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Mapping Toolbox

Analyze and visualize geographic information

Mapping Toolbox™ provides algorithms and functions for transforming geographic data and creating map displays. You can visualize your data in a geographic context, build map displays from more than 60 map projections, and transform data from a variety of sources into a consistent geographic coordinate system.

Mapping Toolbox supports a complete workflow for managing geographic data. You can import vector and raster data from a wide range of file formats and web map servers. The toolbox lets you process and customize data using trimming, interpolation, resampling, coordinate transformations, and other techniques. Data can be combined with base map layers from multiple sources in a single map display. You can export data in file formats such as shapefile, GeoTIFF, and KML.

What Is Mapping Toolbox?

Geographic Data Import and Export

Import vector and raster GIS and geospatial data into the MATLAB^® environment. Export and raster data to standard formats and share with Geographic Information Systems and other geospatial applications.

Documentation | Examples

2D and 3D Map Displays

Combine vector and raster data sets in a single display, and create contour displays and other types of thematic maps.

Documentation | Examples

A composite 3D map of San Francisco created with functions in Mapping Toolbox.

Terrain and Elevation Analysis

Visualize and Analyze 3D data such as digital terrain, bathymetry, and other gridded-data products. Calculate gradient, slope, aspect, line-of-sight visibility, and viewsheds.

Documentation | Examples

Geospatial Data Processing

Perform geodetic calculations that account for the curvature of Earth and other planetary bodies.

Documentation | Examples

Product Resources:

Documentation Code examples Videos Product requirements Release notes

“Soon after ForWarn moved into production, it detected previously unnoticed hail damage that posed a threat to a watershed. We would not have been able to do this work as efficiently without MATLAB.”
Duane Armstrong, NASA Stennis Space Center

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