gmt
The Generic Mapping Tools
AI summary
Data visualization toolkit
A collection of command-line tools for manipulating geographic and Cartesian data sets, producing high-quality illustrations, and supporting various map projections.
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Similar projects
Found by comparing what the projects do, not just their names.
GMT wrapper
A Julia wrapper for the Generic Mapping Tools (GMT) to provide a modern interface and simplify GMT usage.
GMT interface
An interface allowing MATLAB users to access and utilize GMT modules in their scripts
Map processor
A Python interface to process geospatial and geophysical data and create publication-quality maps
Colormap library
Provides a collection of oceanography-themed colormaps for mapping tools.
3D visualization toolkit
Provides 3D visualization tools and statistics for ggplot2
Geostatistical toolbox
A comprehensive toolkit for geostatistical modeling and analysis, providing functions for data processing, visualization, and simulation.
Data visualization tool
A package that generates various types of categorical data visualizations using ggplot2.
Chart toolkit
A visualization toolkit for creating brick-like charts with varying aesthetics and customization options.
Plotting tool
A package that enables plotting of Bioconductor S4 classes directly within ggplot2 without conversion to base R data structures.
Data visualizer
A tool for visualizing distribution patterns in data using density plots and scatter plots with ridgelines
Spatial data mapper
A framework for interacting with spatial data using ggplot2 as a plotting backend
Data charting library
A package that simplifies data visualization in R by providing a high-level interface to create common charts with minimal code and configuration.
Land analysis toolkit
Develops algorithms and integrates satellite data from Google Earth Engine to analyze land surface changes and track environmental patterns.
Maps
A collection of spatial visualizations and maps created using various tools and techniques.
Geo JSON toolkit
A set of utilities and data models for working with geographical data in Scala
Featured in 3 awesome lists
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