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2001 | OriginalPaper | Chapter

Measures of Distances for Spatial Data: an Application to the Banking Deposits in the Italian Provinces

Author : Eugenia Nissi

Published in: Advances in Classification and Data Analysis

Publisher: Springer Berlin Heidelberg

Included in: Professional Book Archive

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A theoretical and practical approach is presented for extending both the Mahalanobis and the Euclidean distances to spatially correlated data. Departing from the consideration that in some cases the choice of a particular distance is suggested by the nature of the data, we propose new measures of distance for spatial observations based on the distances between the interpretative models of the data. An application to the banking deposits of the Italian provinces in 1995 is given.

Metadata
Title
Measures of Distances for Spatial Data: an Application to the Banking Deposits in the Italian Provinces
Author
Eugenia Nissi
Copyright Year
2001
Publisher
Springer Berlin Heidelberg
Book
Advances in Classification and Data Analysis

Print ISBN: 978-3-540-41488-9

Electronic ISBN: 978-3-642-59471-7

Copyright Year: 2001

DOI
https://doi.org/10.1007/978-3-642-59471-7_41