The algorithm powering the Wild Streets app will feature a selection of carefully considered indicators to display the right tree for the right place. To make the greenery relevant to the user’s specific urban setting, the app asseses many cruicial data sets including local microclimate, ecological integration, pollution levels, flood risk, underground utilities and vehicle access.

Our data will then navigate users through the many different human and ecological benefits of their amazing designs, from carbon sequestration to fruiting times and value to wildlife.

Did we forget something? Do you have some data that would improve our algorithm and make the Wild Streets user experience even better? Get in touch!

Location Specific Flora

Wild Streets’ data is location specific meaning users will only be presented with plant and tree species that thrive in that climate. This includes tolerance of local microclimate conditions such as shade, drought and wind, while promoting indigenous species and locally extinct flora which could be safely reintroduced.

Ecosystem Services

The magnitude of the social-ecological benefits that trees and plants provide is huge. The app will indicate their value, including deflecting polluted air, absorbing CO2, stormwater absorption, cooling by shading and evapotranspiration, and the creation of shelter and food for local wildlife and pollinators amongst others.

Tree Inventory

Urban forests are better when diverse. Increasing resilience and offering more and enhanced ecosystem services. Our tree database will be comprehensive, and will take the existing population of trees into account to encourage diversity and avoid over planting a single species or cultivar.

Human Benefits

People care about their health and happiness, and greenery has a part in this – on our physical health through reduced pollution and our mental health thanks to the reduction in stress. Emerging research is successfully demonstrating these and other derived benefits such as increased productivity.

Environmental Challenges

Never before have we been able to produce such detailed data, much of it in real-time. Every city, neighbourhood and street faces its own pressures which will be in the Wild Streets ‘challenge database’ to inform user’s ideas. These may include the number of people, cars, the changing climate, or external events.


One of the biggest challenges facing urban greening projects is the vast differences in soil composition and properties across even small distances. Determining what greenery can be planted where, and what would be needed to improve it helps planners prioritise and lead to more sustainable solutions.

Underground Utilities

Planting a tree in a city depends on unique factors, digging may reveal electric and fibre optic cables, drainage pipework, water, gas, fuel and heating pipes, or even an underground train. Building a pictures of where these are, Wild Streets will prevent damage and potential safety hazards.

Street Fixtures

Greenery and street fixtures go hand in hand in making the urban space into a place. Different demographic groups and life situations have different priorities for the likes of benches, tables, shelter, bike racks, lighting, and others. Our inventory will include real, innovative products to complete user’s ideas.

Confidence Index

The amount of data available varies in different places, and the accuracy of suggestions with it. So for expectation management, the app will provide a transparent picture of the data availability for any given location, and a confidence index for the suitability of the tree and plant selection available to the users.

Data Ambassadors

Much of the data relevant to city greening already exists, and the Wild Streets application will bring it all together in one place and make it more useful. Depending on the city, there may be more or less data currently collected, and for any city, it is important to keep the data up-to-date.

To give the best possible accuracy to the app, and to enable citizens worldwide to particpate as quickly and pragmatically as is possible, Wild Streets is looking to create a network of Data Ambassadors as citizen scientists. This way it will be possible to gather data as widely as possible and keep continually improving it through the same public power that Wild Streets will give a voice to.

Who's on Board?