Geocube
Abstract
NOTICE: Geocube has been replaced by EDX Spatial, a modern geospatial platform to map, visualize, query and explore spatial data. Online web mapping tool for visualization and simple analysis of Earth-energy data files from public and DOE related sources. Geocube allows users to upload and visualize their own datasets but also comes preloaded with individual spatial datasets as well as spatial data collections that align to topical themes.
- Authors:
- Publication Date:
- Other Number(s):
- 9f611aff-55f9-4715-9676-2393a6918ca1
- DOE Contract Number:
- 1022409
- Research Org.:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Keywords:
- Earth,GIS,carbon storage,consumption,customize,download,energy,environmental,fault,gas,geodatabase,geographic,hydrocarbon,infrastructure,offshore,oil,onshore,permeability,pipeline,porosity,pressure,production,reservoir,sequestration,shapefile,subsurface,surface,temperature,thickness,transmission,unconventional,visualization,well
- OSTI Identifier:
- 1471973
- DOI:
- https://doi.org/10.18141/1471973
Citation Formats
Administrator, EDX. Geocube. United States: N. p., 2018.
Web. doi:10.18141/1471973.
Administrator, EDX. Geocube. United States. doi:https://doi.org/10.18141/1471973
Administrator, EDX. 2018.
"Geocube". United States. doi:https://doi.org/10.18141/1471973. https://www.osti.gov/servlets/purl/1471973. Pub date:Sat Jun 30 00:00:00 EDT 2018
@article{osti_1471973,
title = {Geocube},
author = {Administrator, EDX},
abstractNote = {NOTICE: Geocube has been replaced by EDX Spatial, a modern geospatial platform to map, visualize, query and explore spatial data. Online web mapping tool for visualization and simple analysis of Earth-energy data files from public and DOE related sources. Geocube allows users to upload and visualize their own datasets but also comes preloaded with individual spatial datasets as well as spatial data collections that align to topical themes.},
doi = {10.18141/1471973},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {6}
}
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