Thank you! I work at CartoDB, a startup dedicated to visualising data in maps in innovative ways. We have a tool to import geolocated data from Twitter, and I personally work daily on Torque, our time-based animated maps. So being a megafan of RoosterTeeth, I spent a few minutes last night making this.
Anyone can make maps like this (although you need to contact us to access the twitter importer). In fact you can use the dataset I made about RT right now.
You're better off using a different platform, Google Maps Engine will be shutting down on December 12th, 2015. CartoDB is a good alternative and is easy to use and can create animated maps. Files are usually uploaded in Geojson format, it supports other file formats too including shapefiles (in a zip file).
Here's a guide to get you started.
Edit: Spelling
So easy in CartoDB (http://cartodb.com)! And definitely this project would fit in the free account. http://docs.cartodb.com/tutorials.html#creating-a-simple-map-of-points is the tutorial that will get you going
I think looking into non-coding options to start is a really good idea. It will get you used to the kind of thing you'll see when building a web map from scratch, so when you eventually see it in code you'll have a better idea of what's going on.
Edit: another non-coding option that I really like is CartoDB
Data source are from a team of journalists, led by journalist Firas Jonblat, at (goverment run) Radio Sweden in cooperation with the European Broadcasting Union, EBU, which has collected stories of Syrian refugees trying to find a way to Europe.
Swedish Radio has been assisted by reporters from the BBC, Radio France and Bayerischer Rundfunk, all members of the EBU. The tools used for the presentation are CartoDB, for providing the map and the data storage, and React for the front-end development.
Hi, would you be interested in working with CartoDB (http://cartodb.com)? We have an office in Madrid, so that could work well. If so, shoot me an email andrew at cartodb com and let me know what you are looking to do.
That's an interesting link, thanks.
Similarly, have a look how the Brazil vs. Germany game played out on Twitter. You'd expect Germany to have a huge activity, but it's much less than in neighboring countries.
Also, you seem to think mostly Germans would follow Özil on Facebook. But football a global sport, he plays in the UK, and at Arsenal at that. Arsenal is the stereotypical club for US soccer fans to follow, so the pool of potential fans is much larger.
Sure! I was running dump1090 (https://github.com/antirez/dump1090) using the mode that outputs the raw data to port 30003. So I launched it with: ./dump1090 --aggressive --interactive --net --net-sbs-port 30003 then in another terminal I launched netcat to save that to a CSV: nc 127.0.0.1 30003 >> flights.csv
That CSV was then uploaded to http://cartodb.com which lets you make quick beautiful visualizations of geodata. Pretty simple. I'm working on making some tools for analyzing the raw dump file, giving you charts of the most busy times, number of flights, etc.
Check out cartodb
It has free accounts, and has a lot of functionality.
You can use addresses, gps cordinates, and a few other methods to map areas. All you need is a csv file that is organized in a way that their software can read it, so definitely familiarize yourself with how they need it organized first.
If you need to convert addresses to coordinates, then check out this batch geocodeing site. It works pretty well, but can be a bit slow. This info should also be organized into columns then pasted in.
Goodluck
You could have a look at cartodb. You can host up to 50mb for free and create animations, etc.
Actually I just came across this. Worth a look!
Least for what I was thinking of, the agency information isn't necessary (but I could generate some interesting heat maps if you did). All I really need is the timestamp on the incident reports in the getgeo API. The name wasn't exactly concise and I didn't even look at it.
Check out http://cartodb.com if you feel like playing with that data.
Load your geojson into CartoDB (http://cartodb.com), then edit the data directly in the map (click any feature and then click the 'edit' button in the infowindow.
Finally, export your new geojson file with Options -> Export
You can do it in CartoDB and Odyssey.js. CartoDB is a dynamic data mapping tool, and Odyssey.js is just the open source library to create stories (and can use layers from CartoDB)
Summit data was uploaded to CartoDB and visualised as a heat map. Some "peaks and hills" are just locality names containing the world "hill", they are not true hills but nevertheless the visualisation it gives a good overall idea of the density of summits throughout the contiguous United States.
This is public domain data from US government that was downloaded from this web-page on ESRI's website.
Generally yes but not at an enterprise level: http://cartodb.com/enterprise
But if you want to do it all in house the best place to start would be a PostGIS - GeoServer - Openlayers stack. This has been made user friendly in the OpenGeo Suit: http://boundlessgeo.com/solutions/opengeo-suite/
Guys, off beat request.
Can someone please interpret this heat map for me. I understand that it is checking for the countries from where tweet was made. But when I zoom in, I don't see any bubbles.
That is, how to make sense of this properly?