**Topics::** [[Maps]] [[Data Visualization]] [[Philippines]] [[Demographic Trends]] ## Minimalistic maps Taking the idea from the [Population Lines Print](http://spatial.ly/2014/08/population-lines/) by Spatial.ly / Dr James Cheshire, we plot local population density maps for the Philippines in the same style. The data is taken from the [NASA Socioeconomic Data and Applications Center (SEDAC)](http://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-density-adjusted-to-2015-unwpp-country-totals/data-download). ## Philippine population density maps Fortunately, the process was relatively straightforward and it was not difficult to produce the same cool faux-3D population peak effect with a bit of data wrangling and good old `ggplot2`. Here are some I've produced for key Philippine metropolitan areas and my home region Bicol. ![Philippines](https://raw.githubusercontent.com/tjpalanca/population-lines/master/out/01-philippines.png) ![Greater Manila Area](https://raw.githubusercontent.com/tjpalanca/population-lines/master/out/02-greater-manila-area.png) ![Cebu](https://raw.githubusercontent.com/tjpalanca/population-lines/master/out/03-cebu.png) ![Davao](https://raw.githubusercontent.com/tjpalanca/population-lines/master/out/04-davao.png) ![Bicol Region](https://raw.githubusercontent.com/tjpalanca/population-lines/master/out/05-bicol.png) ## Reproducibility Here are the notebooks containing the code, results, and commentary behind the post. You may download the resulting code and run it yourself, provided: - You have to download the population density maps on your own access rights, and - You agree that this is provided as-is and with no warranty. You may also view the GitHub Repository [here](https://github.com/tjpalanca/population-lines) for the complete code and analysis that went into this post.