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
2005
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.
.
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(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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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
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Local EPrints ID: 30048
URI: http://eprints.soton.ac.uk/id/eprint/30048
PURE UUID: bee67af7-b2ca-44fd-ab09-853fb4c25ad1
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Date deposited: 31 May 2006
Last modified: 12 Dec 2021 03:11
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Author:
K. V. Mardia
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