NEWS.md
This version is for data access only. All plotting functionality has been moved to the **AirFirePlots package.
wrf_loadTimeSeries() as it takes a ridiculously long time to download enough files to make a timeseries.wrf_loadTimeSeries() now have titles and abbreviated layer names.wrf_load() in local_tate/ that allows the user to provide a reference raster whose grid can be used to rasterize WRF spatial data points.wrf_load() vars parameter to varNames for consistency with plot function parameters.layer_raster() can now fill according to discrete value ranges.wrf_rasterPlot() and wrf_standardPlot() now support discrete value ranges and Brewer palettes to color their rasters.wrf_standardPlot() can now plot a contour layer.wrf_standardPlot() for the spatial and state polygon layers.wrf_standardPlot() layer color defaults:
color -> “red”, fill -> “transparent”.color -> “red”, fill -> “transparent”.arrowColor -> “black”... parameter from both wrf_raster() and wrf_standardPlot() since it was more confusing than helpful (only held additional arguments to ggplot2::scale_fill_gradientn()).layer_contours().layer_spPolys()’s spdf parameter to polygons.arrowWidth as a parameter to layer_vectorField().lineWidth as a parameter to layer_states().lineWidth as a parameter to layer_spPolys().raster and the names of its u and v layers: uName and vName.varName parameter in case the given raster is a multilayer RasterBrick.plot_base(), plot_raster(), and plot_standard() to wrf_basePlot(), wrf_rasterPlot(), and wrf_standardPlot() respectively.wrf_rasterPlot() and wrf_standardPlot() plot titles default to their raster title.wrf_load() now sets the title of the loaded RasterBrick to the format: “[model domain] yyyy-mm-dd hh[am/pm], Hour [forecast hour]”layer_states() and layer_spPolys().plot_standard() now supports drawing both U.S. state polygons and generic _SpatialPolygonDataFrame_s.wrf_load() now has a variable preset for AirFire.fillLow and fillHigh from plot_standard() and plot_raster() to instead support parameters for ggplot2::scale_fill_gradientn().layer_vectorField()
uvRaster parameter.uLayer and vLayer to uRaster and vRaster.plot_base() from users.sample_PNW dataset to example_PNW.plot_base() and plot_raster().layer_~() functions to build up ggplot plots: layer_raster(), layer_spPolys(), layer_states(), layer_points(), layer_vectorField().wrf_download() and wrf_downloaded().wrf_latestModelRun() to list available model runs.