Other Software and Data

we can use our unique and persistent identifiers for IOT locations so that it is easier to match them with services and group them for analysis

Yeah, it's a bit like IOT and Big Data, right? Generally, I think the public sector expects to get a better view of their city – better view of maintenance necessary and maybe even how the traffic flows thru the area. We haven't seen all the Smart Cities can bring to the table yet.

Being able to quickly tie multiple data sources quickly is where we can help with spatial data sets. We've keyed spatial data to addresses.

The objective of implementing some technological innovation at the city level should always involve a benefit to the citizen. It can be as simple as letting people know when the city transit buses are running on schedule and when it will be at your stop. Or it can be as complex as infrastructure asset management that requires timely scheduling that meets an ROI.

I haven't seen much call for smart city tech in the UK aside from dashboards for the larger cities with live indicators such as traffic disruption and air quality. It would be nice to build rasters from the air quality sensors but expertise is required.

One project in Copenhagen created by a Parking company is combining IOT, position and AI to predict where the best chance of finding a free parking space is. It's not actually free spaces but more expected free spaces

Regarding Public Sector, Smartcities is all about Insight, the ability to get live accurate information from people, places or assets, is critical in the modern public sector. Lets be honest, Public Sector globally is under strain, they need to be leaner, smarter and use this rich information source to not only make better decisions quicker and smarter, but also to use it to direct future planning, predictive analysis.

GIS is excellent for identifying holes in the market within these progressive 'smart cities.' It can be used to determine so many vital metrics like are there adequate medical services to an area, do residents have adequate access to food & transportation? But moving forward, the collection of data from city infrastructure can help planners alleviate congestion, & improve the ability for people to travel through the busiest areas using alternate methods like self driving ubers or lightrail. These kinds of investments are SUBSTANTIAL & will require the best available data to aid in decision making.

@Andrew Bailey? I think you referring to plume modelling of pollutants which are typically an application for the raster domain.

@Andrew Bailey? as more and more sensors are deployed throughout cities, we'll see more need for raster modeling.

@Andrew Bailey?, creating raster from air quality sensor would be a very good use case for RasterGIS.

Is that fixed sensors or do see this being measured via drones?

I'd think you could use both as input for a air quality raster.