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"Geospatial data is the link identifier between objects, people, systems, and the environment. It exists in tiers, from a simple address, to timeseries data for a moving vehicle, to derivative geospatial data that uses timeseries data and applies techniques such as machine learning to generate further insight." - Innovate UK KTN, Meeting Net Zero with the Power of Place

Everything you need to know about Geospatial Data

Dirty location data is a pet hate of mine, and I think there’s still too much of it around.  From points of interest and customers in the wrong place, to app-based data from small samples, bad decisions will be made today because of this....

GeoTrio Events Showcase Green.io Intent

After 3 fascinating days, it’s clear that Geospatial Data Science is now at the heart of successful sustainability solutions across the public and private sectors - and not just in tech-heavy ‘.io’ startups . But this is not purely about tech, platforms, stats or analytics: 

• This is an industry full of passion for making a positive difference, with little sign of the greenwashing seen in some sectors. The sustainability intent of the contributors was clear, and this intent is making a difference that can often be measured.  
• Data accuracy is critical to making good decisions, and collaboration / citizen science approaches can be key to generating more reliable geospatial and environmental data, increasing its value and the positive impacts of its use.  
• This needs data scientists who are also people-centric- with the ability to build trust and long-term relationships, especially as data sources become faster with more emphasis on real-time automation.

Location, location, location: how decoding geospatial data is helping innovative businesses get ahead

"Geospatial data is like the internet used to be in the 90s: no one understood its potential until one day it became essential"