noaa-ngdc-global-self-consistent-hierarchical-high-resolution-geography-database
Paul Wessel and Walter H. F. Smith

folder gshhg (6 files)
filegshhg-bin-2.3.7.zip 118.62MB
filegshhg-gmt-2.3.7.tar.gz 57.05MB
filegshhg-shp-2.3.7.zip 149.16MB
filereadme.txt 15.06kB
Type: Dataset

Metadata:
@article{,
title= {noaa-ngdc-global-self-consistent-hierarchical-high-resolution-geography-database},
journal= {},
author= {Paul Wessel and Walter H. F. Smith},
year= {},
url= {https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html},
abstract= { Global Self-consistent, Hierarchical, High-resolution Geography Database (GSHHG) is a high-resolution geography data set, amalgamated from two databases: World Vector Shorelines (WVS) and CIA World Data Bank II (WDBII). The former is the basis for shorelines while the latter is the basis for lakes, although there are instances where differences in coastline representations necessitated adding WDBII islands to GSHHG. The WDBII source also provides political borders and rivers. GSHHG data have undergone extensive processing and should be free of internal inconsistencies such as erratic points and crossing segments. The shorelines are constructed entirely from hierarchically arranged closed polygons.

GSHHG combines the older GSHHS shoreline database with WDBII rivers and borders, available in either ESRI shapefile format or in a native binary format. Geography data are in five resolutions: crude(c), low(l), intermediate(i), high(h), and full(f). Shorelines are organized into four levels: boundary between land and ocean (L1), boundary between lake and land (L2), boundary between island-in-lake and lake (L3), and boundary between pond-in-island and island (L4). Datasets are in WGS84 geographic (simple latitudes and longitudes; decimal degrees).

GSHHG is released under the GNU Lesser General Public license, and is developed and maintained by Dr. Paul Wessel, SOEST, University of Hawai'i, and Dr. Walter H. F. Smith, NOAA Laboratory for Satellite Altimetry. Please notify Dr. Paul Wessel and Dr. Walter H.F. Smith if any changes are made to the GSHHG data set for commercial use. },
keywords= {NOAA, NGDC, shoreline, coastline, WVS, WDBII},
terms= {},
license= {},
superseded= {}
}

Citation:
Wessel, P. & Smith, W. H. F.. (2025). noaa-ngdc-global-self-consistent-hierarchical-high-resolution-geography-database [Data set]. Academic Torrents. https://academictorrents.com/details/c2761718707de6963191e7e20855e8a90bdd9a8d
No stats to report yet.
Related Torrents

Send Feedback Start
   0.000011
DB Connect
   0.000790
Lookup hash in DB
   0.000752
Get torrent details
   0.000237
Get torrent details, finished
   0.000420
Get authors
   0.000053
Parse bibtex
   0.000233
Write header
   0.000452
get stars
   0.000195
home tab
   0.000549
render right panel
   0.000009
render ads
   0.000847
fetch current hosters
   0.000410
Start get stats
   0.000788
End get stats
   0.000003
related datasets
   0.005224
Done