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Award details
Models of spatial variation of soil and their application to agri-environmental problems.
Reference
BBS/E/S/00000418
Principal Investigator / Supervisor
Professor Richard Lark
Co-Investigators /
Co-Supervisors
Institution
Silsoe Research Institute
Department
Silsoe Research Institute Department
Funding type
Research
Value (£)
451,633
Status
Completed
Type
Institute Project
Start date
01/04/1998
End date
31/10/2004
Duration
79 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 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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