Quickmap uninstall
This effectively converts all geoms to a combination of points, lines and polygons. Interpreting height and width in a non-Cartesian coordinate system is hard because a rectangle may no longer have constant height and width, so we convert to a purely location-based representation, a polygon defined by the four corners. For example, a bar can be represented as an x position (a location), a height and a width (two dimensions). Firstly, the parameterisation of each geom is changed to be purely location-based, rather than location- and dimension-based. The transformation takes part in two steps. The closest distance between two points may no longer be a straight line.Ĭoord_map()/ coord_quickmap()/ coord_sf(): Map projections.Ĭoord_trans(): Apply arbitrary transformations to x and y positions,Īfter the data has been processed by the stat.Įach coordinate system is described in more detail below.īase + coord_flip ( ) base + coord_trans (y = "log10" ) base + coord_fixed ( ) On the other hand, non-linear coordinate systems can change the shapes: a straight line may no longer be straight. Where the 2d position of an element is given by the combination of theĬoord_flip(): Cartesian coordinate system with x and y axes flipped.Ĭoord_fixed(): Cartesian coordinate system with a fixed aspect ratio. Linear coordinate systems preserve the shape of geoms:Ĭoord_cartesian(): the default Cartesian coordinate system, There are two types of coordinate systems. This is because their appearance depends on theĬoordinate system: an angle axis looks quite different than an x axis. How they map from data to position, it is the coordinate system whichĪctually draws them. While the scales control the values that appear on the axes, and In coordination with the faceter, coordinate systems draw axes and panelīackgrounds. For example, with the polar coordinate system they become angleĪnd radius (or radius and angle), and with maps they become latitude and The position aesthetics are called x and y, but they might be betterĬalled position 1 and 2 because their meaning depends on the coordinate
Combine the two position aesthetics to produce a 2d position on the plot.