Skip to main content

Timeline Maps with googleVis & Twitter Bootstrap Carousel (& updated Slidify)

I've wanted to create timeline maps with interactive googleVis Geomaps for a while. These would be a nice way to quickly show the spatial distribution of some data over time.

It turns out that it's pretty easy to do with a plugin for Twitter Bootstrap called Carousel. Carousel is probably intended for regular picture slide shows. But because it can hold iframes, it can pretty much include anything, even interactive maps.

Here is a short slide show with examples and code for how to combine googleVis and Twitter Bootstrap Carousel to create interactive timeline maps.

Note: I used the newest version (0.3.1) of Ramnath Vaidyanathan's Slidify to create the presentation. He is really putting a lot of good work into that package. I especially like the choice to set the default slide framework to Google's I/O 2012 style. It has many features you don't find in other HTML slide frameworks. Particularly useful here, it begins to load iframes when you are on the previous slide rather than waiting until you get to the slide with the iframe.


Code:
  • Code for the example website with a googleVis Carousel timeline map shown in the presentation.
  • Code for the presentation on GitHub. (Note: the code I used to 'Slidify' the presentation is virtually identical to Ramnath Vaidyanathan's example.

Update (16 Nov. 2012): Ramnath Vaidyanathan has created a great demonstration of how to use the whisker package to include this timeline map directly into Slidify slides.

Comments

Markus said…
Great post and I really like the new Slidify look!

I had some luck with creating animated geo charts using googleVis and a bit of JavaScript. You find an example and code in the following post from March 2012:
Changes in life expectancy animated with geo charts

Thanks for sharing!
Nice, I added your post to the presentation.
Erin said…
Hi Christopher!

Where is the code, please?

Thanks,
Erin
Hi Erin

All of the code is linked to in the presentation, but it is probably a good idea for me to highlight it in the post.

Updating . . .

Popular posts from this blog

Slide: one function for lag/lead variables in data frames, including time-series cross-sectional data

I often want to quickly create a lag or lead variable in an R data frame. Sometimes I also want to create the lag or lead variable for different groups in a data frame, for example, if I want to lag GDP for each country in a data frame.I've found the various R methods for doing this hard to remember and usually need to look at old blogposts. Any time we find ourselves using the same series of codes over and over, it's probably time to put them into a function. So, I added a new command–slide–to the DataCombine R package (v0.1.5).Building on the shift function TszKin Julian posted on his blog, slide allows you to slide a variable up by any time unit to create a lead or down to create a lag. It returns the lag/lead variable to a new column in your data frame. It works with both data that has one observed unit and with time-series cross-sectional data.Note: your data needs to be in ascending time order with equally spaced time increments. For example 1995, 1996, 1997. ExamplesNot…

Showing results from Cox Proportional Hazard Models in R with simPH

Update 2 February 2014: A new version of simPH (Version 1.0) will soon be available for download from CRAN. It allows you to plot using points, ribbons, and (new) lines. See the updated package description paper for examples. Note that the ribbons argument will no longer work as in the examples below. Please use type = 'ribbons' (or 'points' or 'lines'). Effectively showing estimates and uncertainty from Cox Proportional Hazard (PH) models, especially for interactive and non-linear effects, can be challenging with currently available software. So, researchers often just simply display a results table. These are pretty useless for Cox PH models. It is difficult to decipher a simple linear variable’s estimated effect and basically impossible to understand time interactions, interactions between variables, and nonlinear effects without the reader further calculating quantities of interest for a variety of fitted values.So, I’ve been putting together the simPH R p…

Do Political Scientists Care About Effect Sizes: Replication and Type M Errors

Reproducibility has come a long way in political science. Many major journals now require replication materials be made available either on their websites or some service such as the Dataverse Network. Most of the top journals in political science have formally committed to reproducible research best practices by signing up to the The (DA-RT) Data Access and Research Transparency Joint Statement.This is certainly progress. But what are political scientists actually supposed to do with this new information? Data and code availability does help avoid effort duplication--researchers don't need to gather data or program statistical procedures that have already been gathered or programmed. It promotes better research habits. It definitely provides ''procedural oversight''. We would be highly suspect of results from authors that were unable or unwilling to produce their code/data.However, there are lots of problems that data/code availability requirements do not address.…