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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
<mark>State</mark>Published
<mark>Original language</mark>English

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.