Award details

The spatial analysis of model error

Reference	D19343/2
Principal Investigator / Supervisor	Professor Richard Lark
Co-Investigators / Co-Supervisors
Institution	Rothamsted Research
Department	Computational & Systems Biology
Funding type	Research
Value (£)	117,896
Status	Completed
Type	Research Grant
Start date	01/11/2004
End date	31/01/2007
Duration	27 months

Abstract

Methods for validating biological models have not addressed the specific problems of spatially distributed models with spatially variable errors. These are threefold. The performance of a model may depend on spatial scale, e.g. with poor prediction of short- range variations, but good prediction at coarser scales. Second, the partition of modelling variation between spatial scales may be a more or less accurate reflection of reality. Third, model performance may be good in some places and poor elsewhere. Analysis of this variation in performance will help to identify aspects of the model which require development. In this project we will develop analytical methods for evaluating spatially dependent model error, with different mathematical assumptions and limitations. This will be applied to simulated data, and to a real modelling problem - the prediction of crop growth.

Summary

unavailable

Committee	Closed Committee - Agri-food (AF)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

Associated awards:

D19343 The spatial analysis of model error

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