MAPPING in MATLAB. ANALYZE AND VISUALIZE GEOGRAPHIC INFORMATION

Mapping Toolbox provides algorithms, functions, and an app for analyzing geographic data and creating map displays in MATLAB. You can import vector and raster data from a wide range of file formats and web map servers. The toolbox lets you subset and customize data using trimming, interpolation, resampling, coordinate transformations, and other techniques. Geospatial 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. By incorporating mapping functions into MATLAB programs, you can automate frequent tasks in your geospatial workflow. The most important characteristics in Mapping Toolbox are the following: . Vector and raster data import and export . Custom raster map retrieval from Web Map Services (WMS) servers . Web map display with dynamic base maps from OpenStreetMap and other sources . 2D and 3D map display, customization, and interaction . Digital terrain and elevation model analysis functions . Geometric geodesy functions, including 2D and 3D coordinate transformations and more than 65 map projections Mapping Toolbox functions handle many of the details of loading and displaying geospatial data, and use built-in data structures that facilitate data storage. Spatial data refers to data describing location, shape, and spatial relationships. Geospatial data is spatial data that is in some way georeferenced, or tied to specific locations on, under, or above the surface of a planet. The Map Viewer app is an interactive tool for browsing map data. With it you can: . Assemble layers of vector and raster geodata and render them in 2-D . Import, reorder, symbolize, hide, and delete data layers . Identify coordinate locations . List data attributes . Display selected data attributes as datatips (signposts that identify attribute values, such as place names or route numbers)