An introduction to wavelet analysis with applications to vegetation time series

Wavelets are relatively new mathematical tools that have proven to be quite useful for analyzing time series and spatial data. We provide a basic introduction to wavelet analysis which concentrates on their interpretation in the context of analyzing time series. We illustrate the use of wavelet anal...

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Bibliographic Details
Published in:Community Ecology
Main Authors: Percival, D.B., Wang, M., Overland, J.E.
Format: Article in Journal/Newspaper
Language:Hungarian
Published: Akadémiai Kiadó 2004
Subjects:
QH540 Ecology / ökológia
Arctic
Online Access:http://real.mtak.hu/67518/
http://real.mtak.hu/67518/1/comec.5.2004.1.3.pdf
https://doi.org/10.1556/ComEc.5.2004.1.3
id ftmtak:oai:real.mtak.hu:67518
record_format openpolar
spelling ftmtak:oai:real.mtak.hu:67518 2023-05-15T14:55:31+02:00 An introduction to wavelet analysis with applications to vegetation time series Percival, D.B. Wang, M. Overland, J.E. 2004 text http://real.mtak.hu/67518/ http://real.mtak.hu/67518/1/comec.5.2004.1.3.pdf https://doi.org/10.1556/ComEc.5.2004.1.3 hu hun Akadémiai Kiadó http://real.mtak.hu/67518/1/comec.5.2004.1.3.pdf Percival, D.B. and Wang, M. and Overland, J.E. (2004) An introduction to wavelet analysis with applications to vegetation time series. Community Ecology, 5 (1). pp. 19-30. ISSN 1585-8553 QH540 Ecology / ökológia Article PeerReviewed 2004 ftmtak https://doi.org/10.1556/ComEc.5.2004.1.3 2017-11-15T23:57:22Z Wavelets are relatively new mathematical tools that have proven to be quite useful for analyzing time series and spatial data. We provide a basic introduction to wavelet analysis which concentrates on their interpretation in the context of analyzing time series. We illustrate the use of wavelet analysis on time series related to vegetation coverage in the Arctic region. Article in Journal/Newspaper Arctic MTAK: REAL (Library and Information Centre of the Hungarian Academy of Sciences Arctic Community Ecology 5 1 19 30
institution Open Polar
collection MTAK: REAL (Library and Information Centre of the Hungarian Academy of Sciences
op_collection_id ftmtak
language Hungarian
topic QH540 Ecology / ökológia
spellingShingle QH540 Ecology / ökológia
Percival, D.B.
Wang, M.
Overland, J.E.
An introduction to wavelet analysis with applications to vegetation time series
topic_facet QH540 Ecology / ökológia
description Wavelets are relatively new mathematical tools that have proven to be quite useful for analyzing time series and spatial data. We provide a basic introduction to wavelet analysis which concentrates on their interpretation in the context of analyzing time series. We illustrate the use of wavelet analysis on time series related to vegetation coverage in the Arctic region.
format Article in Journal/Newspaper
author Percival, D.B.
Wang, M.
Overland, J.E.
author_facet Percival, D.B.
Wang, M.
Overland, J.E.
author_sort Percival, D.B.
title An introduction to wavelet analysis with applications to vegetation time series
title_short An introduction to wavelet analysis with applications to vegetation time series
title_full An introduction to wavelet analysis with applications to vegetation time series
title_fullStr An introduction to wavelet analysis with applications to vegetation time series
title_full_unstemmed An introduction to wavelet analysis with applications to vegetation time series
title_sort introduction to wavelet analysis with applications to vegetation time series
publisher Akadémiai Kiadó
publishDate 2004
url http://real.mtak.hu/67518/
http://real.mtak.hu/67518/1/comec.5.2004.1.3.pdf
https://doi.org/10.1556/ComEc.5.2004.1.3
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation http://real.mtak.hu/67518/1/comec.5.2004.1.3.pdf
Percival, D.B. and Wang, M. and Overland, J.E. (2004) An introduction to wavelet analysis with applications to vegetation time series. Community Ecology, 5 (1). pp. 19-30. ISSN 1585-8553
op_doi https://doi.org/10.1556/ComEc.5.2004.1.3
container_title Community Ecology
container_volume 5
container_issue 1
container_start_page 19
op_container_end_page 30
_version_ 1766327499028955136

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