GISCafe Weekly Review April 28th, 2016

Looking in the Crystal Ball at GIS and BI
April 28, 2016  by Matt Sheehan

So young Matt and I were chatting yesterday. As ever our GIS conversation was wide and interesting. As our discussion meandered we started looking in the crystal ball at GIS and business intelligence (BI). A fascinating conversation. And one in which GIS lite and GIS business specialists emerged.

When referencing GIS we often talk in terms of ‘WHERE’ or ‘Find the Nearest’ questions. At its core GIS answers these questions. Asset management has been a key reason to use GIS eg. where is the broken pipe in need of replacement? The public sector has gravitated to GIS in part for this reason. WHERE are our assets is a very obvious use of the technology, combined with map generation for visualization.

But that’s pretty narrow.

Commercial use of GIS has been somewhat limited versus the public sector. Why? It’s a good question, and one I often ponder. But that is changing. Mobile devices have brought the notion of location to the fore. In our new smartphone/tablet world, WHERE questions are often asked. The commercial sector have begun to realise WHERE is a key business question. That’s good right?

Digging into Big Data
April 27, 2016  by Ron Bisio

Like many catch phrases, the concept of “Big Data” comes with multiple definitions. From the GIS viewpoint, big data describes data sets that are so large—both in volume and complexity—that they require advanced tools and skills for management, processing and analysis. Such huge data sets can be a lot of work, but the extra effort pays off substantially. Geospatial big data provides detail and contextual information that provides immediate and long-term value across multiple disciplines and applications.


Geospatial big data can include information from an assortment of sensors and data collection methods. Points and features with their associated attributes can be gathered using handheld or survey-grade GNSS, dedicated field computers or even smartphones. These data sets are small compared to other techniques, but they provide very high levels of precision and detail and can be updated rapidly. Mobile mapping systems combine lidar, imaging, GNSS and other sensors to capture large quantities of 3D information. The data is then fused to develop comprehensive models and databases. Data collected from airborne and satellite platforms range from imagery and lidar to multi-spectral remote sensing.

Does GIS hand holding mean I’m a girly-man?
April 24, 2016  by Matt Sheehan

As a kid I was a typical boy. Always playing football (soccer), climbing trees, bleeding from a new wound, exploring, covered in mud. I remember hitting my teens and still wanting to do the same. But I realized a new, nagging internal pressure had surfaced. The scene in the Jungle Book where Mowgli follows the beautiful girl to the village, hypnotized, yet looking back at Ba-loo and his other friends, somehow always rang true with me. From free living independence I began to change. For the better no doubt. But I went from nose picking boy, to boyfriend then husband. I began to enjoy simple things like holding hands. Things which would have horrified me as a kid. I began to be guided down a different path by my wife: “More civilized, less smelly man” as she describes. Even to a point now where “manscaping” I will tolerate.

By ‘hand holding’ in this post I’m really talking figuratively. Guidance down a different path I mean directly. When I was a young lad I saw the world in a certain way. My wife gave me a different perspective, showed me a new path. A path, on my own, I would never have known existed (ok, I’m overstating a little here). A path I would have once shunned as “girly”. My wife made me curious, encouraged me to put aside my entrenched thinking, and open my mind to new possibilities.

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