Distance-based LISA maps for multivariate lattice data
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/2421
Tipus de documentArticle
Data publicació2008-12-01
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In the context of areal data (a particular case of data with spatial dependence)
we propose an algorithm to define spatial clusters.
Our proposal is based on distance between the characteristics observed in different areas (individual).
Thus it is able to be applied to any kind of observable characteristic on condition that
an inter-individual distance can be defined.
This way we provide a generalization of the well-known LISA maps that have been widely used for univariate data.
We apply our proposals to the results of 2004 Spanish General Elections recorded at 248 neighborhoods in Barcelona.
Fitxers | Descripció | Mida | Format | Visualitza |
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spatial_clusters.pdf | 228,2Kb | Visualitza/Obre |