracy; Scale (ratio); Spatial interpolation methods; Spatial predictions; Variance; Data variance; Model assessment; Spatial predictions; Predictive accuracy; Error measure; Spatial interpolation methods

A comprehensive assessment of the performance of predictive models is necessary as they have been increasingly employed to generate spatial predictions for environmental management and conservation and their accuracy is crucial to evidence-informed decision making and policy. In this study, we clari...