03 / Research line
Territorial data mining
Territorial data comes from censuses, administrative registers, sensors and local observation. These sources differ in scale and quality. Urban A.I explores planning needs while Gonfoterio® brings heritage, culture and local activity into a shared view without erasing context.
Data mining is useful when it leads to better questions about access, change and alternative explanations. Indicators need documented definitions and visible uncertainty so results can be debated.
Three areas of work
Sources and lineage
Coverage, frequency and restrictions are recorded before datasets are joined.
Spatial models
Areas are compared under consistent rules, distinguishing missing records from no activity.
Public interpretation
Maps explain limitations, update dates and the right scale of interpretation.
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