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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).
  • 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). (en)
Title
  • Using Geostatistical Tools for Mapping Traffic-Related Air Pollution in Urban Areas
  • Using Geostatistical Tools for Mapping Traffic-Related Air Pollution in Urban Areas (en)
skos:prefLabel
  • Using Geostatistical Tools for Mapping Traffic-Related Air Pollution in Urban Areas
  • Using Geostatistical Tools for Mapping Traffic-Related Air Pollution in Urban Areas (en)
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  • RIV/00216208:11310/14:10285578!RIV15-MSM-11310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 52428
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11310/14:10285578
http://linked.open...riv/jazykVysledku
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  • ordinary kriging; GWR; geostatistics; urban traffic; air pollution (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [52B48B66298A]
http://linked.open...v/mistoKonaniAkce
  • San Diego
http://linked.open...i/riv/mistoVydani
  • San Diego
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 7th International Congress on Environmental Modelling and Software
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
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  • Matějíček, Luboš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • International Environmental Modelling and Software Society
https://schema.org/isbn
  • 9788890357442
http://localhost/t...ganizacniJednotka
  • 11310
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