gshhg
Extract data tables from binary GSHHG or WDBII data files
Synopsis
gmt gshhg binaryfile.b [ -Amin ] [ -G ] [ -Iid ] [ -L ] [ -Nlevel ] [ -Qe|i ] [ -bobinary ] [ -donodata[+ccol] ] [ -oflags ] [ --PAR=value ]
Note: No space is allowed between the option flag and the associated arguments.
Description
gshhg reads the binary coastline (GSHHG) or political boundary or river (WDBII) files and writes an ASCII (or binary; see -b) listing to standard output. It automatically handles byte-swabbing between different architectures. Optionally, only segment header info can be displayed. The header info has the format ID npoints hierarchical-level source area f_area west east south north container ancestor, where hierarchical levels for coastline polygons go from 1 (shoreline) to 4 (lake inside island inside lake inside land). Source is either W (World Vector Shoreline), C (CIA World Data Bank II), or A (Atlas of the Cryosphere (Antarctica only)); lower case is used if a lake is a river-lake. The west east south north is the enclosing rectangle, area is the polygon area in km2 while f_area is the actual area of the ancestor polygon, container is the ID of the polygon that contains this polygon (-1 if none), and ancestor is the ID of the polygon in the full resolution set that was reduced to yield this polygon (-1 if full resolution since there is no ancestor). For line data the header is simply ID npoints hierarchical-level source west east south north. For more information about the file formats, see Technical Information below.
Required Arguments
- binaryfile.b
GSHHG or WDBII binary data file as distributed with the GSHHG data supplement. Any of the 5 standard resolutions (full, high, intermediate, low, crude) can be used.
Optional Arguments
- -Amin
Only output information for the polygon if its area equals or exceeds min [Default outputs all polygons].
- -G
Write output that can be imported into GNU Octave or Matlab by ending segments with a NaN-record.
- -Iid
Only output information for the polygon that matches id. Use -Ic to get all the continents only [Default outputs all polygons]. See below for the id of the largest polygons.
- -L
Only output a listing of polygon or line segment headers [Default outputs headers and data records].
- -N
Only output features whose level matches the given level [Default will output all levels].
- -Qe|i
Control what to do with river-lakes (river sections large enough to be stored as closed polygons). Use -Qe to exclude them and -Qi to exclude everything else instead [Default outputs all polygons].
- -borecord[+b|l] (more …)
Select native binary format for table output.
- -donodata[+ccol] (more …)
Replace output columns that equal NaN with nodata.
- -ocols[+l][+ddivisor][+sscale|d|k][+ooffset][,…][,t[word]] (more …)
Select output columns and transformations (0 is first column, t is trailing text, append word to write one word only).
Examples
To convert the entire intermediate GSHHG binary data to ASCII files for Octave/Matlab, run
gmt gshhg gshhs_i.b --IO_SEGMENT_MARKER=N > gshhs_i.txt
To only get a listing of the headers for the river data set at full resolution, try
gmt gshhg wdb_rivers_f.b -L > riverlisting.txt
To only extract lakes, excluding river-lakes, from the high resolution file, try
gmt gshhg gshhs_h.b -Ee -N2 > all_lakes.txt
Polygon Levels
The features in GSHHG have 6 levels that can be selected by -N and are listed in the table below:
Level |
Meaning |
|---|---|
1 |
Continents and islands |
2 |
Lakes (regular and river lakes) |
3 |
Islands inside lakes |
4 |
Ponds in islands inside lakes |
5 |
Antarctica via ice/ocean boundary |
6 |
Antarctica via grounding line/ocean boundary |
Specific Polygons
None of the polygons have any name information associated with them (i.e., the metadata does not contain this information). However, here are the largest polygons:
ID |
Landmass |
|---|---|
0 |
Eurasia |
1 |
Africa |
2 |
North America |
3 |
South America |
4 |
Antarctica (AC grounding line) |
5 |
Antarctica (AC ice line) |
6 |
Australia |
7 |
Greenland |
8 |
New Guinea |
9 |
Borneo |
10 |
Madagascar |
11 |
Baffin Island |
12 |
Indonesia |
Data Files
The data files read by gshhg are the native binary polygon files, available from NCEI Shoreline Coastline Resources or the SOEST GSHHG Site. Note that these are different from the netCDF-formatted files used by GMT in the modules gmtselect, grdlandmask, or coast.
Technical Information
Users who wish to access the GSHHG or WDBII data directly from their custom programs should consult the gshhg.c and gshhg.h source code and familiarize themselves with the data format and how various information flags are packed into a single 4-byte integer. While we do not maintain any Octave/Matlab code to read these files we are aware that both MathWorks and IDL have made such tools available to their users. However, they tend not to update their code and our file structure has evolved considerably over time, breaking their code. Here, some general technical comments on the binary data files are given. GSHHG: Continents are identified as the first 6 polygons and can be extracted via the -Ic option. The IDs for the continents are Eurasia (0), Africa (1), North America (2), South America (3), Antarctica (4), and Australia (5). Files are sorted on area from large to small. There are two sub-groups for level 2: Regular lakes and the so-called “river-lakes”, the latter being sections of a river that are so wide to warrant a polygon representation. These river-lakes are flagged in the header (also see -Q). All five resolutions are free of self-intersections. Areas of all features have been computed using a Lambert azimuthal equal-area projection centered on the polygon centroids, using WGS-84 as the ellipsoid. GMT use the GSHHG as a starting point but then partition the polygons into pieces using a resolution-dependent binning system; parts of the world are then rebuilt into closed polygons on the fly as needed. For more information on GSHHG processing, see Wessel and Smith (1996). WDBII. These files contain sets of line segments not necessarily in any particular order. Thus, it is not possible to extract information pertaining to just one river or one country. Furthermore, the 4 lower resolutions derive directly from the full resolution by application of the Douglas-Peucker algorithm (see gshhg_dp), hence self-intersections are increasingly likely as the resolution is degraded. Note that the river-lakes included in GSHHG are also duplicated in the WDBII river files so that each data set can be a stand-alone representation. Users who wish to access both data sets can recognize the river-lakes features by examining the header structure (see the source code for details); they are also the only closed polygons in the WDBII river file. There are many levels (classes) in the river file: River-lakes (0), Permanent major rivers (1), Additional major rivers (2), Additional rivers (3), Minor rivers (4), Intermittent rivers – major (6), Intermittent rivers – additional (7), Intermittent rivers – minor (8), Major canals (10), Canals of lesser importance (11), and Canals – irrigation type (12). For the border file there are three levels: National boundaries (1), Internal domestic boundaries (2), and international maritime boundaries (3). Individual levels or classes may be extracted via -N.
References
Bohlander, J. and T. Scambos. 2007, Antarctic coastlines and grounding line derived from MODIS Mosaic of Antarctica (MOA). Boulder, Colorado USA: National Snow and Ice Data Center. Digital media. Accessed 24 April 2008. Via Atlas of the Cryosphere: https://nsidc.org/MMS/atlas/cryosphere_atlas_north.html.
Douglas, D. H., and T. K. Peucker, 1973, Algorithms for the reduction of the number of points required to represent a digitized line of its caricature, Can. Cartogr., 10, 112–122.
Gorny, A. J., 1977, World Data Bank II General User GuideRep. PB 271869, 10pp, Central Intelligence Agency, Washington, DC.
Soluri, E. A., and V. A. Woodson, 1990, World Vector Shoreline, Int. Hydrograph. Rev., LXVII(1), 27–35.
Wessel, P., and W. H. F. Smith, 1996, A global, self-consistent, hierarchical, high-resolution shoreline database, J. Geophys. Res., 101(B4), 8741–8743, https://doi.org/10.1029/96JB00104.