Discovering urban functional regions using latent semantic information: Spatiotemporal data mining of floating cars GPS data of Guangzhou

Shili CHEN, Haiyan TAO, Xuliang LI, Li ZHUO

Acta Geographica Sinica ›› 2016, Vol. 71 ›› Issue (3) : 471-483.

PDF(1093 KB)
PDF(1093 KB)
Acta Geographica Sinica ›› 2016, Vol. 71 ›› Issue (3) : 471-483. DOI: 10.11821/dlxb201603010
Geographic Information Analysis

Discovering urban functional regions using latent semantic information: Spatiotemporal data mining of floating cars GPS data of Guangzhou

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2016, 71(3): 471-483 https://doi.org/10.11821/dlxb201603010

References

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(1093 KB)

Accesses

Citation

Detail

Sections
Recommended

/