In one of the last posts, we came up with an updated data set representing the world. One way to plot this data set is with a 2D plot, as shown in Fig. 2. But if you compare the output with the one you see for example at Google Maps you will noticed a difference. That is due to the fact that Google uses the Mercator projection of the data. This projection preserves the angles around any point on the map, what is useful if you have a close look at some streets. The disadvantage of the Mercator projection is the inaccuracy of the sizes of the countries near to the poles. For example the size of Greenland is completely overemphasized as you can see in Fig. 1. By just plotting the data as we have done for Fig. 2, we have the Equirectangular projection with constant spacing between the latitudes and meridians. The blue background color in the first two figures can be achieved directly with a terminal setting. In Fig. 3 the Mercator projection function is shown as an input-output-function of the latitude values. The placing of the latitude values on the y-axis can be easily done with a loop. https://github.com/tuxcell/gnuplotcartography run gnuplot demo1.gnu gnuplot demo2.gnu gnuplot demo3.gnu And an R-package (Programming interface): CRAN – Package Rgnuplot https://cran.r-project.org/web/packages/Rgnuplot/index.html The R package can create maps for gnuplot from image files (jpeg, PNG, etc) or shapefiles and plot them in over a dozen cartographic projections XHTML: You can use these tags: <,a href= title=>, <,abbr title=>, <,acronym title=>, <,b>, <,blockquote cite=>, <,cite>, <,code>, <,del datetime=>, <,em>, <,i>, <,q cite=>, <,s>, <,strike>, <,strong>, Source.