APLICACIÓN DE LAS SERIES DE TIEMPO PARA LA PREDICCIÓN DE TEMPERATURAS
Abstract
This research relates the effect of human activity on temperatures and so a survey was carried out on three areas of Buenos Aires, Argentina, which have suffered from human activity disparate results. For the selection of the areas were taken into account, they should have proper weather stations and they should be testable values. They should possess thermal data for the last fifty years. From these data and census data, is correlated seeking to define possible scenarios so that the use of time series for the predictions are as accurate as possible. Finally they will be correlated with international modelsto determine which model gives results closer to those obtained in this investigation.
Index Terms - population growth, temperaturas predicition, time serie
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ISSN 2317-3173
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Indexing
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Scientific Societies and Directories
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