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dc.contributoren-US
dc.creatorOjeda, Nelson
dc.creatorRebolledo, Ramón
dc.creatorCalzadilla, Soraya
dc.creatorSoto, Héctor
dc.creatorMorales, Luis
dc.creatorMorales, Luis
dc.date2011-09-01
dc.date.accessioned2021-01-18T16:30:20Z
dc.date.available2021-01-18T16:30:20Z
dc.identifierhttps://www.rcia.uc.cl/index.php/ijanr/article/view/101
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/161962
dc.descriptionSemidalis kolbei occupies a significant area of south central Chile. However, it is necessary to determine and predict the occurrence of the insect at a given site. The aim of this research is to analyze the potential spatial distribution of S. kolbei in La Araucanía Region of Chile. The study compares ordinary kriging (OK) interpolation methods, geographically weighted regression (GWR) and global regression (GR). The following variables were used in the investigation: topography (altitude, aspect, and slope), distance from the littoral, climate, and geographical variables (latitude and longitude). Of the models evaluated, the GWR proved to be the most successful. This model revealed a marked east-west gradient in the distribution of S. kolbei and a relationship with altitudeen-US
dc.format
dc.languageeng
dc.publisherPontificia Universidad Católica de Chileen-US
dc.relationhttps://www.rcia.uc.cl/index.php/ijanr/article/view/101/58
dc.sourceInternational Journal of Agriculture and Natural Resources; Vol 38, No 3 (2011); 379-390en-US
dc.sourceInternational Journal of Agriculture and Natural Resources; Vol 38, No 3 (2011); 379-390es-ES
dc.source2452-5731
dc.source2452-5731
dc.subjecten-US
dc.subjectAraucanía Region, Chile, modeling, potential spatial distribution, Semidalis kolbeien-US
dc.titleA proposed methodology for the predictive and cartographic modeling of an insect population: Semidalis kolbei in La Araucanía Region, Chileen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeen-US
dc.typees-ES


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