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Process / pipelineMachine learning

Uundaji wa Niche

Uundaji wa niche, unaojulikana pia kama uundaji wa usambazaji wa spishi (SDM), hutabiri eneo la kijiografia na kufaa kwa makazi ya spishi kwa kutumia data ya uwepo pekee au data ya uwepo-mandharinyuma na vigezo vya kimazingira. MaxEnt (Maximum Entropy, Phillips et al. 2006) na GARP (Genetic Algorithm for Rule-set Prediction, Stockwell & Peters 1999) ni algoriti mbili mashuhuri. Njia hizi hutambua hali za kimazingira ambazo spishi zinaweza kuwepo, kuwezesha utabiri wa usambazaji zaidi ya maeneo yaliyochunguzwa na tathmini ya kufaa kwa makazi katika mandhari mbalimbali.

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Vyanzo

  1. Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. DOI: 10.1016/j.ecolmodel.2005.03.026
  2. Stockwell, D. R., & Peters, D. P. (1999). The GARP modelling system: problems and solutions to automated spatial prediction. International Journal of Geographical Information Science, 13(2), 143-158. DOI: 10.1080/136588199241391
  3. Elith, J., Phillips, S. J., Hastie, T., Dudik, M., Chee, Y. E., & Yates, C. J. (2011). A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17(1), 43-57. DOI: 10.1111/j.1472-4642.2010.00725.x

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Niche Modeling (MaxEnt and GARP). ScholarGate. https://scholargate.app/sw/ecology/niche-modeling

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Imerejelewa na

ScholarGateNiche Modeling (Niche Modeling (MaxEnt and GARP)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/ecology/niche-modeling · Seti ya data: https://doi.org/10.5281/zenodo.20539026