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LS2W: implementing the locally stationary 2D wavelet process approach in R.

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>07/2011
<mark>Journal</mark>Journal of Statistical Software
Issue number3
Volume43
Number of pages23
Pages (from-to)1-23
Publication statusPublished
Original languageEnglish

Abstract

Locally stationary process representations have recently been proposed and applied to both time series and image analysis applications. This article describes an implementation of the locally stationary two-dimensional wavelet (LS2W) process approach in R. This package permits construction of estimates of spatially localized spectra and localized autocovariance which can be used to characterize structure within images.