Mining Urban Deprivation from Foursquare: Implicit Crowdsourcing of City Land Use

被引：0

作者：

Quercia, Daniele ^{[1
]}

Saez, Diego ^{[2
]}

机构：

[1] Yahoo Labs, Barcelona, Spain

[2] Univ Pompeu Fabra, Barcelona, Spain

来源：

IEEE PERVASIVE COMPUTING | 2014年 / 13卷 / 02期

关键词：

FACILITIES; ACCESS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Location data from the Foursquare mobile application proves a viable source of land-use data for studying the relationship between the presence of specific physical venues in a London neighborhood (such as tanning salons or flea markets) and the neighborhood's socio-economic deprivation.

引用

页码：30 / 36

页数：7

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