Science Analytics and Synthesis (SAS)

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Science Analytics and Synthesis (SAS) emphasizes a science data lifecycle approach to Earth systems data and information. We strive to accelerate research and decision making through data science, information delivery, advanced computing, and biodiversity analytics.

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Gap Analysis Project Species Viewer

Gap Analysis Project Species Viewer

The Gap Analysis Project Species Viewer is focused on providing access to species range maps and predicted habitat distribution models for species within the continental U.S. through an interactive map, allowing the user to explore the data.

Viewer

Hawaii Waterfalls Linked to the National Hydrography Datasets

Hawaii Waterfalls Linked to the National Hydrography Datasets

Waterfall locations and estimated waterfall heights on five of the main Hawaiian Islands linked the NHD. Knowing waterfall locations and characteristics can aide in understanding species distributions and migration patterns across stream networks.

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Comprehensive List of Non-Native Species in AK-HI-L48, V2.0

Comprehensive List of Non-Native Species in AK-HI-L48, V2.0

A compilation and analysis of authoritative assertions of the nonindigenous status of taxa in Alaska, Hawaii, and the conterminous United States of America.

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News

Date published: August 21, 2020

Call for proposals: LTER Office Network (LNO) Award Registration Information for Synthesis Working Groups

NSF's Long Term Ecological Reaserach Network (LTER) is releasing a call for proposals for synthesis working groups.

Date published: February 13, 2020

Understanding and Predicting Wetland Methane Emissions

When: February 27, 2020 at 4 pm MT
Where: B218 E‐Conference Room, CSU Natural & Environmental Science Building (NESB)
Online: https://zoom.us/j/732190660
Who: Dr. Rob Jackson, Stanford University & members of the...

Publications

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Year Published: 2021

Community for Data Integration 2019 annual report

The Community for Data Integration is a community of practice whose purpose is to advance the U.S. Geological Survey’s data integration capabilities. In fiscal year 2019, the Community for Data Integration held 9 monthly forums, facilitated 11 collaboration areas, held several workshops and training events, and funded 14 projects. The activities...

Hsu, Leslie; Liford, Amanda N.
Hsu, L., and Liford, A.N., 2021, Community for Data Integration 2019 Annual Report: U.S. Geological Survey Open-File Report 2021–1016, 19 p., https://doi.org/10.3133/ofr20211016.

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Year Published: 2021

U.S. Geological Survey wildland fire science strategic plan, 2021–26

The U.S. Geological Survey (USGS) Wildland Fire Science Strategic Plan defines critical, core fire science capabilities for understanding fire-related and fire-responsive earth system processes and patterns, and informing management decision making. Developed by USGS fire scientists and executive leadership, and informed by conversations with...

Steblein, Paul F.; Loehman, Rachel A.; Miller, Mark P.; Holomuzki, Joseph R.; Soileau, Suzanna C.; Brooks, Matthew L.; Drane-Maury, Mia; Hamilton, Hannah M.; Kean, Jason W.; Keeley, Jon E.; Mason, Robert R.; McKerrow, Alexa J.; Meldrum, James R.; Molder, Edmund B.; Murphy, Sheila F.; Peterson, Birgit; Plumlee, Geoffrey S.; Shinneman, Douglas J.; van Mantgem, Phillip J.; York, Alison
Steblein, P.F., Loehman, R.A., Miller, M.P., Holomuzki, J.R., Soileau, S.C., Brooks, M.L., Drane-Maury, M., Hamilton, H.M., Kean, J.W., Keeley, J.E., Mason, R.R., Jr., McKerrow, A., Meldrum, J.R., Molder, E.B., Murphy, S.F., Peterson, B., Plumlee, G.S., Shinneman, D.J., van Mantgem, P.J., and York, A., 2021, U.S. Geological Survey wildland fire science strategic plan, 2021–26: U.S. Geological Survey Circular 1471, 30 p., https://doi.org/10.3133/cir1471.

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Year Published: 2021

U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data

The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held during June 3–7, 2019, at Center Green in Boulder, Colo. The theme of the workshop was “From Big Data to Smart Data” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forward to advance twenty-first...

Hsu, Leslie
Hsu, L., 2021, U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data: U.S. Geological Survey Open-File Report 2020–1132, 48 p., https://doi.org/10.3133/ofr20201132.