Introducing the latest advancement which seamlessly connects your business to the cloud.
As a graduate, new things fly across your desk daily, mostly met with a wary smile belying an inner voice yelling “what is that?!” At Spatial Vision being a graduate provides countless opportunities to invariably splash your imagination against the canvas of the burgeoning geospatial industry. None more so than the graduate cadetship project. An opportunity to take 120 hours and dive down the rabbit hole. Which is why when performing daily tasks your mind can afford to answer that little question with the intrigue it deserves.
The plugin contains a simple tool to add noise to spatial data for the purposes of maintaining “geo-indistinguishability”, i.e. an individual’s true location shouldn’t be able to be determined by the location of the point, but it should be accurate enough to make a useful study of the data. This is done by computing a random number from a 2d laplacian distribution and migrating the origin point by this much. It’s an implementation of the algorithm implemented in , and inspired / based on the implementation in the location-guard browser extension.
There are many definitions of Smart Cities and examples of what they can achieve. However, it would appear that there is no cogent model or framework to define them let alone measure their success. That being said, Marc Jadoul from Alcatel Lucent has laid out four steps to build Smarter Cities in a recent presentation:
1. Networked infrastructure
2. Big data and open data
3. Smart public services
4. Citizen applications
Not surprisingly, a network communications platform is the foundation for the plan. Jadoul was very complimentary on Australia’s investment in the National broadband Network (NBN) that will assist to establish high speed connectivity across the country.
The second step is about data and governance. Data comes in many forms and sources. Jadoul reckons that ‘big data’ is the oil of the 21st century. With already more things connected to the internet than people on our planet, the Internet of Things (IoT) is creating a wealth of (big) data to be tapped. Our smart phones and cars are already generating legions of dynamic data from multiple sensors. Combined with sensors tied to all sorts of assets such street lights, CCTV cameras, shipping containers and even connected coffee pots our cup runneth over.
Spatial Vision is the exclusive reseller of the GIS Cloud SaaS applications. This recently held webinar walks you through some of the main features of GIS Cloud, including the Map Editor and Mobile Data Collection app for mobile devices.
For further information contact us directly on 03 9691 3000.
Federal and State elections bring into focus a broad range of issues, some or many of which are very important to us. Ultimately, it is the balancing of these issues and judgements about the various visions, priorities and programs on offer that determines how we vote.
Many of the promises offered up by the different parties can be presented in map form. Using interactive map tools, new spatial technology is allowing voters to engage and better understand issues than ever before. Spatial Vision’s itsyourvote.com.au is a good example of such an approach. This site shows how social and political issues that emerged in the lead up to last year’s Victorian State Election could be visualised in the form of interactive maps.
There are billions of things connected to the internet. Your phone, watch, running shoes, home and work computer may be all connected. More broadly, water, electrical and telco assets, delivery vehicles, council garbage trucks, red light cameras, weather stations now or in the future will be a node on the net. Collectively this combined network, the biggest humankind constructed network is called the Internet of Things.
A problem that arises often when utilising GIS data is the way labels are rendered on the map, particularly labels that contain more than one word. Take for instance a place name such as Koo wee rup (in Victoria). Some GIS applications allow you to stack labels (place words on top of each other) to condense multi-word labels so that they better indicate the location of the place. This is a useful feature, but place names made up of three or four words can look odd when stacked, particularly if they are made up of short words, say three characters or less.
Have you ever considered all the ways we use geography on a daily basis? I thought I would use a mind map to create a picture of my geographic relationships…
You can easily see that everything we do and everything around us is located somewhere and connected by geography. To take that one step further, how do you harness that information? Geospatial intelligence is derived from understanding the geographic relationships between things.
So here comes the company pitch, Spatial Vision helps customers create and utilise geospatial intelligence in their decisions. Hope you enjoy the video.