Geofutures has been around since 2002, and we’ve built our reputation on advanced spatial data analysis and research.
With a fast internet and browser-based maps, anyone can present and view data on maps. Spatial data analysis can do much more: combining datasets, creating unique indices and revealing patterns that weren’t detectable before.
In the example above, a government agency needed evidence of the impact of neighbourhood renewal expenditure on indicators such as crime, income and property values. The combined impacts were analysed using spatial statistics to reveal which type of intervention could be shown to have created the greatest return on investment.
Your analyst will see you now.
Data is far more readily available than when we started work back in 2002. Digitisation of every business process means most organisations have plenty of their own too. Often the issue is too much data that’s too difficult to navigate.
Analysing all this data is a huge opportunity for organisations to build insight, but there are risks too. Understanding these is vital to making the most of spatial data analysis, achieving a return on your investment and making the results easy to share and use.