Bibliographic citations
Palacios, M., (2018). Detección de outliers espaciales utilizando el diagrama de dispersión de Moran y el variograma Nube [Tesis, Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/3307
Palacios, M., Detección de outliers espaciales utilizando el diagrama de dispersión de Moran y el variograma Nube [Tesis]. : Universidad Nacional Agraria La Molina; 2018. https://hdl.handle.net/20.500.12996/3307
@misc{renati/247076,
title = "Detección de outliers espaciales utilizando el diagrama de dispersión de Moran y el variograma Nube",
author = "Palacios Mosquera, Maritza Sarela",
publisher = "Universidad Nacional Agraria La Molina",
year = "2018"
}
One of the problems of data analysis is the presence of outliers, this may affect the statistical measures that are desired to estimate a population. The present investigation focuses on the detection of outliers but in a geographical context; For this purpose, the data obtained from the national survey of Peruvian university graduates was used in 2014. As a study variable, the total income of university graduates in the different regions of the country was considered to observe if there are very atypical income with respect to a region. to another, or if within a region there are very high values around it, these abnormal or rare values within a geographical context are considered as spatial outliers that is very different from traditional outliers, to be able to identify such outliers in space. he used two exploratory graphical techniques for the detection of spatial outliers: the variogram cloud and the Morán scatterplot, which have the peculiarity of being very sensitive to the presence of spatial outliers. The two tests were used the data of the total income of the survey, a sample was considered 250 data for its optimal processing, then it was possible to detect the spatial outliers of the research variable that was of total income of S/ 7'400, and where the variograma cloud was more sensitive to the presence of outliers than the Morán scatterplot.
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