Coastal Typologies: Methods for Improving Representation of Arctic Coastal Environments, Starting with Alaska's Northern Slope [Slides]

The objectives of the project included: Broaden QGIS (mapping) and Python (data analysis) skill set; Contribute to overall development of coastal typologies by conducting data mining and analysis; Expand scientific literacy; Narrow data sources to those most useful for project; Convert chosen data s...

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Bibliographic Details
Main Authors: Piliouras, Anastasia, Clevenger, Tabatha Lane
Language:unknown
Published: 2022
Subjects:
58 GEOSCIENCES
Arctic
Online Access:http://www.osti.gov/servlets/purl/1663166
https://www.osti.gov/biblio/1663166
https://doi.org/10.2172/1663166
id ftosti:oai:osti.gov:1663166
record_format openpolar
spelling ftosti:oai:osti.gov:1663166 2023-07-30T04:01:20+02:00 Coastal Typologies: Methods for Improving Representation of Arctic Coastal Environments, Starting with Alaska's Northern Slope [Slides] Piliouras, Anastasia Clevenger, Tabatha Lane 2022-02-16 application/pdf http://www.osti.gov/servlets/purl/1663166 https://www.osti.gov/biblio/1663166 https://doi.org/10.2172/1663166 unknown http://www.osti.gov/servlets/purl/1663166 https://www.osti.gov/biblio/1663166 https://doi.org/10.2172/1663166 doi:10.2172/1663166 58 GEOSCIENCES 2022 ftosti https://doi.org/10.2172/1663166 2023-07-11T09:47:12Z The objectives of the project included: Broaden QGIS (mapping) and Python (data analysis) skill set; Contribute to overall development of coastal typologies by conducting data mining and analysis; Expand scientific literacy; Narrow data sources to those most useful for project; Convert chosen data sets into image formats for analysis; and, Utilize python to analyze images. Other/Unknown Material Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 58 GEOSCIENCES
spellingShingle 58 GEOSCIENCES
Piliouras, Anastasia
Clevenger, Tabatha Lane
Coastal Typologies: Methods for Improving Representation of Arctic Coastal Environments, Starting with Alaska's Northern Slope [Slides]
topic_facet 58 GEOSCIENCES
description The objectives of the project included: Broaden QGIS (mapping) and Python (data analysis) skill set; Contribute to overall development of coastal typologies by conducting data mining and analysis; Expand scientific literacy; Narrow data sources to those most useful for project; Convert chosen data sets into image formats for analysis; and, Utilize python to analyze images.
author Piliouras, Anastasia
Clevenger, Tabatha Lane
author_facet Piliouras, Anastasia
Clevenger, Tabatha Lane
author_sort Piliouras, Anastasia
title Coastal Typologies: Methods for Improving Representation of Arctic Coastal Environments, Starting with Alaska's Northern Slope [Slides]
title_short Coastal Typologies: Methods for Improving Representation of Arctic Coastal Environments, Starting with Alaska's Northern Slope [Slides]
title_full Coastal Typologies: Methods for Improving Representation of Arctic Coastal Environments, Starting with Alaska's Northern Slope [Slides]
title_fullStr Coastal Typologies: Methods for Improving Representation of Arctic Coastal Environments, Starting with Alaska's Northern Slope [Slides]
title_full_unstemmed Coastal Typologies: Methods for Improving Representation of Arctic Coastal Environments, Starting with Alaska's Northern Slope [Slides]
title_sort coastal typologies: methods for improving representation of arctic coastal environments, starting with alaska's northern slope [slides]
publishDate 2022
url http://www.osti.gov/servlets/purl/1663166
https://www.osti.gov/biblio/1663166
https://doi.org/10.2172/1663166
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation http://www.osti.gov/servlets/purl/1663166
https://www.osti.gov/biblio/1663166
https://doi.org/10.2172/1663166
doi:10.2172/1663166
op_doi https://doi.org/10.2172/1663166
_version_ 1772812084424212480

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