![]() The following step-by-step example shows how to use this syntax in practice. **Verdict: 5.5/10, no manual work needed, but angled text is harder to read and there's lots of extra uneven whitespace.** # Option E: Dodge the labels Second, instead of rotating, as of () we can automatically dodge the labels and make them offset across multiple rows with the `guide_axis(n. The angle controls the angle of the text while vjust and hjust control the vertical and horizontal justification of the text. It would look a lot nicer to have all these labels right-aligned to the axis, but there's no way easy to do that. I'm also not happy with the all the empty vertical space between the axis and the shorter labels like "Schools" and "Utility". title: "Quick and easy ways to deal with long labels in ggplot2" date: description: "Explore different manual and automatic ways to rotate, dodge, recode, break up, and otherwise deal with long axis labels with ggplot2" image: index_files/figure-html/plot-all-1.png categories: - r - tidyverse - ggplot - data visualization - ``` ggplot(essential_by_category, aes( x = CATEGORY, y = total)) geom_col() scale_y_continuous( labels = comma) labs( x = NULL, y = "Total projects") theme( = element_text( angle = 30, hjust = 0.5, vjust = 0.5)) ``` Everything fits great now, but I'm not a big fan of angled text. Allowed values include: 'grid' for both x and y grids 'x.grid' for x axis grids 'y.grid' for y axis grids 'axis' for both x and y axes 'x.axis' for x axis 'y. rremove(object) Arguments object character string specifying the plot components. A raster is defined by: CRS (coordinate reference system) Coordinates of its origin. ![]() Because of their regular structure, the coordinates do not need to be recorded for each pixel or cell in the rectangular extent. ![]() # /Users/andrew/Sites/ath-quarto/renv/sandbox/R-4.2/aarch64-apple-darwin20/84ba8b13 Raster files have a much more compact data structure than vectors. # /Users/andrew/Sites/ath-quarto/renv/library/R-4.2/aarch64-apple-darwin20 # ! package * version date (UTC) lib source # pandoc 2.19.2 /opt/homebrew/bin/ (via rmarkdown) My_fishnet <- FishnetFunction(my_poly = my_extent, extent_only = TRUE, diff_factor = 4) Proj4string(my_extent) <- sp::CRS(as.character(raster::crs(my_srtm))) My_extent <- methods::as(raster::extent(my_srtm), ‘SpatialPolygons’) # Create fishnet polygon from raster extent We’ve defined the colours on a pixel by pixel basis. Theme(plot.title = element_text(hjust = 0.5, face="bold", size=14), # Adjust titleĪ = element_text(angle = 90, hjust = 0.5)) # Vertical y axis labels First we add the map data using geomraster(), which is defined by an x and y coordinated, with colours defined by a fill value. Name = "Elevation\nin m") # Choose name for legend Scale_fill_gradientn(colours = lors(100), # Choose colors for srtm GgR(my_srtm, geom_raster = TRUE, ggLayer = TRUE, alpha = 0.5, # Add srtm with alpha = 0.5 ![]() Ggtitle("SRTM with hillshade") # Add title My_hill <- raster::brick(system.file(package = "MapBooklet", My_srtm <- raster::brick(system.file(package = "MapBooklet", # Install package from githubĭevtools::install_github("MBalthasar/MapBooklet") The second function uses this fishnet polygon in combination with a user ggplot for the creation of a map booklet, including an overview map (see above), as well as a submap for each tile (see below). The package contains currently two functions, one of which creates a fishnet polygon from the extent of the user input data. This R package was designed by EAGLE student Marius Philipp for the automatized generation of map booklet pdfs for user defined ggplots.
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