International Journal of Geographical Information Science

Big Spatiotemporal Data Analytics: a research and innovation frontier
pp. 1075-1088(14)
Authors: Yang; Clarke; Shekhar; Tao

An empirical study on the intra-urban goods movement patterns using logistics big data
pp. 1089-1116(28)
Authors: Zhao; Liu; Shi; Jia; Li; Chen

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data
pp. 1117-1136(20)
Authors: Srivastava; Vargas Muñoz; Lobry; Tuia

Identifying primary public transit corridors using multi-source big transit data
pp. 1137-1161(25)
Authors: Zhang; Li; Yang; Cui; Li; Qiao

Mining spatiotemporal association patterns from complex geographic phenomena
pp. 1162-1187(26)
Authors: He; Deng; Cai; Xie; Guan; Yang

SOVAS: a scalable online visual analytic system for big climate data analysis
pp. 1188-1209(22)
Authors: Li; Huang; Jiang; Hu

Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation
pp. 1210-1234(25)
Authors: Gong; Cartlidge; Bai; Yue; Li; Qiu

Data-driven approach to characterize urban vitality: how spatiotemporal context dynamically defines Seoul’s nighttime
pp. 1235-1256(22)
Author: Kim