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Genetic Algorithm For Rule Set Production
Genetic Algorithm for Rule Set Production (GARP) is a computer program based on genetic algorithm that creates Environmental niche modelling, ecological niche models for species. The generated models describe environmental conditions (precipitation, temperatures, elevation, etc.) under which the species should be able to maintain populations. As input, local observations of species and related environmental parameters are used which describe potential limits of the species' capabilities to survive. Such environmental parameters are commonly stored in geographical information systems. A GARP model is a random set of mathematical rules which can be read as limiting environmental conditions. Each rule is considered as a gene; the set of genes is combined in random ways to further generate many possible models describing the potential of the species to occur. See also *Environmental niche modelling References * Stockwell, D. R. B. 1999. Genetic algorithms II. Pages 123–144 in A ...
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Genetic Algorithm
In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection. Some examples of GA applications include optimizing decision trees for better performance, solving sudoku puzzles, hyperparameter optimization, etc. Methodology Optimization problems In a genetic algorithm, a population of candidate solutions (called individuals, creatures, organisms, or phenotypes) to an optimization problem is evolved toward better solutions. Each candidate solution has a set of properties (its chromosomes or genotype) which can be mutated and altered; traditionally, solutions are represented in binary as strings of 0s and 1s, but other encodings are also p ...
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Environmental Niche Modelling
Species distribution modelling (SDM), also known as environmental (or ecological) niche modelling (ENM), habitat modelling, predictive habitat distribution modelling, and range mapping uses computer algorithms to predict the distribution of a species across geographic space and time using environmental data. The environmental data are most often climate data (e.g. temperature, precipitation), but can include other variables such as soil type, water depth, and land cover. SDMs are used in several research areas in conservation biology, ecology and evolution. These models can be used to understand how environmental conditions influence the occurrence or abundance of a species, and for predictive purposes ( ecological forecasting). Predictions from an SDM may be of a species’ future distribution under climate change, a species’ past distribution in order to assess evolutionary relationships, or the potential future distribution of an invasive species. Predictions of current and/or ...
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Geographical Information Systems
A geographic information system (GIS) is a type of database containing geographic data (that is, descriptions of phenomena for which location is relevant), combined with software tools for managing, analyzing, and visualizing those data. In a broader sense, one may consider such a system to also include human users and support staff, procedures and workflows, body of knowledge of relevant concepts and methods, and institutional organizations. The uncounted plural, ''geographic information systems'', also abbreviated GIS, is the most common term for the industry and profession concerned with these systems. It is roughly synonymous with geoinformatics and part of the broader geospatial field, which also includes GPS, remote sensing, etc. Geographic information science, the academic discipline that studies these systems and their underlying geographic principles, may also be abbreviated as GIS, but the unambiguous GIScience is more common. GIScience is often considered a subdisci ...
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Lifemapper
Lifemapper is building a species diversity map of the world. It is similar to the SETI@Home client, in that it uses a volunteer computing client running primarily on home user's computers to correlate georeferenced biological samples with environmental models of the Earth. It is an experimental GIS, or Geographic Information System, that uses a special genetic algorithm to see if predicted rules about where a species lives match up with the species' observed natural settings. It is hoped that this technique will be able to both represent a current "map" of all organisms habitats on Earth as well as predict where organisms may possibly thrive or face extinction due to climate change and other ecological transformations. See also * List of volunteer computing projects * Environmental niche modelling Species distribution modelling (SDM), also known as environmental (or ecological) niche modelling (ENM), habitat modelling, predictive habitat distribution modelling, and range mapp ...
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