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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.
Two geofences defined in a GPS application. A geofence is a virtual "perimeter" or "fence" around a given geographic feature. [1] A geofence can be dynamically generated (as in a radius around a point location) or match a predefined set of boundaries (such as school zones or neighborhood boundaries).
Principles of geolocation using GPS. Geopositioning is the process of determining or estimating the geographic position of an object or a person. [1] Geopositioning yields a set of geographic coordinates (such as latitude and longitude) in a given map datum.
GYP (generate your projects) is an obsolete build automation tool created in 2011 by Google. [1] Its purpose was to generate native IDE project files (such as Visual Studio and Xcode ) for building the Chromium web browser and is licensed as open source software using the BSD software license .
Tool Type Description Licensing Getlatlong: Map to coordinates: Move a marker on a Google Maps map (map or satellite view) and get Latitude, Longitude for the location. User interface in English language. Mapcoordinates: Map to coordinates: Move a marker on a Google Maps map (map or satellite view) and get Latitude, Longitude and Elevation for ...
A 2021 transparency report showed that 25% of data requests from law enforcement to Google were geo-fence data requests. [5] Google is the most common recipient of geo-fence warrants and the main provider of such data, [ 4 ] [ 6 ] although companies including Apple , Snapchat , Lyft , and Uber have also received such warrants.
Bazel is extensible with the Starlark programming language. [13] Starlark is an embedded language whose syntax is a subset of the Python syntax. However, it doesn't implement many of Python's language features, such as the ability to access the file I/O, in order to avoid extensions that could create side-effects or create build outputs not known to the build system itself.
Dynamic pricing algorithms usually rely on one or more of the following data. Probabilistic and statistical information on potential buyers; see Bayesian-optimal pricing. Prices of competitors. E.g., a seller of an item may automatically detect the lowest price currently offered for that item, and suggest a price within $1 of that price. [1] [2 ...