Agroecological zoning of Nicaragua through multiple factor analysis and cluster analysis

Vista sencilla de ítem
dc.creatorAguilar, Andrés
dc.creatorDorado, Hugo
dc.creatorSiles, Pablo
dc.creatorGonzález, Gerzon
dc.creatorPeng, Yuan-Ching
dc.creatorRivera Palacio, Juan Camilo
dc.creatorHuang, Si-Dun
dc.creatorKuo, Chin-Chien
dc.date2020-06
dc.date2020-06-19T22:06:38Z
dc.date2020-06-19T22:06:38Z
dc.date.accessioned2026-06-27T13:21:21Z
dc.descriptionThis dataset contains the final product of an agroecological zone classification for Nicaragua. The classification was created using data layers from worldclim, soilgrid and INETER (Instituto Nicaragüense de Estudios Territoriales). The unsupervised method used was k-means and its inputs were variables obtained from a dimensionality reduction achieved through Multiple Factor Analysis. Finally, 17 clusters were pointed out, by a statistical metric and expert knowledge, as the best number of groups to describe the agroecological conditions for the country.
dc.identifierhttps://hdl.handle.net/10568/108515
dc.identifier.urihttp://hdl.handle.net/123456789/56757
dc.languageen
dc.publisherInternational Center for Tropical Agriculture
dc.rightsOpen Access
dc.sourceAguilar, A.; Dorado, H.; Siles, P.; Gonzalez, G.; Peng, Y.C.; Rivera-Palacio, J.C.; Huang, S.D.; Kuo, C.C., 2020 Agroecological zoning of Nicaragua through multiple factor analysis and cluster analysis, https://doi.org/10.7910/DVN/UP0JKM, Harvard Dataverse, V1
dc.subjectweather
dc.subjecttiempo meteorologico
dc.subjectsoil
dc.subjectsuelo
dc.subjectagriculture
dc.subjectagricultura
dc.titleAgroecological zoning of Nicaragua through multiple factor analysis and cluster analysis
dc.typeDataset

Archivos

Colecciones

Alianza Bioversity International y CIAT