Tree coverage in urban spaces is a theme of great importance forcurrent societies, given all the benefits that green spaces provide to the population, especially in large cities. Trees fulfill a very important role to ensurequality of urban living and urban environmental quality, and as a result trees are considered to be an element of urban infrastructure. In spite of the recognition of the importance of tree coverage, events in which a street tree falls orneeds to be preventively cut down are quite frequent, damaging property andcausing disturbances in the routine of the population. From a rich dataset onurban trees for the city of Belo Horizonte (MG, Brazil), this paper proposescontributions towards the identification and solution of problems related to treecoverage, with special emphasis on felled trees. Data mining techniques are employed in search of consistent patterns, expressed as association rules or temporal sequences, that are related to felling events. We also seek to identify the information components that should be used to create a volunteered geographic information collection tool for urban tree coverage.
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