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Recent trends in modeling spatio-temporal data

Recent trends in modeling spatio-temporal data
Recent trends in modeling spatio-temporal data
This articles provides a review of recent advances in modeling spatio-temporal data. In an attempt to unify the modeling strategies we describe the primary spatio-temporal data types. We then discuss general models for point reference data only. Spatial-temporal modeling has largely been developed through applications in environmental, geostatistics, hydrology and meteorology. We review current methods for many such application areas.
69-83
Sahu, S. K.
33f1386d-6d73-4b60-a796-d626721f72bf
Mardia, K. V.
a2f87253-1888-42bb-957d-b3c21b0bcec3
Sahu, S. K.
33f1386d-6d73-4b60-a796-d626721f72bf
Mardia, K. V.
a2f87253-1888-42bb-957d-b3c21b0bcec3

Sahu, S. K. and Mardia, K. V. (2005) Recent trends in modeling spatio-temporal data. Meeting of the Italian Statistical Society on Statistics and the Environment, Messina, Italy. 20 - 22 Sep 2005. pp. 69-83 .

Record type: Conference or Workshop Item (Paper)

Abstract

This articles provides a review of recent advances in modeling spatio-temporal data. In an attempt to unify the modeling strategies we describe the primary spatio-temporal data types. We then discuss general models for point reference data only. Spatial-temporal modeling has largely been developed through applications in environmental, geostatistics, hydrology and meteorology. We review current methods for many such application areas.

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More information

Published date: 2005
Venue - Dates: Meeting of the Italian Statistical Society on Statistics and the Environment, Messina, Italy, 2005-09-20 - 2005-09-22
Organisations: Statistics

Identifiers

Local EPrints ID: 30048
URI: http://eprints.soton.ac.uk/id/eprint/30048
PURE UUID: bee67af7-b2ca-44fd-ab09-853fb4c25ad1
ORCID for S. K. Sahu: ORCID iD orcid.org/0000-0003-2315-3598

Catalogue record

Date deposited: 31 May 2006
Last modified: 12 Dec 2021 03:11

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Contributors

Author: S. K. Sahu ORCID iD
Author: K. V. Mardia

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