Award details

Sampling and estimating spatial processes

ReferenceBBS/E/C/00004688
Principal Investigator / Supervisor Professor Richard Lark
Co-Investigators /
Co-Supervisors
Institution Rothamsted Research
DepartmentRothamsted Research Department
Funding typeResearch
Value (£) 499,215
StatusCompleted
TypeInstitute Project
Start date 01/04/2005
End date 31/03/2008
Duration36 months

Abstract

Objectives. To develop improved statistical methods for sampling environmental variables and for making spatial predictions from these samples, with particular emphasis on better sampling efficiency, statistical robustness the incorporation of information from different sources ¿ including process models ¿ and a robust expression of the uncertainty of these predictions for subsequent risk analysis. We will develop robust likelihood-based estimators for spatial variance models and robust methods for predicting variables from data that include outliers so that the effect of these is minimized and we can describe the spatial distribution of the outliers so as to estimate the local risk that they occur. We shall develop likelihood methods for robust estimation of co-regionalization models. We shall extend our adaptive methods for spatial sampling to incorporate robustness. We shall develop methods to combine process models with statistical prediction from various data sources of uneven quality. The deliverable for this objective will be a suite of methods, illustrated with agri-environmental case studies, which will have greater flexibility than current classical geostatistical tools.

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
terms and conditions of use (opens in new window)
export PDF file