Package 'openair'

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144 windRoseValueNoteset of wind speed and wind directions are to be compared (ws2 and wd2). The second set of valuesis subtracted from the first and the differences compared. If for example, wd2 was biased positivecompared with wd then pollutionRose will show the bias in polar coordinates. In its default use,wind direction bias is colour-coded to show negative bias in one colour and positive bias in another.As well as generating the plot itself, windRose and pollutionRose also return an object of class“openair”. The object includes three main components: call, the command used to generate theplot; data, the data frame of summarised information used to make the plot; and plot, the plotitself. If retained, e.g. using output
windRose 145# pollutionRose of noxpollutionRose(mydata, pollutant = "nox")## source apportionment plot - contribution to mean## Not run:pollutionRose(mydata, pollutant = "pm10", type = "year", statistic = "prop.mean")## End(Not run)## example of comparing 2 met sites## first we will make some new ws/wd data with a postive biasmydata$ws2 = mydata$ws + 2 * rnorm(nrow(mydata)) + 1mydata$wd2 = mydata$wd + 30 * rnorm(nrow(mydata)) + 30## need to correct negative wdid
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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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8 calcPercentilecalcPercentileCalcu
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10 calendarPlotannotatestatisticcol
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14 conditionalEvalon to cutData to
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16 conditionalQuantileArgumentsmyda
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18 corPlot## make some dummy predic
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20 cutDataSee Alsotaylor.diagram fr
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22 drawOpenKeyof this option is to
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24 drawOpenKeyvpView port to be use
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26 GoogleMapsPlotcex.range = c(2, 1
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28 GoogleMapsPlotDetailsValueNoteke
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30 importtimetime.formattz.intz.out
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32 importADMSdrop.input.datesOption
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34 importAURNimportAURNAURN data im
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36 importAURN• BIR2 Birmingham Ea
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38 importAURN• ISL London Islingt
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40 importAURNValue• WBRO Sandwell
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42 importAURNCsvis.siteHeader name
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44 importKCL## diurnal.error(so2.15
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46 importKCLAll PM10 statistics on
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48 importKCL• BY1 | Bromley - Ren
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50 importKCL• GL1 | Glasgow Centr
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52 importKCL• LB4 | Lambeth - Bri
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54 importKCL• RG4 | Reigate and B
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56 importKCL• TE0 | Tendring St O
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58 importKCLValue• ZT4 | Tunbridg
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60 importSAQNExamples## import AQ d
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62 importSAQN• | ABD8 | Aberdeen
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64 importSAQN• | PAI3 | Paisley G
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66 importTrajlocalfor example.Used
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68 kernelExceedpollutant Mandatory.
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70 linearRelationlinearRelationLine
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72 modStatsSee AlsocalcFno2Examples
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74 mydataReferencesWillmott, C.J.,
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76 openair.class## S3 method for cl
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78 openColoursnNote that because of
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80 percentileRoseintervals User-sup
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82 polarAnnulusnormalise = FALSE, k
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84 polarAnnuluskey.footerkey.positi
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86 polarClustercolsDetailsangle.sca
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88 polarFreq## how many points are
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90 polarFreqborder.colThe colour of
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92 polarPlotDescriptionFunction for
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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
Page 104 and 105: 104 selectByDate## multiple types a
Page 106 and 107: 106 selectRunningselectRunningFunct
Page 108 and 109: 108 smoothTrendavg.timepercentileda
Page 110 and 111: 110 splitByDate# several pollutants
Page 112 and 113: 112 summaryPlotpollutantperiodbreak
Page 114 and 115: 114 TaylorDiagramUsageTaylorDiagram
Page 116 and 117: 116 TaylorDiagramdaylight/nighttime
Page 118 and 119: 118 TheilSen## Not run:## all model
Page 120 and 121: 120 TheilSenDetailsdate.breaks- 1)
Page 122 and 123: 122 timeAverageTheilSen(mydata, pol
Page 124 and 125: 124 timePlotAuthor(s)David CarslawS
Page 126 and 127: 126 timePlottypecolsplot.typekeylog
Page 128 and 129: 128 timePlotAuthor(s)David CarslawS
Page 130 and 131: 130 timeVariationtypegroupdifferenc
Page 132 and 133: 132 timeVariationAuthor(s)David Car
Page 134 and 135: 134 trajClustertypecolssplit.aftert
Page 136 and 137: 136 trajLevelsmoothstatisticpercent
Page 138 and 139: 138 trendLevelkc1 -20 & lon 40 & l
Page 140 and 141: 140 trendLeveldrop.unused.typesHide
Page 142 and 143: 142 windRosews.intThe Wind speed in
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