Summary
This paper argues that spatial cross-validation is an inappropriate method for evaluating map accuracy in ecological modelling applications. The authors, affiliated with prominent spatial statistics research groups, contend that the technique introduces systematic biases in accuracy assessment and propose considerations for selecting more suitable validation strategies. The work contributes to methodological best practice in spatial model evaluation relevant to environmental and agricultural mapping.
UK applicability
UK soil and land use mapping programmes—including those supporting precision agriculture and natural capital assessment—rely on spatial models that require rigorous validation. This paper's methodological critique is directly applicable to evaluating accuracy of UK-based soil maps, habitat distribution models, and nutrient status assessments used in farm advisory services.
Key measures
Map accuracy assessment methods, spatial cross-validation performance, model validation approaches
Outcomes reported
The study critiques spatial cross-validation as a validation approach for map accuracy assessment, examining methodological limitations in how ecological and spatial models are evaluated.
Topic tags
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