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Crowdsourced tree census data to create insights for urban ecology
Methods to transform urban data into local insights for community decision-making is an urgent issue in the growing field of civic analytics. As increasing population density, high living costs, and climate change have created significant urban challenges, underprivileged communities often face more severe quality of-life conditions.
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New streams of data enable us to associate physical objects with rich multi-dimensional data on the urban environment. Open data integration can contribute to deeper insights into urban ecology. Street trees in New York City have been analyzed with cross-domain data integration methods by combining crowd-sourced tree census data - which includes geolocation, species, size, and condition of each street tree - with pollen activity and allergen severity, and other neighborhood factors.
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