Geostatistical software performs calculations for geological or geographic phenomena, used in mining, petroleum geology, forestry, and ocean studies. It requires a wide range of predictive and analytical data, and open-source software allows for scalability and customization.
Geostatistical software is used to perform a multitude of calculations performed within geostatistics, which is the analytical and mathematical study of geological or geographic phenomena. The software can calculate large mathematical formulas quickly and efficiently, thus making geostatistics capable of a wide range of functions. This software is used for a wide variety of calculations, including calculating the movements of a particular landmass and predicting the spread of disease within a specific geographic area.
Geostatistics was originally used in mining to predict where certain types of ore would be located. Not only did the statistics allow for more accurate drilling, but they also saved a lot of time and money. Geostatistics is now used in a variety of industries and fields mainly related to geology, but also in other fields that require the use of data relating to movement through space-time. This includes petroleum geology, used primarily by oil companies, forestry, geography, and studies conducted in the ocean, such as the study of dolphin migration. Almost any large-scale event on Earth can be analyzed geostatistically.
To be effective and reliable, geostatistics must use a wide range of predictive and analytical data. Many models are created that can relate possible outcomes, taking into account a multitude of factors. Analyzing and calculating all this data can be extremely difficult and time consuming. Geostatistical software makes these measurements possible, and in many ways it is what allows geostatistics to be a pragmatic discipline. If software weren’t available, much of geostatistics would be useless due to the sheer number of calculations required.
Most geostatistical software is available as open-source, which means it’s free and can be modified. Most packages include some of the most commonly used built-in algorithms. In addition to specific algorithms, geostatistical software can also calculate probabilities, create data models and graphs, and correlate data. The best known of this type is the Geostatistical Software Library (GSLIB), developed at Stanford University. It was written in the Fortran computer language and contains about 80 basic commands, and many of today’s software programs are based on this model.
The advantage of having open source software is scalability. While many of the basic functions needed to calculate geostatistical information are included, some fields of study require more specific types of calculations to be performed. The open source code in most geostatistical software is modular, meaning that it can have other functions added to expand its usability, making it usable in a variety of geostatistically analyzed fields.
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