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58 importKCLValue• ZT4 | Tunbridge Wells Roadside - St Johns | Roadside• ZT5 | Tonbridge Roadside 2 - High St | Roadside• ZV1 | Sevenoaks - Greatness Park | Urban Background• ZV2 | Sevenoaks - Bat and Ball | Roadside• ZW1 | Swale Roadside - Ospringe A2 | Roadside• ZW2 | Swale Background - Sheerness | Urban Background• ZW3 | Swale Roadside 2 - Ospringe Street | Roadside• ZY1 | Canterbury Backgrnd - Chaucer TS | Urban Background• ZY2 | Canterbury Roadside - St Dunstans | Roadside• ZY4 | Canterbury St Peters Place | RoadsideReturns a data frame of hourly mean values with date in POSIXct class and time zone GMT.Author(s)See AlsoDavid Carslaw and Ben BarrattimportAURN, importADMS, importSAQNExamples## import all pollutants from Marylebone Rd from 1990:2009## Not run: mary
importMeta 59importMetaImport monitoring site meta dataDescriptionFunction to import meta data from UK air pollution monitoring sitesUsageimportMeta(source = "aurn", all = FALSE)ArgumentssourceallThe data source for the meta data. Can be "aurn", "kcl" or "saqn"; upper orlower case.When all = FALSE only the site code, site name, latitude and longitude andsite type are imported. Setting all = TRUE will import all available meta data.DetailsThis function imports site meta data from three networks in the UK: the Defra Automatic Urban andRural Network (AURN), King’s College London networks and the Scottish Air Quality Network.The meta data includes site location (latitude, longitude and OS easting and northing — the latterfor KCL networks), site type and it’s start/close data, as well as other information.The meta information can usefully be combined with matching air pollution data and produce mapsof concentration — see examples below. Note if many sites and/or years of hourly data are importedit may be better to aggregate first and then combine with the meta data information.Thanks go to Dr Ben Barratt (KCL) and Trevor Davies (AEA) for making these data available.ValueA data frame with meta data.Author(s)David CarslawSee AlsoimportAURN, importKCL and importSAQN for importing air quality data from each network, andGoogleMapsPlot for plotting concentrations on a map.
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Package ‘openair’September 19,
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4 aqStatsused. All functions check
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6 calcFno2Examples## Statistics for
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Page 16 and 17: 16 conditionalQuantileArgumentsmyda
Page 18 and 19: 18 corPlot## make some dummy predic
Page 20 and 21: 20 cutDataSee Alsotaylor.diagram fr
Page 22 and 23: 22 drawOpenKeyof this option is to
Page 24 and 25: 24 drawOpenKeyvpView port to be use
Page 26 and 27: 26 GoogleMapsPlotcex.range = c(2, 1
Page 28 and 29: 28 GoogleMapsPlotDetailsValueNoteke
Page 30 and 31: 30 importtimetime.formattz.intz.out
Page 32 and 33: 32 importADMSdrop.input.datesOption
Page 34 and 35: 34 importAURNimportAURNAURN data im
Page 36 and 37: 36 importAURN• BIR2 Birmingham Ea
Page 38 and 39: 38 importAURN• ISL London Islingt
Page 40 and 41: 40 importAURNValue• WBRO Sandwell
Page 42 and 43: 42 importAURNCsvis.siteHeader name
Page 44 and 45: 44 importKCL## diurnal.error(so2.15
Page 46 and 47: 46 importKCLAll PM10 statistics on
Page 48 and 49: 48 importKCL• BY1 | Bromley - Ren
Page 50 and 51: 50 importKCL• GL1 | Glasgow Centr
Page 52 and 53: 52 importKCL• LB4 | Lambeth - Bri
Page 54 and 55: 54 importKCL• RG4 | Reigate and B
Page 56 and 57: 56 importKCL• TE0 | Tendring St O
Page 60 and 61: 60 importSAQNExamples## import AQ d
Page 62 and 63: 62 importSAQN• | ABD8 | Aberdeen
Page 64 and 65: 64 importSAQN• | PAI3 | Paisley G
Page 66 and 67: 66 importTrajlocalfor example.Used
Page 68 and 69: 68 kernelExceedpollutant Mandatory.
Page 70 and 71: 70 linearRelationlinearRelationLine
Page 72 and 73: 72 modStatsSee AlsocalcFno2Examples
Page 74 and 75: 74 mydataReferencesWillmott, C.J.,
Page 76 and 77: 76 openair.class## S3 method for cl
Page 78 and 79: 78 openColoursnNote that because of
Page 80 and 81: 80 percentileRoseintervals User-sup
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Page 84 and 85: 84 polarAnnuluskey.footerkey.positi
Page 86 and 87: 86 polarClustercolsDetailsangle.sca
Page 88 and 89: 88 polarFreq## how many points are
Page 90 and 91: 90 polarFreqborder.colThe colour of
Page 92 and 93: 92 polarPlotDescriptionFunction for
Page 94 and 95: 94 polarPlotupperangle.scaleunitsso
Page 96 and 97: 96 polarPlotValueAs well as generat
Page 98 and 99: 98 rollingMeanExamples#example 1##s
Page 100 and 101: 100 scatterPlotavg.timedata.threshs
Page 102 and 103: 102 scatterPlot... Other graphical
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Page 106 and 107: 106 selectRunningselectRunningFunct
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108 smoothTrendavg.timepercentileda
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110 splitByDate# several pollutants
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112 summaryPlotpollutantperiodbreak
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114 TaylorDiagramUsageTaylorDiagram
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116 TaylorDiagramdaylight/nighttime
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118 TheilSen## Not run:## all model
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120 TheilSenDetailsdate.breaks- 1)
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122 timeAverageTheilSen(mydata, pol
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124 timePlotAuthor(s)David CarslawS
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126 timePlottypecolsplot.typekeylog
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128 timePlotAuthor(s)David CarslawS
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130 timeVariationtypegroupdifferenc
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132 timeVariationAuthor(s)David Car
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134 trajClustertypecolssplit.aftert
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136 trajLevelsmoothstatisticpercent
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138 trendLevelkc1 -20 & lon 40 & l
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140 trendLeveldrop.unused.typesHide
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142 windRosews.intThe Wind speed in
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144 windRoseValueNoteset of wind sp
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Index∗Topic datasetsmydata, 74∗
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