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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.
Survex is free and open-source cave surveying software, licensed under the GNU GPL. It is designed to be portable and can be run on a variety of platforms, including Microsoft Windows, Mac OS X, and Unix-like. Survex is very powerful cave survey software, and is actively developing into a complete cave visualization package.
Surveying data and maps are in Therion format. Auriga free software for Palm OS for in-cave surveying with bidirectional data exchange provided with Compass, Survex, Therion, GH Topo/Toporobot, VisualTopo and Walls. BCRA Cave Surveying Group, Compass Points 33. Short review of Therion and other survey software packages (German).
MESA is a seismic survey design software currently owned by ION Geophysical. [1] The software provides set of tools for optimizing onshore, offshore and transition zone survey design and planning. The software comes with three licenses namely, MESA field, MESA Professional and MESA Expert. [2]
Harvey, Bruce R., "Practical least squares and statistics for surveyors", Monograph 13, Third Edition, School of Surveying and Spatial Information Systems, University of New South Wales, 2006 Huaan Fan, "Theory of Errors and Least Squares Adjustment", Royal Institute of Technology (KTH), Division of Geodesy and Geoinformatics, Stockholm, Sweden ...
In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data.This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable.
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For example, in statistical parsing a dynamic programming algorithm can be used to discover the single most likely context-free derivation (parse) of a string, which is commonly called the "Viterbi parse". [4] [5] [6] Another application is in target tracking, where the track is computed that assigns a maximum likelihood to a sequence of ...