Журнал микробиологии, эпидемиологии и иммунобиологии. 2017; : 39-45
ОПЫТ ИСПОЛЬЗОВАНИЯ МЕТОДА МАКСИМАЛЬНОЙ ЭНТРОПИИ (MAXENT) ДЛЯ ЗОНИРОВАНИЯ ТЕРРИТОРИИ ПО РИСКУ ЗАРАЖЕНИЯ ГЛПС НА ПРИМЕРЕ НИЖЕГОРОДСКОЙ ОБЛАСТИ
Солнцев Л. А., Лубянский В. М.
https://doi.org/10.36233/0372-9311-2017-5-39-45Аннотация
Список литературы
1. Джиллер П. Структура сообществ и экологическая ниша. М., Мир, 1988.
2. Санитарно-эпидемиологические правила СП 3.1.7.2614-10 «Профилактика геморрагической лихорадки с почечным синдромом», утвержд. Постановлением Главного санитарного врача от 26 апреля 2010 г., № 38.
3. Corsi F., de Leeuw J., Skidmore A. Modeling species distribution with GIS. In: Boitani L., Fuller T. (Eds.). Research techniques in animal ecology. New York, Columbia University Press, 2000, p. 389-434.
4. Crippen R. E. Calculating the Vegetation Index Faster. Remote Sensing of Environment. 1990. 34: 71-73.
5. Elith J., Leathwick J.R. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution and Systematics. 2009, 40: 677-697.
6. Elith J., Phillips S. J., Hastie T. et al. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions. 2011,17: 43-57.
7. Franklin J. Mapping species dist ributions: spatial inference and prediction. Cambridge University Press, 2009.
8. Gaston A., Garcia-VihasJ.i. Modelling species distributions with penalized logistic regressions: A comparison with maximum entropy models. Ecol. Model. 2011, 222 (13): 2037-2041.
9. Guisan A., Zimmerman N.E. Predictive habitat distribution models in ecology. Ecol. Model. 2000, 135: 147-186.
10. Liu H.-N., Gao- L.-D., Chowell G. et al. Time-specific ecologic niche models forecast the risk of haemorrhage fever with renal syndrome in Dongting Lake District, China, 2005-2010. PLOS ONE. 2014, 9 (9): el06839.
11. L Merow C., Smith M.J., Silander J.A. A practical guide to Maxent for modeling species1 distributions: what it does, and whv inputs and settings matter. Ecography. 2013, 36 (Ю): 1058-1069.
12. Phillips S.J., Anderson R.P., Schapire R.E. Maximum entropy modeling of species geographic distributions. Ecol. Mod. 2006, 190: 231-259.
13. Phillips S.J., Dudik M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography. 2008, 31: 161-175.
14. Wei L., Qian Q., Wang Z.Q. et al. Using geographic information system-based ecologic niche models to forecast the risk of hantavirus infection in Shandong Province, China. Am. J. Trop. Med. Hyg. Mar. 2011, 84 (3): 497-503.
15. Zeimes C.B., Olsson G.E., Ahlm C. Modelling zoonotic diseases in humans: comparison of methods for hantavirus in Sweden. Int. J. Health Geogr. 2012, 11: 39.
Journal of microbiology, epidemiology and immunobiology. 2017; : 39-45
EXPERIENCE OF USING MAXIMAL ENTROPY METHOD (MAXENT) FOR ZONING OF THE TERRITORY BY HERS RISK USING NIZHNY NOVGOROD REGION AS AN EXAMPLE
Solntsev L. A., Dubyansky V. M.
https://doi.org/10.36233/0372-9311-2017-5-39-45Abstract
References
1. Dzhiller P. Struktura soobshchestv i ekologicheskaya nisha. M., Mir, 1988.
2. Sanitarno-epidemiologicheskie pravila SP 3.1.7.2614-10 «Profilaktika gemorragicheskoi likhoradki s pochechnym sindromom», utverzhd. Postanovleniem Glavnogo sanitarnogo vracha ot 26 aprelya 2010 g., № 38.
3. Corsi F., de Leeuw J., Skidmore A. Modeling species distribution with GIS. In: Boitani L., Fuller T. (Eds.). Research techniques in animal ecology. New York, Columbia University Press, 2000, p. 389-434.
4. Crippen R. E. Calculating the Vegetation Index Faster. Remote Sensing of Environment. 1990. 34: 71-73.
5. Elith J., Leathwick J.R. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution and Systematics. 2009, 40: 677-697.
6. Elith J., Phillips S. J., Hastie T. et al. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions. 2011,17: 43-57.
7. Franklin J. Mapping species dist ributions: spatial inference and prediction. Cambridge University Press, 2009.
8. Gaston A., Garcia-VihasJ.i. Modelling species distributions with penalized logistic regressions: A comparison with maximum entropy models. Ecol. Model. 2011, 222 (13): 2037-2041.
9. Guisan A., Zimmerman N.E. Predictive habitat distribution models in ecology. Ecol. Model. 2000, 135: 147-186.
10. Liu H.-N., Gao- L.-D., Chowell G. et al. Time-specific ecologic niche models forecast the risk of haemorrhage fever with renal syndrome in Dongting Lake District, China, 2005-2010. PLOS ONE. 2014, 9 (9): el06839.
11. L Merow C., Smith M.J., Silander J.A. A practical guide to Maxent for modeling species1 distributions: what it does, and whv inputs and settings matter. Ecography. 2013, 36 (Yu): 1058-1069.
12. Phillips S.J., Anderson R.P., Schapire R.E. Maximum entropy modeling of species geographic distributions. Ecol. Mod. 2006, 190: 231-259.
13. Phillips S.J., Dudik M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography. 2008, 31: 161-175.
14. Wei L., Qian Q., Wang Z.Q. et al. Using geographic information system-based ecologic niche models to forecast the risk of hantavirus infection in Shandong Province, China. Am. J. Trop. Med. Hyg. Mar. 2011, 84 (3): 497-503.
15. Zeimes C.B., Olsson G.E., Ahlm C. Modelling zoonotic diseases in humans: comparison of methods for hantavirus in Sweden. Int. J. Health Geogr. 2012, 11: 39.
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