作者: Giuseppe Borruso
DOI: 10.1007/978-3-540-69839-5_34
关键词: Kernel density estimation 、 Density estimation 、 Diversity (politics) 、 Index (economics) 、 Spatial distribution 、 Geography 、 Distribution (economics) 、 Immigration 、 Economic geography 、 Demography 、 Spatial ecology
摘要: The paper is focused on the analysis of immigrant population with particular reference to their spatial distribution and tendency cluster in some parts a city, risk generating ethnic enclaves or ghettoes. Methods used past measure segregation other characteristics immigrants have long been aspatial, therefore not considering relationships between people within city. In this attention dedicated methods analyse residential spatially, density-based method. Municipality Trieste (Italy) as case study test different for immigration, particularly compare traditional indices, Location Quotients Index Segregation, different, ones, both based Kernel Density Estimation functions, S index first version an Diversity.