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AIRSIS
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AIRSIS Unit Types |
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AQI
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Official Air Quality Index Levels, Names and Colors |
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AQI_en
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Official Air Quality Index Levels, Names and Colors |
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AQI_es
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Official Air Quality Index Levels, Names and Colors |
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CONUS
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CONUS State Codes |
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Camp_Fire
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Camp Fire example dataset |
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Carmel_Valley
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Carmel Valley example dataset |
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Northwest_Megafires
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Northwest_Megafires example dataset |
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US_52
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US State Codes |
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WRCC
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WRCC Monitor Names and Unit IDs |
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addAQILegend()
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Add an AQI Legend to a Map |
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addAQILines()
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Add AQI Lines to a Plot |
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addAQIStackedBar()
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Create Stacked AQI Bar |
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addBullseye()
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Add a Bullseyes to a Map or RgoogleMap Plot |
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addIcon()
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Add Icons to a Map or RgoogleMap Plot |
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addMarker()
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Add Icons to a Map or RgoogleMap Plot |
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addPolygon()
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Add a Colored Polygon to a Plot |
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addShadedBackground()
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Add Shaded Background to a Plot |
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addShadedNight()
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Add Nighttime Shading to a Plot |
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addWindBarbs()
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Add wind barbs to a map |
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airnow_createDataDataframes()
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Return reshaped dataframes of AirNow data |
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airnow_createMetaDataframes()
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Create dataframes of AirNow site location metadata |
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airnow_createMonitorObjects()
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Obain AirNow data and create ws_monitor objects |
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airnow_downloadHourlyData()
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Download hourly data from AirNow |
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airnow_downloadParseData()
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Download and aggregate multiple hourly data files from AirNow |
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airnow_downloadSites()
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Download AirNow Site Location Metadata |
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airnow_load()
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Load Processed AirNow Monitoring Data |
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airnow_loadAnnual()
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Load annual AirNow monitoring data |
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airnow_loadDaily()
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Load recent AirNow monitoring data |
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airnow_loadLatest()
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Load most recent AirNow monitoring data |
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airnow_qualityControl()
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Apply Quality Control to AirNow dataframe |
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airsis_BAM1020QualityControl()
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Apply Quality Control to raw AIRSIS BAM1020 dataframe |
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airsis_EBAMQualityControl()
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Apply Quality Control to raw AIRSIS EBAM tibble |
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airsis_EBAM_MULTI2QualityControl()
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Apply Quality Control to raw AIRSIS EBAM MULTI2 tibble |
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airsis_EBAM_MULTI2_BQualityControl()
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Apply Quality Control to raw AIRSIS EBAM MULTI2_B tibble |
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airsis_EBAM_PLUS_MULTIQualityControl()
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Apply Quality Control to raw AIRSIS EBAM PLUS_MULTI tibble |
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airsis_ESAMQualityControl()
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Apply Quality Control to raw AIRSIS E-Sampler dataframe |
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airsis_ESAM_MULTIQualityControl()
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Apply Quality Control to raw AIRSIS E-Sampler dataframe |
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airsis_availableUnits()
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Get AIRSIS available unit identifiers |
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airsis_createDataDataframe()
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Create AIRSIS data dataframe |
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airsis_createMetaDataframe()
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Create AIRSIS site location metadata dataframe |
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airsis_createMonitorObject()
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Obain AIRSIS data and create ws_monitor object |
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airsis_createRawDataframe()
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Obain AIRSIS data and parse into a raw tibble |
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airsis_downloadData()
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Download AIRSIS data |
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airsis_identifyMonitorType()
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Identify AIRSIS monitor type |
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airsis_load()
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Load Processed AIRSIS Monitoring Data |
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airsis_loadAnnual()
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Load annual AIRSIS monitoring data |
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airsis_loadDaily()
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Load recent AIRSIS monitoring data |
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airsis_loadLatest()
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Load most recent AIRSIS monitoring data |
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airsis_parseData()
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Parse AIRSIS data string |
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airsis_qualityControl()
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Apply Quality Control to raw AIRSIS dataframe |
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aqiColors()
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Generate AQI Colors |
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aqiPalette()
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Color Palettes for Air Quality Monitoring Data |
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distance()
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Calculate distances between points |
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epa_createDataDataframe()
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Create EPA data dataframe |
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epa_createMetaDataframe()
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Create dataframe of EPA site location metadata |
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epa_createMonitorObject()
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Download and convert hourly EPA air quality data |
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epa_downloadData()
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Download EPA air quality data |
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epa_load()
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Load Processed EPA Monitoring Data |
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epa_loadAnnual()
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Load annual EPA monitoring data |
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epa_parseData()
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Parse EPA data |
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esriToken
|
Token used for ESRI Geocoding Requests |
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generic_downloadData()
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Download generic data |
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generic_parseData()
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Parse generic air quality files |
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getEsriToken()
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Get ESRI Token |
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getGoogleApiKey()
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Get Google API Key |
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googleApiKey
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API Key used for Google Geocoding Requests |
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initializeMazamaSpatialUtils()
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Initialize Mazama Spatial Utils |
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loadDaily()
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Load Recent PM2.5 Monitoring Data |
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loadLatest()
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Load Recent PM2.5 Monitoring Data |
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monitor_aqi()
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Calculate hourly NowCast-based AQI values |
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monitor_asDataframe()
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Return Monitor Data in a Single Dataframe |
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monitor_collapse()
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Collapse a ws_monitor Object into a ws_monitor Object with a Single
Monitor |
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monitor_combine()
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Combine List of ws_monitor Objects into Single ws_monitor Object |
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monitor_dailyBarplot()
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Create Daily Barplot |
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monitor_dailyStatistic()
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Calculate daily statistics |
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monitor_dailyStatisticList()
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Calculate Daily Statistics |
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monitor_dailyThreshold()
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Calculate Daily Counts of Values At or Above a Threshold |
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monitor_distance()
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Calculate distances from monitors to a location of interest |
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monitor_downloadAnnual()
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Download annual PM2.5 monitoring data |
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monitor_downloadDaily()
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Download recent PM2.5 monitoring data |
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monitor_downloadLatest()
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Download recent PM2.5 monitoring data |
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monitor_dygraph()
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Create Interactive Time Series Plot |
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monitor_extractData() monitor_extractMeta()
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Extract dataframes from ws_monitor objects |
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monitor_getCurrentStatus()
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Get current status of monitors |
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monitor_getDailyMean()
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Calculate daily means for a ws_monitor object |
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monitor_hourlyBarplot()
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Create Hourly Barplot |
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monitor_isEmpty()
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Test for an Empty ws_monitor Object |
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monitor_isMonitor()
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Test for an correct structure of ws_monitor Object |
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monitor_isTidy()
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Check if data is tidy-formatted ws_monitor data |
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monitor_isolate()
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Isolate Individual Monitors |
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monitor_join()
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Merge Data for Monitors with Shared monitorIDs |
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monitor_leaflet()
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Leaflet interactive map of monitoring stations |
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monitor_load()
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Load PM2.5 monitoring data |
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monitor_loadAnnual()
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Load annual PM2.5 monitoring data |
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monitor_loadDaily()
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Load recent PM2.5 monitoring data |
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monitor_loadLatest()
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Load most recent PM2.5 monitoring data |
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monitor_map()
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Static map of monitoring stations |
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monitor_nowcast()
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Apply Nowcast Algorithm to ws_monitor Object |
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monitor_performance()
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Calculate Monitor Prediction Performance |
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monitor_performanceMap()
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Create map of monitor prediction performance |
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monitor_print()
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Print monitor data as CSV |
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monitor_reorder()
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Reorder a ws_monitor bject |
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monitor_replaceData()
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Replace ws_monitor Data with Another Value |
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monitor_rollingMean()
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Calculate Rolling Means |
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monitor_rollingMeanPlot()
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Create Rolling Mean Plot |
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monitor_scaleData()
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Scale ws_monitor Data |
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monitor_stamenmap()
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Create a static map of ws_monitor object |
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monitor_staticmap()
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Create a static map of ws_monitor object |
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monitor_subset()
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Subset ws_monitor Object |
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monitor_subsetBy()
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Subset ws_monitor Object with a Filter |
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monitor_subsetByDistance()
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Subset ws_monitor Object by Distance from Target Location |
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monitor_subsetData()
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Subset ws_monitor Object 'data' Dataframe |
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monitor_subsetMeta()
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Subset ws_monitor Object 'meta' Dataframe |
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monitor_timeAverage()
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Calculate Time Averages |
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monitor_timeInfo()
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Get time related information for a monitor |
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monitor_timeseriesPlot()
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Create Timeseries Plot |
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monitor_toTidy()
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Convert `ws_monitor` data to a tidy format |
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monitor_trim()
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Trim ws_monitor Time Axis to Remove NA Periods From Beginning and End |
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monitor_writeCSV()
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Write monitor data as CSV |
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monitor_writeCurrentStatusGeoJSON()
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Write current monitor data to geojson file |
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rawPlot_pollutionRose()
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Create Pollution Rose Plot from a Raw Dataframe |
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rawPlot_timeOfDaySpaghetti()
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Create Time of Day Spaghetti Plot from a Raw Dataframe |
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rawPlot_timeseries()
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Create Timeseries Plot from a Raw Dataframe |
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rawPlot_windRose()
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Create Wind Rose Plot from a Raw Dataframe |
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raw_enhance()
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Process Raw Monitoring Data to Create raw_enhance Object |
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raw_getHighlightDates()
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Return Day Stamps for Values Above a Threshold |
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setEsriToken()
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Set ESRI Token |
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setGoogleApiKey()
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Set Google API Key |
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skill_ROC()
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ROC Curve |
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skill_ROCPlot()
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ROC Plot |
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skill_confusionMatrix()
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Confusion Matrix Statistics |
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staticmap_getEsrimapBrick()
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Create a rasterBrick from an Esri tiled image server |
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staticmap_getRasterBrick()
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Create a rasterBrick from a tiled image server |
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staticmap_getStamenmapBrick()
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Create a rasterBrick from stamenmap tiles |
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staticmap_plotRasterBrick()
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Plot an RGB rasterBrick |
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tidy_toMonitor()
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Convert `ws_tidy` data to a `ws_monitor` object |
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timeInfo()
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Get time related information |
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upgradeMeta_v1.0()
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Upgrade ws_monitor Metadata to Version 1.0 |
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wrcc_EBAMQualityControl()
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Apply Quality Control to raw WRCC EBAM tibble |
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wrcc_ESAMQualityControl()
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Apply Quality Control to raw WRCC E-Sampler tibble |
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wrcc_createDataDataframe()
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Create WRCC data dataframe |
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wrcc_createMetaDataframe()
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Create WRCC site location metadata dataframe |
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wrcc_createMonitorObject()
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Obtain WRCC data and create ws_monitor object |
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wrcc_createRawDataframe()
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Obtain WRCC data and parse into a tibble |
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wrcc_downloadData()
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Download WRCC data |
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wrcc_identifyMonitorType()
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Identify WRCC monitor type |
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wrcc_load()
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Load Processed WRCC Monitoring Data |
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wrcc_loadAnnual()
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Load annual WRCC monitoring data |
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wrcc_loadDaily()
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Load recent WRCC monitoring data |
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wrcc_loadLatest()
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Load most recent WRCC monitoring data |
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wrcc_parseData()
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Parse WRCC data string |
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wrcc_qualityControl()
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Apply Quality Control to raw WRCC tibble |