A simple spatio-temporal procedure for the prediction of air pollution levels
In this paper we study the spatio‐temporal behaviour of air pollutants measured daily over the city of Lisbon, Portugal. Our specific aim is to predict air pollutant levels in time and space over a fine grid of locations based on observations from a small number of monitoring sites. Our suggested pr...
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Published in | Journal of chemometrics Vol. 16; no. 12; pp. 623 - 632 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
01.12.2002
Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | In this paper we study the spatio‐temporal behaviour of air pollutants measured daily over the city of Lisbon, Portugal. Our specific aim is to predict air pollutant levels in time and space over a fine grid of locations based on observations from a small number of monitoring sites. Our suggested prediction procedure is based on the simple and intuitive idea of first making predictions in time at the monitoring sites and then extending these predictions in space to locations other than the monitoring sites using kriging methods. Copyright © 2002 John Wiley & Sons, Ltd. |
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Bibliography: | ArticleID:CEM766 istex:946B431AE5E4B8B8F2E0C6AEBAE64908C71EF92A ark:/67375/WNG-M4K6381K-S Portuguese Science Foundation (FCT) - No. PRAXIS/P/1001/98 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0886-9383 1099-128X |
DOI: | 10.1002/cem.766 |