GMT Modules

Complete reference documentation for all GMT plotting and processing modules.

Core Programs

Core GMT programs.

Supplements

Supplemental GMT programs.

GMT.jl Extensions

Additional plotting functions and data access utilities that extend GMT’s core capabilities

Plotting (GMT) programs

Grid operations

Work with gridded datasets

Data Processing

Filter, transform, and analyze data

Core Programs

Plot base maps and frames.

Block average (x,y,z) data tables by mean estimation.

Block average (x,y,z) data tables by median estimation

Block average (x,y,z) data tables by mode estimation

Initialize or terminate polygonal clip paths

Plot continents, countries, shorelines, rivers, and borders

Plot gray scale or color scale bar

Contour table data by triangulation

Directional filtering of grids in the space domain

Plot event symbols, lines, polygons and labels for one moment in time

Time domain filtering of 1-D data tables

Find mean position and best-fit great or small circle

Convert tables to KML files for Google Earth

Bin spatial data and compute various statistics

Connect individual lines whose end points match

Convert, paste, or extract columns from tables

List current GMT default settings

Get information about data tables

Plot the GMT & Julia logos

Reverse Polish Notation calculator for data tables

Linear regression of 1-D data sets

Select data table subsets based on multiple spatial criteria

Change individual GMT default parameters

Line reduction using the Douglas-Peucker algorithm

Geospatial operations on points, lines and polygons

Split xyz[dh] data tables into individual segments

Find full path to specified files

Make linear or histogram-equalized color palette from grid

Create KML image quadtree from single grid

Convert grid to data table

Clip the range of grid values

Make contour map using a grid

Extract subregion from a grid

Modify header or content of a grid

Mathematical operations on grids in the spectral domain

Fill blank areas in grids

Filter a grid in the space or time domain

Compute directional gradients from a grid

Perform histogram equalization for a grid

Project and plot grids or images

Extract information from grids

Create “wet-dry” mask grid from shoreline data base

Create mask grid from polygons or point coverage

Reverse Polish Notation calculator for grids

Join two grids along their common edge

Forward and inverse map transformation of grids

Resample a grid onto a new lattice

Sample grids at specified (x,y) locations

Fit trend surface to grids and compute residuals

Plot vector field from two component grids

Create 3-D perspective image or surface mesh from a grid

Calculate grid volume and area constrained by a contour

Interpolate using Green’s functions for splines

Plot a histogram

Plot raster or EPS images

Manage figure inset setup and completion

Extract GMT table data from Google Earth KML files

Plot a legend

Make GMT color palette tables

Forward and inverse map transformations of 2-D coordinates

Clip or mask map areas with no data coverage

Create animation sequences and movies

Grid table data using a “Nearest neighbor” algorithm

Plot lines, polygons, and symbols

Plot lines, polygons, and symbols in 3-D

Project data onto lines or great circles

Plot a polar histogram (rose diagram)

Resample 1-D table data using splines

Plot day-light terminators and other sunlight parameters

Compute auto- and cross-spectra from one or two time series

Compute grid from spherical harmonic coefficients

Create Voronoi distance, node, or natural nearest-neighbor grid on a sphere

Spherical gridding in tension of data on a sphere

Delaunay or Voronoi construction of spherical data

Split xyz[dh] data tables into individual segments

Manage modern mode figure subplot configuration and selection

Grid table data using adjustable tension continuous curvature splines

Plot data on ternary diagrams

Plot or typeset text

Fit a polynomial trend to time series

Fit a polynomial trend to grids

Delaunay triangulation or Voronoi partitioning and gridding

Plot z = f(x,y) anomalies along tracks

Convert data table to a grid

Supplements

Compute grids or time-series of solid Earth tides

Extract a subset from an img file in Mercator or Geographic format

Compute flexural deformation of 2-D loads, forces, and bending moments.

Converting SEGY data to a grid.

Finite rotation reconstruction of geographic grid.

Interpolate GPS velocities using Green’s functions for elastic deformation.

Convert MGD77 data to other formats.

Spectral calculations of gravity, isostasy, admittance, and coherence for grids.

Plot a SEGY file in 2-D.

Plot a SEGY file in 3-D.

Create CVA grid from a gravity or topography grid.

Plot velocity vectors, crosses, anisotropy bars and wedges.

Evaluate the IGRF or CM4 magnetic field models.

Plot track-lines of MGD77 cruises.

Compute the gravity/magnetic anomaly of a 3-D body by the method of Okabe.

Create CVA grid from seamount locations.

Compute geopotential anomalies over 3-D vertical prisms.

Plot cross-sections of focal mechanisms.

Associate seamounts with nearest hotspot point sources.

Compute flexural deformation of 3-D surfaces for various rheologies.

Plot focal mechanisms.

Evaluate a plate motion model at given locations.

Computes the gravity effect of one (or two) grids by the method of Okabe.

Read seismicity data in the ISF formated file.

Find stage poles given fracture zones and abyssal hills.

Compute the Continuous Reduction To the Pole, AKA differential RTP.

Plot polarities on the lower hemisphere of the focal sphere.

Manipulate total reconstruction and stage rotations.

Create synthetic seamounts (Gaussian, parabolic, polynomial, cone or disc; circular or elliptical).

Plot seismograms in SAC format.

Get mean rotations and covariance matrices from set of finite rotations.

Compute geopotential anomalies over 2-D bodies by the method of Talwani.

Compute geopotential anomalies over 3-D bodies by the method of Talwani

Generate forward and backward flowlines and hotspot tracks.

Evaluate a plate motion model on a geographic grid.

Plot wind barb field from two component grids.

Plotting Programs

Programs for creating maps, plots, charts, and other visualizations.

Plot arrow fields.

Plot line with symmetrical or asymmetrical band.

Plot bar graph.

Plot 3D bar graph.

Plot base maps and frames.

Create 2D biplot of PCA analysis.

Draw box-and-whisker plot.

Plot bubbles at (x,y) locations.

Plot continents, shorelines, rivers, and borders on maps.

Plot a gray or color scale-bar on maps.

Contour plot from table data by direct triangulation.

Create filled contour maps.

Density plots of multi-dimensional data combinations.

Extract or plot named geographic regions.

Plot empirical cumulative distribution function.

Plot arrows originating from x-axis.

Fill area between two horizontal curves.

Make contour plot or map (using a projection) from a grid.

Project grids or images and plot them on maps.

Create 3-D perspective image or surface mesh from a grid.

Plot horizontal bands (see vband).

Calculate and plot histograms.

Plot horizontal reference lines.

Makes legends that can be overlaid on maps.

Plot lines with decoration options.

Plot the GMT logo.

Scatter plot with marginal histograms.

Create parallel coordinates plots.

Plot tectonic plate reconstructions.

Create colored cells plot.

Create pie charts.

Reads (x,y) pairs and plot lines, polygons, or symbols with different levels of decoration.

Plot data with fitted line.

Compare quantiles of two distributions.

Plot vector fields from component grids.

Create radar/spider plots.

Plot symbols at (x,y) locations.

Plot symbols at (x,y,z) locations.

Plot earthquake data from USGS.

Plot stairstep graphs.

Plot data as stems from baseline.

Plot stereonets for structural geology.

Compute and plot 2D streamlines.

Plot data on ternary diagrams.

Plot 2D triangulation or Voronoi polygons.

Plot 3D triangular surfaces.

Plot vertical or horizontal bands.

Create violin plots.

Plot vertical reference lines.

Grid Operations

Functions for creating, modifying, and analyzing gridded datasets.

Make linear or histogram-equalized color palette from grid

Convert grid to data table

Clip the range of grid values

Extract subregion from a grid

Modify header or content of a grid

Mathematical operations on grids in the spectral domain

Fill blank areas in grids

Filter a grid in the space or time domain

Compute directional gradients from a grid

Perform histogram equalization for a grid

Extract information from grids

Create “wet-dry” mask grid from shoreline data base

Create mask grid from polygons or point coverage

Reverse Polish Notation calculator for grids

Join two grids along their common edge

Forward and inverse map transformation of grids

Resample a grid onto a new lattice

Sample grids at specified (x,y) locations

Fit trend surface to grids and compute residuals

Calculate grid volume and area constrained by a contour

Data Processing

Functions for filtering, transforming, and analyzing data.

Block average (x,y,z) data tables by mean estimation

Block average (x,y,z) data tables by median estimation

Block average (x,y,z) data tables by mode estimation

Time domain filtering of 1-D data tables

Find mean position and best-fit great or small circle

Connect individual lines whose end points match

Convert, paste, or extract columns from tables

Reverse Polish Notation calculator for data tables

Select data table subsets based on multiple spatial criteria

Line reduction using the Douglas-Peucker algorithm

Geospatial operations on points, lines and polygons

Interpolate using Green’s functions for splines

Make GMT color palette tables

Grid table data using a “Nearest neighbor” algorithm

Compute auto- and cross-spectra from one or two time series

Grid table data using adjustable tension continuous curvature splines

Fit a polynomial trend to time series

Fit a polynomial trend to grids

Delaunay triangulation or Voronoi partitioning and gridding

Convert data table to a grid