Land use discovery based on Volunteer Geographic Information classification

作者：

Highlights：

• A novel approach for land use labelling of urban regions is proposed.

• A multi-label classifier infers categories of regions with high human activity.

• Information retrieval techniques applied to online social data to feed classifier.

• The proposed system has been tested in two cities with promising results.

摘要

•A novel approach for land use labelling of urban regions is proposed.•A multi-label classifier infers categories of regions with high human activity.•Information retrieval techniques applied to online social data to feed classifier.•The proposed system has been tested in two cities with promising results.

论文关键词：Urban computing,Volunteer Geographic Information (VGI),Land usage,Supervised classification

论文评审过程：Received 3 March 2019, Revised 8 July 2019, Accepted 19 August 2019, Available online 20 August 2019, Version of Record 24 August 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112892