Guides and Tutorials

Here’s one way to do kernel density estimation in R spatial Packages This requires a surprising number of moving parts (at least the way I did it): library(sf) library(tmap) library(spatstat) library(maptools) library(raster) library(dplyr) Data The data are some point data (Airbnb listings from here) and some polygon data (NZ census Statistical Area 2 data).

Writing tutorials, reports, and papers in markdown is a pleasant experience because of the easy incorporation of text, code, and images without the need to rely on word processing software. However, I’ve still been writing most of my journal articles and other research outputs using Microsoft Word.