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!
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.
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.
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.
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.