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New generation environmetrics

Reference	BBS/E/S/00000480
Principal Investigator / Supervisor	Professor Richard Lark
Co-Investigators / Co-Supervisors
Institution	Silsoe Research Institute
Department	Silsoe Research Institute Department
Funding type	Research
Value (£)	184,200
Status	Completed
Type	Institute Project
Start date	01/04/2003
End date	31/10/2004
Duration	19 months

Abstract

Environmetrics, the quantitative analysis of environmental variation, has made substantial advances through the application of geostatistical methods. However, these have limitations, particularly the generality of their assumptions. The objective of this programme is to develop the foundation for a new generation of environmetric techniques; based on a more general model of spatial variation in the environment.Objectives: The objective of the programme is to develop a framework for cost-effective spatial and temporal environmental monitoring at a range of scales from the field to the country or region based on a more general model of environmental variation than is currently in use. In particular we are interested in complex spatial variation (where distinct processes contribute to the variability of a variable) and non-stationary variation (where variability appears to change in space). This framework will incorporate the following aspects of the problem: How best to sample the environment in time and space; How best to obtain spatial and temporal predictions of environmental variables from these samples; How to integrate statistical treatment of data on the environment with models which incorporate our knowledge of the relevant environmental processes.Our recent work on wavelet analysis is likely to be a fruitful way of pursuing this problem. In BBSRC funded work we have shown how intermittent variation can be simulated using what we called 'wavelet random functions', and we were able to explore some sampling strategies. This approach would need to be generalized. Can we develop a wavelet packet random function (WPRF) of which the intrinsic random functions of geostatistics are just a special case ? These methods will be applied to a series of case studies at different spatial scales in collaboration with different partners (internal and external).

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

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