An overview of different data types and methods for urban land use analysis
Authors
Abstract
Modern planning and management of urban spaces is an essential topic for smart cities and depends on up-to-date and reliable information on urban land use. In the last years, driven by increased availability of georeferenced data from social or embedded sensors and remote sensing (RS) images, various methods become popular for land use analysis.This paper addresses the various methods that are employed in this context, as well as data types needed for these techniques. From our study we concluded that even using the same methods and the same kind of datasets, results depend on spatial configuration of the data,
accordingly to the specificity of each region. The work described in this paper is intended to provide relevant contributions to the selection of methods for knowledge discovery for city planning and management.