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You may be familiar with principles for good data visualization when it comes to ordinary bar plots, scatterplots, and line plots. However, geospatial data visualization has its own set of principles for effective and honest communication. The answer to what is the “best” style of geospatial data visualization often depends on the type of data

At the 14 July R User Meetup, hosted at Atlan, I had the pleasure of briefly introducing the relatively new tidytext package, written by Julia Silge (@juliasilge) and David Robinson (@drob). Essentially this package serves to bring text data into the “tidyverse”. It provides simple tools to manipulate unstructured text data in such a way that it can be analyzed…

Landsat is without a doubt one of the best sources of free satellite data today. Managed by NASA and the United States Geological Survey, the Landsat satellites have been capturing multi-spectral imagery for over 40 years. The latest satellite, Landsat 8, orbits the Earth every 16 days and captures more than 700 satellite images per day across 9 spectral bands…

One of the first things we are taught in Programming 101 is to write a well-structured and commented code. And as any newbie would, we ignore this lesson and focus on achieving the end result. Recently, I coded a R (the R language!) script to be run on files amounting to 30 GBs! This was my first professional experience after…