Resultados de búsqueda - Random variables.

Climate change and tree cover loss affect the habitat suitability of Cedrela angustifolia evaluating climate vulnerability and conservation in Andean montane forests por Ames Martínez, Fressia N., Capcha Romero, Ivan, Guerra, Anthony, Inga Guillen, Janet Gaby, Quispe Melgar, Harold Rusbelth, Galeano, Esteban, Rodríguez Ramírez, Ernesto C

“…Using ecological niche modeling with two algorithms (maximum entropy (MaxEnt) and Random Forest) under the ecological niche conservatism approach, we generated 16,920 models with different combinations of variables and parameters. …”
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Ocupación y distribución potencial de la nutria neotropical (Lontra longicaudis) asociada a variables ambientales en la cuenca del río San Juan, Costa Rica por Santiago Plata, Victor M.

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The distribution of cadmium in soil and cacao beans in Peru por Thomas, Evert, Atkinson, Rachel, Zavaleta, Diego, Rodriguez, Carlos, Lastra Paucar, Sphyros Roomel-Luciano, Yovera, Fredy, Arango, Karina, Pezo, Abel, Aguilar Zapata, Javier Neptali, Tames, Miriam, Ramos, Ana, Cruz, Wilbert, Cosme, Roberto, Espinoza, Eduardo, Chavez, Carmen Rosa, Ladd, Brenton

“…Drawing on >2000 representative samples of cacao beans and soils we developed multiple national and regional random forest models to develop predictive maps of cadmium in soil and cacao beans across the area suitable for cacao cultivation. …”
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Comprehensive spatial mapping of metals and metalloids in the Peruvian Mantaro Valley using advanced geospatial data Integration por Pizarro Carcausto, Samuel Edwin, Pricope , Narcisa G., Vera Vilchez, Jesús Emilio, Cruz Luis, Juancarlos Alejandro, Lastra Paucar, Sphyros Roomel, Solórzano Acosta, Richard Andi, Verástegui Martínez, Patricia

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Utilización del nitrógeno en diferentes manejos de fertilización en lechuga (Lactuca sativa L.) y su efecto sobre algunas variables biológicas del suelo, Neuquén - Argentina por Aruani, María Cristina, Gili, Perla, Fernández, Lidia, González Junyent, Ricardo, Reeb, Pablo Daniel, Sanchez, Enrique Eduardo

“…Treatments were: 1) Control (no N; No), inorganic N (100 kg ha-1 N applied as ammonium nitrate; Fi) and organic N (chicken manure equivalent to a rate of 100 kg N ha-1; E) in a complete randomized block design with fve replications. In the soil nitrate levels at the 0-30; 30-60 and 60-90 cm depths, the indices of carbon mineralization, microbial carbon biomass (C-BM) and the soil respiration coeffcient (qCO2) were determined with each treatment. …”
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Digital soil mapping of metals and metalloids in croplands using multiple geospatial data and machine learning, implemented in GEE, for the Peruvian Mantaro Valley por Pizarro Carcausto, Samuel, Vera Vilchez, Jesús Emilio, Huamani, Joseph, Cruz, Juancarlos, Lastra Paucar, Sphyros Roomel, Solórzano Acosta, Richard Andi, Verástegui Martínez, Patricia

“…Additionally, each element analyzed has a different combination of environmental covariates as predictor, mainly soil, climate, topographic and distance variables especially croplands close to rivers, with less importance for spectral variables. …”
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Predicting climate-driven changes in reservoir inflows and hydropower in Côte d'Ivoire using machine learning modeling por Obahoundje, Salomon, Diedhiou, A., Akpoti, Komlavi, Kouassi, K. L., Ofosu, E. A., Kouame, D. G. M.

“…To simulate inflow to reservoir and energy generation, the Random Forest (RF), a machine-learning algorithm allowing fewer input variables was applied. …”
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Evaluación del prendimiento y desarrollo de clones de caucho (Hevea brasiliensis) propagados por injerto en la selva peruana por Navarro, Jorge M., Alva Arévalo, Alberto, Lozano, Andi, Alva Arévalo, Celso Misael, García Gonzales, Patricia, Gaona Jimenez, Nery, Baselly Villanueva, Juan Rodrigo, Saavedra Ramírez, Jorge, Vallejos Torres, Geomar

“…These were grafted with budding rods from the commercial clones TR-1, FX-3864, RRIM-600, IAN-873 and MDF-180. A completely randomized block design was used with five treatments and three blocks with 15 experimental units; each containing 30 repetitions. …”
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Efecto de la ontogenia del cultivo sobre la composición de la pared celular y su relación con el metabolismo de la lignina y la calidad forrajera en materiales de Megathyrsus Maxim... por Hernandez Alvarez, Urys Mileth

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Unlocking Tropical Forest Complexity: How Tree Assemblages in Secondary Forests Boost Biodiversity Conservation por Souza Oliveira, Maïri, Lenormand, Maxime, Luque, Sandra, Zamora, Nelson A., Alleaume, Samuel, Aguilar Porras, Adriana C., Castillo, Marvin U., Chacón-Madrigal, Eduardo, Delgado, Diego, Hernández Sánchez, Luis Gustavo, Ngo-Bieng, Marie Ange, Quesada-Monge, Ruperto, Solano, Gilberth S., Zúñiga, Pedro M.

“…We then applied object-oriented Random Forest modelling, segmenting the national forest cover using NDVI to identify the forest ecosystems derived from in situ clusters. …”
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Statistical significance of indicators of efficiency and incentives: Examples from West African agriculture por McIntire, John M., Delgado, Christopher L.

“…Illustrates the practical advantages of considering the usual indicators as random variables, using farm data from semiarid West Africa. …”
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Informed selection of future climates por Arndt, Channing, Fant, C., Robinson, Sherman, Strzepek, K.M.

“…In our approach, future climates in the Zambeze River Valley are summarized in 12 variables. Weighted Gaussian quadrature samples containing approximately 400 climates are then obtained using the information from these 12 variables. …”
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Informed selection of future climates por Arndt, Channing, Fant, Charles, Robinson, Sherman, Strzepek, Kenneth M.

“…In our approach, future climates in the Zambeze River Valley are summarized in 12 variables. Weighted Gaussian quadrature samples containing approximately 400 climates are then obtained using the information from these 12 variables. …”
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Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya por Wesonga, F.D., Gachohi, John M., Kitala, P.M., Gathuma, J.M., Njenga, M.J.

“…Multivariable logistic models incorporating random effects at the farm level evaluated the association between the presence of T. parva antibodies and the identified risk variables. …”
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Assessing land suitability for leguminous crops in the okavango river basin: A multicriteria and machine learning approach por Negussie, Kaleb Gizaw, Gebrekidan, Bisrat Haile, Wyss, Daniel, Kappas, M.

“…The Random Forest and XGboost models exhibited outstanding performance, as evidenced by their respective accuracy values of 0.97 and 0.96. …”
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Nutritional quality of Piptocoma discolor and Cratylia argentea as a non-timber forest products for animal feed in the Caquetá province por Casanoves, Fernando, y otros cinco autores más

“…An analysis of variance was performed for each of the variables evaluated using a linear mixed model, considering the species factor as a fixed effect and municipality was considered a random effect. …”
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Assessing the joint effects of landscape, farm features and crop management practices on berry damage in coffee plantations por Vilchez-Mendoza, Sergio, Romero-Gurdián, Ali, Avelino, Jacques, DeClerck, Fabrice, Bommel, Pierre, Betbeder, Julie, Cilas, Christian, Bagny Beilhe, Leila

“…Evaluate their individual and joint contributions, their relative importance and the effects of these variables on the number of infested berries, using the variance partitioning approach of the RandomForest algorithm. …”
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Delineation of agricultural systems in a major tropical area of cacao production (Barlovento, Venezuela) by means of multivariate analysis por Barrios, M, Arias, L, San José, J.J

“…Thirty simple variables were reduced to 11 compound variables or factors. …”
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Access and utilization of agricultural knowledge and information by women dairy farmers: The case of Ada’a District, Oromia Regional State, Ethiopia por Kuru, J.

“…Four stage sampling procedures were used in which both non-random and random sampling procedures were followed to stratify dairy production systems into peri-urban and rural systems, selection of two kebeles from each sub system and120 respondents. …”
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Local communities perceptions of bamboo deforestation in Benishangul Gumuz region, Ethiopia por Bessie, S., Beyene, F., Kotu, Bekele Hundie, Goshu, G., Mengesha, Y.

“…Data was obtained from a random sample of 384 households. Exploratory factor analysis and seemingly unrelated regression models were used to estimate various relationships. …”
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