Setting up a complete system - IoT redefining GeoSpatial sciences

Gone are the days when you were required to ask for data and then wait for months of complicated procedures to get hands on that information. It is now possible to get your own data gather automatically and stored in life and updated systems every second. 

Recently, we needed some street level temperature profiles. And trust me getting those are almost impossible. So our first and obvious solution sought was the IoT core Raspberry Pi, Arduino, Skylab GPS sensor (not its a low cost, low precision, single frequency GPS sensor but offered within a meter positioning precision) and Sparkfun HIH-6130 temperature and humidity sensor.

We tethered it to a phone and voila!  It was a live setup capable of sending data to an online server. The next thing was to have an integrated mechanism for storage so we gathered the data into a PostgreSQL database sever up and running online. Have a look at the attached snapshot of the data stream. 

Once that was done all we required was to connect QGIS to our server database and map the values as you can see in the following snapshot.

While setting up the system took time. Surveying, classifying and producing research grade maps have gone way more easier than one could have wished for. This can now be employed in a variety of research areas. For instance, epidemiology, urban heat effects mapping etc. And here is the final print version of the map produced initially. 

GIS isn't fun if not full and automated.  So something even better would be this data rending live on to a web mapping application.