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Some of the free software mentioned here does not have detailed maps (or maps at all) or the ability to follow streets or type in street names (no geocoding). However, in many cases, it is also that which makes the program free (and sometimes open source [ 1 ] ), avoid the need of an Internet connection, [ 2 ] [ 3 ] [ 4 ] and make it very ...
OpenStreetMap is freely licensed under the Open Database License and is commonly used to make electronic maps, inform turn-by-turn navigation, and assist in humanitarian aid and data visualisation. OpenStreetMap uses its own topology [clarification needed] to store geographical features which can then be exported into other GIS file formats.
Organic Maps is a free and open-source, offline navigation app that uses map data from OpenStreetMap. The application is designed to function without internet connectivity by downloading maps for offline use. Organic Maps emphasizes privacy, as it does not track user locations or collect personal data. [2] [3] [4] [5]
Google Earth is a web and computer program that renders a 3D representation of Earth based primarily on satellite imagery.The program maps the Earth by superimposing satellite images, aerial photography, and GIS data onto a 3D globe, allowing users to see cities and landscapes from various angles.
This is a list of free and open-source software for geological data handling and interpretation. The list is split into broad categories, depending on the intended use of the software and its scope of functionality. Notice that 'free and open-source' requires that the source code is available and users are given a free software license.
Free: up to 7 downloads; In-App purchase for unlimited downloads (also unlocks all of the features except for contour lines, ... Windows Maps: Here Maps:
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This is designed for transit routes, but is easily applicable for creating maps of roads, rivers, and other linear objects. For maps of shapes (neighborhoods, parks, historic districts, campuses, and most other present-day sites), see Wikipedia:Creating shape maps from OpenStreetMap data. This tutorial requires basic knowledge of: