Award details

Models of spatial variation of soil and their application to agri-environmental problems.

ReferenceBBS/E/S/00000418
Principal Investigator / Supervisor Professor Richard Lark
Co-Investigators /
Co-Supervisors
Institution Silsoe Research Institute
DepartmentSilsoe Research Institute Department
Funding typeResearch
Value (£) 451,633
StatusCompleted
TypeInstitute Project
Start date 01/04/1998
End date 31/10/2004
Duration79 months

Abstract

The complex spatial variation of environmental variables causes problems for adequate and affordable sampling, monitoring of temporal change, interpretation and mapping and obtaining information as input for mechanistic models. The Random Function model of spatial variation has proved useful for tackling these problems. Recent studies have identified limitations, while extending its application to a wider range of conditions. Other models of spatial variation have been proposed. These models must be evaluated, particularly in terms of their ability to generate cost-effective methods for collecting data to solve practical problems. The objective of this project are i) to identify the limits of geostatistics (Random Function) model of soil variation for practical problems, ii) To develop and extend alternative models of soil variation in space and time (e.g.wavelets, spatial point processes, state-space models, principal oscillation patterns,fuzzy regionalization etc.) iii) To evaluate these alternative models as a framework for sampling,temporal monitoring, interpretation, mapping and mechanistic modelling of soil and cognate information at different spatial scales. This work will proceed by the evaluation of alternative models of this spatial variation of real soil data, or data generated from models of soil processes.

Summary

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