ANALYSING RELATIONSHIPS BETWEEN URBAN LAND USE FRAGMENTATION METRICS AND SOCIO-ECONOMIC VARIABLES

摘要: Analysing urban regions is essential for their correct monitoring and planning. This mainly accounted the sharp increase of people living in areas, consequently, need to manage them. At same time there has been a rise use spatial statistical datasets, such as Urban Atlas, which offers high-resolution land maps obtained from satellite imagery, Audit, provides statistics European cities surroundings. In this study, we analyse relations between fragmentation metrics derived Land Use Cover (LULC) data Atlas dataset, socio-economic Audit reference years 2006 2012. We conducted analysis on sample sixty-eight Functional Areas (FUAs). One-date two-date based indices were computed each FUA, class date. Correlation tests principal component then applied select most representative indices. Finally, multiple regression models tested explore prediction variables, using different combinations explanatory both at given date dynamic context. The outcomes show that demography, conditions, labour, transportation variables have clear relation with morphology FUAs. methodology allows us compare FUAs terms distribution classes, complexity, structural changes, well preview model growth patterns indicators.