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TwitterMIT Licensehttps://opensource.org/licenses/MIT
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Vermont extract of Uber's H3 Hexagonal Hierarchical Spatial Index, at resolution level 6, approximately 3 km per edge, for indexing locations. Extracted from Uber's dataset at https://eng.uber.com/h3/ via FME's H3HexagonalIndexer transformer, for all filling indexes within and intersecting with the Vermont State Boundary in July 2022.Field Descriptions:_h3index / H3 INDEX: Uber-assigned unique identifier per each individual hexagon at any resolution level._h3res / H3 RESOLUTION LEVEL: Uber-assigned index resolution level between 0 and 15, with 0 being coarsest and 15 being finest.
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TwitterAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
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This dataset provide information about population density all over the world.
Data have been compiled from Kontur as a GeoPackage (gpkg) file format [1], 22km global hexagon population grid. Values represent number of people in cell.
GeoPackage format have been converted to Comma Separated Values format (GPKG to CSV) using by Geopandas Python library.
It contains 3 columns; H3 code, population and geometry.
- H3 is a hierarchical geospatial index that refers to cells within a spatial hierarchy..
- Population refers a group of organisms of the same species who inhabit the same particular geographical area and are capable of interbreeding [2].
- Geometry column contains polygons that store their geographic representation.
The dataset is of interest to GIS researchers, social surveyors, and geospatial data enthusiasts.
All the best!
[1] This format was published in 2014; defined by the OGC (Open Geospatial Consortium). Various governments, commercial, and open source organizations widely support the GeoPackage.
[2] "Definition of population (biology)". Oxford Dictionaries. Oxford University Press.
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TwitterSpatial statistics were calculated for the following variables based on the listed source data. Variables were summarized to the Uber H3 hierarchical geospatial index at resolution 3. At this resolution, each unique hexagonal cell covers approximately 12,393 square kilometers. The resulting analyses were joined and published as a feature service. Uber H3 hexagons (resolution 2-6) as hosted feature service can be accessed here.H4 ~1770km2H5 ~253km2 H6 ~36km2Bathymetry and Slope data from GEBCO 2024Blue Carbon data derived from North American Blue Carbon Atlas and Global Mangrove Watch 2020Deepsea Coral data from NOAA's Deep Sea Coral Program database (August 2024)Distance from Shore data from Pacific Islands Ocean Observing System Fishing hours from Global Fishing Watch Hydrographic survey data from National Ocean Service Hydrographic Data Lithology data from Seafloor Lithology (Version 1.0) Marine Protected Area data from NOAA's MPA InventoryOBIS Marine Biodiversity indicators data from OBIS and NOAA IOOS program.Exploration data from NOAA Office of Ocean ExplorationBenthic Animal Guide data from NOAA's National Centers for Environmental InformationRemotely Operated Vehicle (ROV) dive locations and sample data from NOAA''s Office of Ocean ExplorationOil and Gas platform data from NOAA's Marine Cadastre Level of Fishing Protection and Marine Managed Areas data from ProtectedSeas NavigatorSeamount data from Global Distribution of Seamounts and KnollsSubmarine Cables data from Global Distribution of Seamounts and Knolls
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Vermont extract of Uber's H3 Hexagonal Hierarchical Spatial Index, at resolution level 6, approximately 3 km per edge, for indexing locations. Extracted from Uber's dataset at https://eng.uber.com/h3/ via FME's H3HexagonalIndexer transformer, for all filling indexes within and intersecting with the Vermont State Boundary in July 2022.Field Descriptions:_h3index / H3 INDEX: Uber-assigned unique identifier per each individual hexagon at any resolution level._h3res / H3 RESOLUTION LEVEL: Uber-assigned index resolution level between 0 and 15, with 0 being coarsest and 15 being finest.