Great Places

Machine learning and sector expertise for vibrant communities.

But how do you define "great" and how does data science and machine learning help?

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From great to greater...

Great Places Process®

Always Up to date

Through digitization you have an always up to date assessment of your designs, continually refreshed to understand changing customer demands.

Digital Scorecards

The power of data

Understand the true nature of your development and generate new design scenarios to react to ever-changing customer demands.

Benchmarking

How do you stack up?

Analyse competitor developments and assess your designs relative performance.

Quite the combination

The Great Places process combines decades of experience in urban development with cutting edge AI to help developers understand how to transform their projects into truly Great Places.

Digital Scorecards allow you to understand the true nature of your development and generate new design scenarios to react to every changing customer demands.

Benchmarking capability allows you to analyse competitor developments and assess your designs relative performance.

An always up to date commercial model means you always know where customers are placing value.

Data generated using AI technology for some of the world’s best performing developments gives you a level of insights never previously available to developers.

Data Science In Practice

Looking at just one of the many indicators we use for Great Places will give you an idea of the data science work in practice.

Let’s consider an estimate for Tree Canopy Cover (TCC, the percentage of an area covered by tree foliage) in various developments across Australia.

This data does not exist at the granularity level we require so the team have to be smart about creating it.

NASA’s TCC estimate, which covers the entire planet, is based on satellite data imagery and provides us with TCC at the 250m granularity level (i.e it divides the entire planet into cells of 250m x 250m).

NASA TCC estimates plus additional TCC data

After sourcing that data, we need to validate it; we found data sources to assess the need for recalibration.

The Western Australian government publishes official numbers for the tree canopy cover in their main cities, and what we found was that NASA’s estimates for Wetern Australian cities are consistently undervalued.

We built a bespoke Machine Learning algorithm to use these other data sources to recalibrate NASA’s TCC estimates and reduced error by a factor of 5!

NASA’s raw estimates and our own AI model estimate

So now, we have a data source for Tree Canopy Cover, but NASA’s data requires recalibration which will differ depending on which part of the world we’re investigating. Assuming there are local data sources, then recalibration is possible and efficient.

Although there’s no one single source of truth for TCC, what matters is that we redefine TCC measures in line with numbers that are relevant for our clients.

Delivering for you

We don’t reinvent your designs; we help you optimize them to the latest buyer demands.

Create a robust, data-driven evidence base, benchmarked against local, national, and global standards for expedited planning approval.

AI driven mapping of your competitor’s developments to understand the relative strengths and weaknesses of your current designs.

Collaborative approach with a tailored solution built around the specific strategic goals you define for your development.

The process de-risks decision-making, by creating a robust evidence base and ensuring you can stay focused on delivering developments that enrich the quality of life for the people who will live, work, and visit them.

Mosaic Great Places enables our customers to stay at the cutting-edge of innovation and sustainability within urban design - creating truly great places people want to call home.