Even though it’s still at version `0.4`, the `ggvis` package has quite a bit of functionality and is highly useful for exploratory data analysis (EDA). I wanted to see how geographical visualizations would work under it, so I put together six examples that show how to use various features of `ggvis` for presenting static &… Continue reading
Post Category → maps
Power Outage Impact Choropleths In 5 Steps in R (featuring rvest & RStudio “Projects”)
I and @awpiii were trading news about the power outages in Maine & New Hampshire last night and he tweeted the link to the @PSNH [Outage Map](http://www.psnh.com/outage/). As if the Bing Maps tiles weren’t bad enough, the use of a categorical color scale instead of a sequential one[[1](http://earthobservatory.nasa.gov/blogs/elegantfigures/2011/05/20/qualitative-vs-sequential-color-scales/)] caused sufficient angst that I whipped up… Continue reading
Moving The Earth (well, Alaska & Hawaii) With R
In a previous post we looked at how to use D3 TopoJSON files with R and make some very D3-esque maps. I mentioned that one thing missing was moving Alaska & Hawaii a bit closer to the continental United States and this post shows you how to do that. The D3 folks have it easy…. Continue reading
Spending Seized Assets – A State-by-State Per-capita Comparison in R
The Washingon Post did another great story+vis, this time on states [Spending seized assets](http://www.washingtonpost.com/wp-srv/special/investigative/asset-seizures/). According to their sub-head: >_Since 2008, about 5,400 police agencies have spent $2.5 billion in proceeds from cash and property seized under federal civil forfeiture laws. Police suspected the assets were linked to crime, although in 81 percent of cases no… Continue reading
Plot Me Like a Hurricane (a.k.a. animating historical North Atlantic basin tropical storm tracks)
Markus Gessman (@MarkusGesmann) did a beautiful job [Visualising the seasonality of Atlantic windstorms](http://www.magesblog.com/2014/10/visualising-seasonality-of-atlantic.html) using small multiples, which was inspired by both a [post](http://freakonometrics.hypotheses.org/17113) by Arthur Charpentier (@freakonometrics) on using Markov spatial processes to “generate” hurricanes—which was [tweaked a bit](http://robertgrantstats.wordpress.com/2014/10/01/transparent-hurricane-paths-in-r/) by Robert Grant (@robertstats)—and [Gaston Sanchez](https://github.com/gastonstat)’s [Visualizing Hurricane Trajectories](http://rpubs.com/gaston/hurricanes) RPub. I have [some history](http://rud.is/b/2012/10/28/watch-sandy-in-r-including-forecast-cone/) with hurricane… Continue reading
Overcoming D3 Cartographic Envy With R + ggplot
When I used one of the Scotland TopoJSON files for a recent post, it really hit me just how much D3 cartography envy I had/have as an R user. Don’t get me wrong, I can conjure up D3 maps pretty well [1] [2] and the utility of an interactive map visualization goes without saying, but… Continue reading
Charting/Mapping the Scottish Vote with R (an rvest/dplyr/tidyr/TopoJSON/ggplot tutorial)
The BBC did a pretty good job [live tracking the Scotland secession vote](http://www.bbc.com/news/events/scotland-decides/results), but I really didn’t like the color scheme they chose and decided to use the final tally site as the basis for another tutorial using the tools from the Hadleyverse and taking advantage of the fact that newer `gdal` libraries can read… Continue reading
Points, Polygons and Power Outages
Most of my free coding time has been spent tweaking a D3-based live power outage tracker for Central Maine Power customers (there’s also a woefully less-featured Shiny app for it, too). There is some R associated with the D3 vis, but it’s limited to a cron job that’s makes the CSV files for the sparklines… Continue reading