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From GPS and Google Maps to Spatial Computing: Coursera MOOC

Massive Open Online Courses are a really interesting way to learn new topics and explore new ideas. Geospatial MOOCs, be it the first Geospatial MOOC (as far as I can recollect) Maps and the Geospatial Revolution or ESRI’s Going Places with Spatial Analysis or Skills for Digital Earth: Discover how Location tech is changing the world , they are no doubt great course with a lot to learn. Sometimes I felt that they were a usually a bit too mainstream for GIS students/professionals.

Here’s another interesting MOOC that I guess would be much more entertaining and informative for all of us From GPS and Google Maps to Spatial Computing.  And it begins today – 23th September 2014! It is offered by the University of Minnesota and is eight weeks long, running from September 23 to November 17, 2014.

What is so different with this MOOC compared to the other Geospatial MOOC?

Well, the fundamental difference is that they have 3 different tracks and that the focus is on Spatial computing not GIS.

  • Curiosity Track: Just browse through the course, learn about spatial technologies and spatial computing topics.
  • Concepts Track: This one is for you if you want to commit yourself to learning about spatial computing topics and take the course seriously but do not have the programming expertise to complete the tasks.
  • Technology Track: This is the fully loaded version that involves both concepts and programming.

If you are wondering what the programming prerequisites would be! According to Coursera page it is “experience with the Java programming language, a little web development experience, knowledge of basic data structures, pre-calculus level math (e.g. geometry), basic statistics, and — importantly — the ability to install and managed sophisticated development tools and libraries

Here’s the outline of the program

Week 1: Introduction to Spatial Computing and Overview of Course
Week 2: Spatial Query Languages
Week 3: Spatial Networks (e.g. road networks)
Week 4: Spatial Data Mining
Week 5: Volunteered Geographic Information
Week 6: Positioning
Week 7: Cartography and Geographic Human-Computer Interaction
Week 8: Future Directions in Spatial Computing

Software requirements

Like most Coursera courses, you have the opportunity to earn a certificate of accomplishment at the end of the course and it is also being offered as a signature track course.

Here’s the course link. Happy learning 🙂

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JavaScript for Geospatial applications: An Overview

Javascript-geospatial

JavaScript has formed a strong relationship with the Geospatial world (WebGIS, et.al) in a manner that is reminiscent of the relationship between Python and Desktop GIS. JavaScript is often regarded as more of a scripting language than a full-fledged object oriented language but I must admit it has got a much wider functionality than one might imagine and for the record, JavaScript is officially termed as Object-Scripting language (read: Mozilla’s JS page). If you are looking for an overview of  programming languages used in GIS, have a look at my previous post.

While the capabilities of Desktop GIS and their applications are undisputed, there has been a steady growth in the number of WebGIS applications and Apps. Majority of such applications utilize one JavaScript library or the other. Depending on whether you just want to use JavaScript for developing a simple map for your website (Related: Deploying your own Slippy maps) or visualize tweets in real-time, one of the many JavaScript libraries and tools might be of interest to you.

Here’s an overview of JavaScript for Geospatial applications:

Leaflet

Leaflet is a great tool for making mobile-friendly interactive maps and it extremely light-weight. Leaflet has a lot going for it and was one of the fundamental driving forces behind the recent redevelopment of OpenLayers 3.0.

OpenLayers

OpenLayers has great documentation, a new version (3.0), lots of examples to get you started and the best thing of them all – Open source! Certainly my favorite JavaScript library and is one of the easiest ways to get a map on the web.

ESRI API for JavaScript

ESRI does it and does it well. Not for nothing, is ESRI considered as the GIS pioneer.  Some of the functionality that you see with ESRI’s API is not that easily achievable with the Open source solutions especially if you have limited programming skills. However ESRI is not alone in the JavaScript for Geospatial arena and it looks like this is going to be one interesting competition.

CartoDB

CartoDB impressed us with their living cities visualization partnering with HERE and then they “wowed” us with the real-time geo-tagged twitter maps. Guess those two examples are enough to understand why CartoDB.js is a great library for geospatial applications. Here’s a presentation (Jan 2013) about using CartoDB to develop maps for the web.

MapBox

MapBox.js is another cool library for building interactive maps. FourSquare, Pinterest, National Geographic are some of the companies that utilize MapBox’s JavaScript libraries for their web maps.

D3

Data-Driven Documents or D3 is general purpose data visualization library. D3 is certainly a hot topic of discussion and development among geospatial professionals. Considering that D3 supports a new format called TopoJSON for topology data, this is a given I guess! Our geo-geek blog partners at digital-geography do most certainly love this. Here’s a blog post regarding mapping using D3.

Node.js & Node Postgres

Great JavaScript libraries for building a web based PostGIS application. Here’s the guide that I found rather useful when getting started with Node.js.

Open Weather Map API

Get detailed weather information using this free JavaScript API.

Cesium

Really cool JavaScript library for rendering interactive 3D (0r 2D) graphic visualizations without any plug-ins on the browser, requires WebGL though.

HERE Maps API

If you want to make use of the HERE’s awesome expertise with traffic information, routing and more.

StoryMap.js 

The Open source alternative to ESRI’s Story map application.

And of course, Yahoo Maps API, Bing Maps API and Google Maps API. If you dont want to use the data from the big players, there is always OpenStreetMap.

Learning JavaScript

There are lots of JavaScript books, resources and tutorials available and to each one his/her own but you might want to have a look at OpenGeo’s resource for learing to use JavaScript for Geospatial applications aka programming WebGIS applications – OpenGeo’s JS page.

I am sure that I am missing a lot of really nice JavaScript libraries and APIs. It would be wonderful to have your input in this regard. After all, that’s what the comments section is for 🙂

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