Mapping Toolbox

 

Mapping Toolbox

Analyze and visualize geographic information

Video length is 1:59
Map showing imported geographic data, including footpaths and subway entrances, overlaid on a basemap with latitude and longitude coordinates.

Geospatial Data Import and Export

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

Map of an arctic region showing sea ice concentration, with colors ranging from dark blue to white to represent increasing ice coverage from 0 to 100 percent.

2D Map Displays

Visualize data on interactive maps. Create maps in specified projections using map axes, or display data over basemaps using geographic axes.

3D Map Displays

Visualize geographic data in 3D using interactive globe and terrain displays. Use globes to visualize terrain and buildings over basemaps, or use relief maps to drape data over terrain with customized shading and lighting.

Map of Boston showing extracted street and pathway networks within a defined area of interest, overlaid on a basemap with latitude and longitude coordinates.

Geospatial Data Analysis

Analyze vector and raster geospatial data, including points, lines, polygons, imagery, and elevation grids. Perform analysis ranging from buffer zones around lines and polygons, to profile, line-of-sight, and viewshed analyses of terrain elevation grids.

A composite map with green lines following a 3D terrain skyline.

Geodesy and 3D Coordinate Transformations

Calculate distances, areas, and paths on spheroidal bodies. Convert 3D locations and vectors between geodetic, Earth-centered, and local coordinate systems.

Bathymetric map generated from scattered depth measurements, displayed in a geographic coordinate reference system with latitude and longitude axes and color‑coded depth values.

Coordinate Reference Systems

Represent locations using geographic or projected coordinate systems. Transform coordinates between systems using map projections that preserve area, shape, or direction.

Geographic map showing a reference application that models signal‑to‑noise ratio around a transmitter, with range rings and color‑coded coverage overlaid on a basemap.

Reference Applications

Explore examples of geospatial data workflows in domains such as autonomous systems, wireless communications, radar, image processing, aerospace, and Earth and climate sciences.

“Being able to simulate our system first allows us to be more efficient. We start from open problems with large technological uncertainty, and we narrow down the scope through simulation.”

Mapping Toolbox FAQs

Mapping Toolbox provides algorithms and functions for transforming geographic data and creating map displays in MATLAB, supporting visualization in a geographic context with more than 60 map projections.

You can import vector and raster data from a wide range of file formats and web map servers, and combine data with base map layers from multiple sources in a single map display.

The toolbox lets you process and customize data using trimming, interpolation, resampling, coordinate transformations, and other techniques to prepare geographic data for analysis and visualization.

Mapping Toolbox supports more than 60 map projections, allowing you to build map displays tailored to specific regions or global views.

You can export data in file formats such as shapefile, GeoTIFF, and KML for use in other Geographic Information Systems and geospatial applications.

The toolbox enables you to visualize and analyze 3D data such as digital terrain and bathymetry, and calculate gradient, slope, aspect, line-of-sight visibility, and viewsheds.

Yes, Mapping Toolbox can perform geodetic calculations that account for the curvature of Earth and other planetary bodies.

Yes, you can combine vector and raster data sets in a single display and create both 2D and 3D visualizations, including contour displays and other types of thematic maps.

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