QUT ePrints

Comparison of three-dimensional profiles over time

Donald, Margaret R., Strickland, Christopher, Alston, Clair L., Young, Rick, & Mengersen, Kerrie L. (2012) Comparison of three-dimensional profiles over time. Journal of Applied Statistics.

View at publisher

Abstract

In this paper, we describe an analysis for data collected on a three-dimensional spatial lattice with treatments applied at the horizontal lattice points. Spatial correlation is accounted for using a conditional autoregressive model. Observations are defined as neighbours only if they are at the same depth. This allows the corresponding variance components to vary by depth. We use the Markov chain Monte Carlo method with block updating, together with Krylov subspace methods, for efficient estimation of the model. The method is applicable to both regular and irregular horizontal lattices and hence to data collected at any set of horizontal sites for a set of depths or heights, for example, water column or soil profile data. The model for the three-dimensional data is applied to agricultural trial data for five separate days taken roughly six months apart in order to determine possible relationships over time. The purpose of the trial is to determine a form of cropping that leads to less moist soils in the root zone and beyond.We estimate moisture for each date, depth and treatment accounting for spatial correlation and determine relationships of these and other parameters over time.

Impact and interest:

0 citations in Scopus
Search Google Scholar™
0 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

44 since deposited on 02 Feb 2012
13 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 48418
Item Type: Journal Article
DOI: 10.1080/02664763.2012.654771
ISSN: 0266-4763
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Taylor and Francis
Copyright Statement: This is a postprint of an article whose final and definitive form has been published in the [Journal of Applied Statistics] (C) [2012] (copyright Taylor & Francis); [JJournal of Applied Statistics] is available online at: http://www.tandfonline.com/doi/abs/10.1080/02664763.2012.654771
Deposited On: 02 Feb 2012 04:55
Last Modified: 30 Jan 2013 20:44

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page