Applications of spatial models to ordinal data: Geospatial Statistics for Soybean Iron Deficiency Chlorosis
Z. Xu, S. B. Cannon, W. D. Beavis
The paper evaluates spatial adjustment methods for ordinal data in soybean iron deficiency chlorosis, finding SAR models perform best but none fully remove spatial patterns.
bioRxiv · Sep 21, 2020 · PreprintPlant Biology