Estimating Urban Ultrafine Particle Distributions with Gaussian Process Models

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dc.contributor.authorLi, Jason
dc.contributor.authorJutzeler, A.
dc.contributor.authorFaltings, Boi
dc.coverage.spatialCanberra, Australia
dc.date.accessioned2015-12-10T23:24:39Z
dc.date.created7-9 April, 2014
dc.date.issued2014
dc.date.updated2015-12-10T10:49:06Z
dc.description.abstractUrban air pollution have a direct impact on public health. Ultrafine particles (UFPs) are ubiquitous in urban environments, but their distribution are highly variable. In this paper, we take data from mobile deployments in Zürich collected over one year
dc.identifier.isbn1613-0073
dc.identifier.urihttp://hdl.handle.net/1885/67287
dc.publisherUniversity of Melbourne
dc.relation.ispartofseriesResearch@Locate'14
dc.sourceEstimating Urban Ultrane Particle Distributions with Gaussian Process Models
dc.titleEstimating Urban Ultrafine Particle Distributions with Gaussian Process Models
dc.typeConference paper
local.bibliographicCitation.lastpage153
local.bibliographicCitation.startpage145
local.contributor.affiliationLi, Jason, College of Engineering and Computer Science, ANU
local.contributor.affiliationJutzeler, A., École Polytechnique Fédérale de Lausanne
local.contributor.affiliationFaltings, Boi, Ecole Polytechnique Federale de Lausanne
local.contributor.authoremailu4381505@anu.edu.au
local.contributor.authoruidLi, Jason, u4381505
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080100 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
local.identifier.absfor050206 - Environmental Monitoring
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.absseo920405 - Environmental Health
local.identifier.ariespublicationu4334215xPUB1430
local.identifier.scopusID2-s2.0-84926381241
local.identifier.uidSubmittedByu4334215
local.type.statusPublished Version

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