A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Design‐based empirical orthogonal function model for environmental monitoring data analysis
10.1002/env.904.abs
An empirical orthogonal function (EOF) model is proposed as a prediction method for data collected over space and time. EOF models are widely used in a number of disciplines, including Meteorology and Oceanography. The appealing feature of this model is the advantage of not requiring any assumption for the covariance matrix structure. However, there is a need to account for the errors associated with the spatial and temporal features of the data. This is accomplished by incorporating information from the sampling design, used to establish the network, into the model. The theoretical developments and numerical solutions are presented in the first section of the paper. An application of the model to real data and the results of validation analyses are also presented. Copyright © 2008 John Wiley & Sons, Ltd.
Design‐based empirical orthogonal function model for environmental monitoring data analysis
10.1002/env.904.abs
An empirical orthogonal function (EOF) model is proposed as a prediction method for data collected over space and time. EOF models are widely used in a number of disciplines, including Meteorology and Oceanography. The appealing feature of this model is the advantage of not requiring any assumption for the covariance matrix structure. However, there is a need to account for the errors associated with the spatial and temporal features of the data. This is accomplished by incorporating information from the sampling design, used to establish the network, into the model. The theoretical developments and numerical solutions are presented in the first section of the paper. An application of the model to real data and the results of validation analyses are also presented. Copyright © 2008 John Wiley & Sons, Ltd.
Design‐based empirical orthogonal function model for environmental monitoring data analysis
Munoz, Breda (author) / Lesser, Virginia M. (author) / Ramsey, Fred L. (author)
Environmetrics ; 19 ; 805-817
2008-12-01
13 pages
Article (Journal)
Electronic Resource
English
Improving Survey-Based Inlet Sediment Budgets: Empirical Orthogonal Function (EOF) Analysis
| British Library Conference Proceedings | 2000