Sometimes your GIS project needs some extra oomph. Maybe finding the data you need to understand deforestation in Brazil is giving you a headache. Or, you need to run a machine learning algorithm on 50 gigabytes of weather station data and your poor laptop is melting the finish off of your dining room table. Google […]
This is a quick introduction on how to get and visualize Google search data with both time and geographical components using the R packages gtrendsR, maps and ggplot2. In this example, we will look at search interest for named hurricanes that hit the U.S. mainland and then plot how often different states search for “guns.” […]
From the post: A tweet by Hadley Wickham made me realize that we’ve learned quite a few good practices for using Google Sheets as part of our in-progress Provenance Index Remodel project at the Getty Research Institute…This post is an attempt to sum up some lessons learned. Read more here.
From the post: Creating a customized graph that communicates your ideas effectively can be challenging. This tutorial will introduce you to the popular R package ggplot2, its underlying grammar of graphics, and show you how to create stylish and simple graphs quickly. We will also go over some basic principles of data visualization. Read more […]
From the post: I’ve recently published version 0.3.0 of my USAboundaries R package to CRAN. USAboundaries provides access to spatial data for U.S. counties, states, cities, congressional districts, and zip codes. Of course you can easily get contemporary boundaries from lots of places, but this package lets you specify dates and get the locations for […]
