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84 polarAnnuluskey.footerkey.positionkeyauto.textsee key.header.Location where the scale key is to plotted. Allowed arguments currently include“top”, “right”, “bottom” and “left”.Fine control of the scale key via drawOpenKey. See drawOpenKey for furtherdetails.Either TRUE (default) or FALSE. If TRUE titles and axis labels will automaticallytry and format pollutant names and units properly e.g. by subscripting the ‘2’ inNO2.... Other graphical parameters passed onto lattice:levelplot and cutData. Forexample, polarAnnulus passes the option hemisphere = "southern" on tocutData to provide southern (rather than default northern) hemisphere handlingof type = "season". Similarly, common axis and title labelling options (suchas xlab, ylab, main) are passed to levelplot via quickText to handle routineformatting.DetailsThe polarAnnulus function shares many of the properties of the polarPlot. However, polarAnnulusis focussed on displaying information on how concentrations of a pollutant (values of another variable)vary with wind direction and time. Plotting as an annulus helps to reduce compression ofinformation towards the centre of the plot. The circular plot is easy to interpret because wind directionis most easily understood in polar rather than Cartesian coordinates.The inner part of the annulus represents the earliest time and the outer part of the annulus the latesttime. The time dimension can be shown in many ways including "trend", "hour" (hour or day),"season" (month of the year) and "weekday" (day of the week). Taking hour as an example, the plotwill show how concentrations vary by hour of the day and wind direction. Such plots can be veryuseful for understanding how different source influences affect a location.For type = "trend" the amount of smoothing does not vary linearly with the length of the timeseries i.e. a certain amount of smoothing per unit interval in time. This is a deliberate choicebecause should one be interested in a subset (in time) of data, more detail will be provided for thesubset compared with the full data set. This allows users to investigate specific periods in moredetail. Full flexibility is given through the smoothing parameter k.ValueAs well as generating the plot itself, polarAnnulus also returns an object of class “openair”. Theobject includes three main components: call, the command used to generate the plot; data, thedata frame of summarised information used to make the plot; and plot, the plot itself. If retained,e.g. using output
polarCluster 85See AlsopolarPlot, polarFreq, pollutionRose and percentileRoseExamples# load example data from packagedata(mydata)# diurnal plot for PM10 at Marylebone RdpolarAnnulus(mydata, pollutant = "pm10", main = "diurnal variation in pm10 at Marylebone Road")# seasonal plot for PM10 at Marylebone Rd## Not run: polarAnnulus(mydata, poll="pm10", period = "season")# trend in coarse particles (PMc = PM10 - PM2.5), calculate PMc firstmydata$pmc
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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
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 58 and 59: 58 importKCLValue• ZT4 | Tunbridg
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
Page 82 and 83: 82 polarAnnulusnormalise = FALSE, k
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
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
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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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