Citas bibligráficas
Tello, J., (2019). Modelo espacial de unidades de suelo en el ámbito de la carretera Iquitos-Nauta, Loreto (Perú) [Tesis, Universidad Nacional de la Amazonía Peruana]. http://repositorio.unapiquitos.edu.pe/handle/20.500.12737/6869
Tello, J., Modelo espacial de unidades de suelo en el ámbito de la carretera Iquitos-Nauta, Loreto (Perú) [Tesis]. : Universidad Nacional de la Amazonía Peruana; 2019. http://repositorio.unapiquitos.edu.pe/handle/20.500.12737/6869
@misc{renati/283781,
title = "Modelo espacial de unidades de suelo en el ámbito de la carretera Iquitos-Nauta, Loreto (Perú)",
author = "Tello Nolorve, Jhon Paul",
publisher = "Universidad Nacional de la Amazonía Peruana",
year = "2019"
}
The study carried out presents the results of the prediction processes based on soil parameters of the Iquitos - Nauta highway area of influence in order to develop a spatial distribution model of the percentage of the parameters: sand, silt and clay. The accessibility and speed of being able to predict and thus know the soil parameters with the lowest expenditure of resources, is the most important contribution this research aims at in areas of study such as: land and environment management, planning, among others. In the methodological process, geostatistical interpolators such as ordinary kriging and the weighted inverse distance (IDW) were applied. They use the prediction technique based on the influence of previously sampled data that are closely distributed. The study area has a soil classification prepared by the Research Institute of the Peruvian Amazon which was used as a basis to determine the prediction of the two interpolators. Prior to this, the parameters were selected using statistical procedures such as the normal distribution and histograms to determine which parameters to be interpolated. Sand, clay and silt parameters were determined. The results show that the Pearson correlation coefficients of the parameters: sand, silt and clay were 0.720; 0.286 and 0.553 respectively with kriging as opposed to 0.757; 0.799 and 0.551 respectively with the IDW, being this interpolator with values closer to the unit of the three parameters. That means, it has more relation with the field parameters.
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