Identifying residential neighbourhood types from settlement points in a machine learning approach.Remote sensing techniques are now commonly applied to map and monitor urban land uses to measure growth and to assist with development and planning.  These data are analysed alone and with five common remote sensing measures on elevation, slope, vegetation, and nighttime lights in a supervised machine learning approach to classify land use areas. 
machine learning
Identifying residential neighbourhood types from settlement points in a machine learning approach.Remote sensing techniques are now commonly applied to map and monitor urban land uses to measure growth and to assist with development and planning. 
remote sensing techniques