Using Geostatistical Tools for Mapping Traffic-Related Air Pollution in Urban Areas

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F14%3A10285578" target="_blank" >RIV/00216208:11310/14:10285578 - isvavai.cz</a>
Result on the web
<a href="http://www.iemss.org/sites/iemss2014/papers/Volume_2_iEMSs2014_pp_603-1213.pdf" target="_blank" >http://www.iemss.org/sites/iemss2014/papers/Volume_2_iEMSs2014_pp_603-1213.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using Geostatistical Tools for Mapping Traffic-Related Air Pollution in Urban Areas
Original language description
A prediction system for estimation, analysis and visualization has been developed to model spatial patterns of traffic-related air pollution. In this study, several geostatistical techniques are used for prediction of NO2 and PM10. The primary data for geostatistical methods originate from sample points that are generated from a network of automatic monitoring stations and, in addition, complemented by other sample points estimated by geographically weighted regression (GWR).
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 7th International Congress on Environmental Modelling and Software
ISBN
9788890357442
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1031-1036
Publisher name
International Environmental Modelling and Software Society
Place of publication
San Diego
Event location
San Diego
Event date
Jun 15, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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