Descripción
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Based on a sample of geolocated elements, each of them labeled with a (not necessarily ordered) categorical feature, several indexes for assessing the relationship between the geolocation variables (latitude and longitude) and the categorical variable are evaluated. Among these indexes, a new one based on a Voronoi tessellation presents several advantages since it does not require a variable transformation or a previous discretization; in addition, simulations show that this index is considerably robust when compared with the previously known ones. Finally, the use of the presented indexes is also illustrated by analyzing the geolocation of communities in some communication networks derived from Call Detail Records. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Entropy |
ISSN
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1099-4300 |
Factor de impacto JCR
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2,305 |
Información de impacto
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Datos JCR del año 2017 |
Volumen
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21 |
DOI
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10.3390/e21080774 |
Número de revista
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774 |
Desde la página
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1 |
Hasta la página
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14 |
Mes
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SIN MES |
Ranking
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