Environmental Informatics
Environmental informatics uses large multidimensional, complex datasets to study environmental problems, which can be both discrete and continuous in space or time. These datasets and their requisite metadata can be managed by queryable databases. Geospatial Web application programming interfaces (A...
Published in: | Annual Review of Environment and Resources |
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Online Access: | https://escholarship.org/uc/item/1nx4w71t https://doi.org/10.1146/annurev-environ-042711-121244 |
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ftcdlib:oai:escholarship.org:ark:/13030/qt1nx4w71t 2024-09-15T17:46:53+00:00 Environmental Informatics Frew, James E Dozier, Jeff 449 - 472 2012-11-21 https://escholarship.org/uc/item/1nx4w71t https://doi.org/10.1146/annurev-environ-042711-121244 unknown eScholarship, University of California qt1nx4w71t https://escholarship.org/uc/item/1nx4w71t doi:10.1146/annurev-environ-042711-121244 public Annual Review of Environment and Resources, vol 37, iss 1 Patient Safety data-intensive science data-driven discovery Ecology Energy article 2012 ftcdlib https://doi.org/10.1146/annurev-environ-042711-121244 2024-06-28T06:28:20Z Environmental informatics uses large multidimensional, complex datasets to study environmental problems, which can be both discrete and continuous in space or time. These datasets and their requisite metadata can be managed by queryable databases. Geospatial Web application programming interfaces (APIs) provide remote access to dynamic subsets of environmental information. Persistent identifiers make data citable. The storage-computing trade-off is now heavily skewed in favor of moving calculations to the data. Provenance metadata help determine a data object's reliability and trustworthiness. Rising atmospheric CO2, the Antarctic ozone hole, and Gulf Stream warm-core rings were all discovered by analyzing long-term datasets. Similar work continues on mapping evapotranspiration and snow water equivalent. In these "fourth paradigm" problems, data (especially data collected operationally) drive hypothesis formation. Making data available requires new discovery mechanisms and policies favoring data sharing. Cloud computing and array-friendly databases will help bring processing to the data. Ubiquitous location sensing and geotagging will help turn citizen scientists into environmental information collectors. © Copyright ©2012 by Annual Reviews. All rights reserved. Article in Journal/Newspaper Antarc* Antarctic University of California: eScholarship Annual Review of Environment and Resources 37 1 449 472 |
institution |
Open Polar |
collection |
University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
unknown |
topic |
Patient Safety data-intensive science data-driven discovery Ecology Energy |
spellingShingle |
Patient Safety data-intensive science data-driven discovery Ecology Energy Frew, James E Dozier, Jeff Environmental Informatics |
topic_facet |
Patient Safety data-intensive science data-driven discovery Ecology Energy |
description |
Environmental informatics uses large multidimensional, complex datasets to study environmental problems, which can be both discrete and continuous in space or time. These datasets and their requisite metadata can be managed by queryable databases. Geospatial Web application programming interfaces (APIs) provide remote access to dynamic subsets of environmental information. Persistent identifiers make data citable. The storage-computing trade-off is now heavily skewed in favor of moving calculations to the data. Provenance metadata help determine a data object's reliability and trustworthiness. Rising atmospheric CO2, the Antarctic ozone hole, and Gulf Stream warm-core rings were all discovered by analyzing long-term datasets. Similar work continues on mapping evapotranspiration and snow water equivalent. In these "fourth paradigm" problems, data (especially data collected operationally) drive hypothesis formation. Making data available requires new discovery mechanisms and policies favoring data sharing. Cloud computing and array-friendly databases will help bring processing to the data. Ubiquitous location sensing and geotagging will help turn citizen scientists into environmental information collectors. © Copyright ©2012 by Annual Reviews. All rights reserved. |
format |
Article in Journal/Newspaper |
author |
Frew, James E Dozier, Jeff |
author_facet |
Frew, James E Dozier, Jeff |
author_sort |
Frew, James E |
title |
Environmental Informatics |
title_short |
Environmental Informatics |
title_full |
Environmental Informatics |
title_fullStr |
Environmental Informatics |
title_full_unstemmed |
Environmental Informatics |
title_sort |
environmental informatics |
publisher |
eScholarship, University of California |
publishDate |
2012 |
url |
https://escholarship.org/uc/item/1nx4w71t https://doi.org/10.1146/annurev-environ-042711-121244 |
op_coverage |
449 - 472 |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Annual Review of Environment and Resources, vol 37, iss 1 |
op_relation |
qt1nx4w71t https://escholarship.org/uc/item/1nx4w71t doi:10.1146/annurev-environ-042711-121244 |
op_rights |
public |
op_doi |
https://doi.org/10.1146/annurev-environ-042711-121244 |
container_title |
Annual Review of Environment and Resources |
container_volume |
37 |
container_issue |
1 |
container_start_page |
449 |
op_container_end_page |
472 |
_version_ |
1810495318818553856 |