Evaluating an interpolation approach for modelling spatial variability in pest development.

Abstract

Air temperatures estimated by partial thin plate spline interpolation, or from the 'nearest station' (Voronoi polygon method), were used to model the phenology of three pests of horticultural crops throughout England and Wales. Temperatures for a particularly hot (1976) and a particularly cold (1986) year were interpolated to a grid resolution of 1 km… (More)

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Cite this paper

@article{Jarvis2002EvaluatingAI, title={Evaluating an interpolation approach for modelling spatial variability in pest development.}, author={C. H. Jarvis and Rosemary Collier}, journal={Bulletin of entomological research}, year={2002}, volume={92 3}, pages={219-31} }