February 2017 witnessed the first Festival of Creative Learning at the University of Edinburgh. To mark this, Friday 24th saw a pairing of the first and second seminars in a special ‘Future Techniques’ trilogy held as part of this year’s EEO-AGI(S) Seminar Series.
Dr. Paul Chapman of Glasgow School of Art’s School of Simulation and Visualization (SimViz) first asked: “Virtual Reality. Temporary distraction or real opportunity?”
For those of us old enough to remember some of the mixed efforts of the early 1990s (cumbersome games console add-ons and some questionable movies! – all discussed) this was an interesting update and a reminder of how the Computer Games industry has developed at enormous pace over the last few decades. For those new to VR this was a comprehensive coverage of hardware and software platforms (such as Google Cardboard, Samsung Gear VR and the HTC Vive offering – tipped as one VR…
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For some years now we have been led to believe that The Cloud gives us a robust solution to providing software services (including GIS) which avoids the dangers of being dependent on individual servers, which risk loss of hardware, power supply, cooling and other points-of-failure. This is a solution which has become increasing popular, with many organisations and services now dependent on it. In theory, the Cloud spreads the risk over thousands of individual servers, physically located in different data centres at different sites spread across the different countries and continents.
Or that’s the theory. The 28th Feb saw a failure of saw an outage of the US-EAST node of Amazon’s S3 service which has caused chaos across the web. Amazon’s web services have grown from an infrastructure built to support their own online shopping business to underpin around 150,000 other web sites, services and smartphone apps around the world…
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After the recent news from Friends of the Earth Scotland that there are now a total of 38 Pollution Zones in Scotland, up from 33 last year, we take a look at how geographic information, and particularly that created by citizens, is playing a role in our mission for breathe better air.
Much of geography’s traditional role has been on air quality monitoring – enabling sensors with location information to help build up the map visualising the spatial variability of the usual pollutants: carbon monoxide, sulphur dioxide, nitrogen oxide and particulate matter (both PM25/PM10) – as well as air quality modelling – whereby we utilise various factors to forecast accurate(ish) predictions.
ScottishAirQuality.co.uk is currently the go to place to see historic and current forecasts of air quality, with summaries provided from 95 monitoring sites across the country. A quick explore through the maps will highlight that the distribution of these sensors is limited, in turn creating more coarse outputs. The issue of forecasting air quality is based on both our ability to effectively monitor the air as well as understand the way in which air pollutants move within city spaces. How we simulate the latter through computer models – or Computational Fluid Dynamics (CFD) – is a challenge currently being addressed at the Scottish Government-backed CivTech tech accelerator (perhaps another cause for more 3D geospatial data?)
Tech is seemingly everywhere these days and the Future / Smart Cities agenda is no different and with it, a new lease of life for Citizens as Sensors; empowering local residents with the tools to plug the gaps on data, particularly where environmental monitoring is concerned. For Geographers in the room who’ve read Michael Goodchild know this as Volunteered Geographic Information, or VGI (an essential read all the same!).
With citizen science however comes the age old argument over data quality and relying on ‘the crowd’. Recent publications about citizen science from the Centre for Ecology & Hydrology and an EC Science for Environment Report highlight that fears over data quality can be mitigated by robust tools and can strengthen citizens’ data to inform policy and practice.
When it comes to creating a smarter community-led air quality sensing network, there’s no been any short supply recently…DISCLAIMER: what follows is a run down of some efforts but there’s no favouritism intended here!
One of the first kickstarter successes in this field was the Air Quality Egg, which enabled you to user connect an egg to your wifi (queue first ‘internet of things’ hint), collecting information on all the usual suspects using the fixed egg and sharing this ‘live’ to their platform.
Another fixed solution which has impressed has been UCL’s ExCiteS department spin-off NGO, Mapping For Change, and their Air Quality Monitoring Project. Although seemingly exclusive to London and silent for a couple of years now, the project deployed fixed tubes around the city to provided hourly readings and uses a very nice map interface to help you explore these monitoring sites (NB: ExCiteS team, if you’re listening, we’d love to see that gorgeous custom Leaflet clustering method open sourced!).
Since then the list of initiatives has grown rapidly, of course including wearable devices that hook into your phone as well as more and more internet-enabled devices. Aircasting is a notable offering; allowing users to acquire a wearable air quality device that tracks, shares and even visualises the air around you. Visual displays of air quality is a fantastic awarenesss raiser, and many illuminating vests have followed however where AirCasting stands out from the crowd is that it has open sourced much of it’s app, making it possible to create your own custom-designed sense Arduino device!
Another favourite is CleanSpace, which is a free app for users but requires you to purchase an air quality monitoring tag if you want to contribute. The CleanSpace Tag is also a personal air pollution sensor but comes with some pretty high tech features, as it’s (supposedly the first device) powered by Freevolt, which uses wasted energy in wireless signals to power itself…undoubtedly something every smart watch owner wishes was true for their device.
Whilst the plethora of new apps to get citizens involved with monitoring our environment can be seen as further engaging the masses to think more about issues like air quality, there remains an argument that this diversity of offering can in fact dilute citizens’ contributions, particularly where apps and agencies continue to operate in silos and not as ‘one geography’. With the rise of citizens’ digital presence (or digizens), perhaps now is the time to look at how we hone and align this vast knowledge and encouraging a new era of environmental action.
LiDAR scanning has captured the Forth Bridges in stunning 3D resolution and is being shared across educational bodies for use in interactive games, apps and virtual reality tours.
Yesterday, the Department for Environment, Food & Rural Affairs (DEFRA) reached their deadline for releasing data under their OpenDefra project, which has made freely available around 8000 datasets since the launch of the project in June 2015.
Further details from mapgubbins