A Space-Time GIS Approach to Exploring Large Individual-based Spatiotemporal Datasets

@article{Shaw2008ASG,
  title={A Space-Time GIS Approach to Exploring Large Individual-based Spatiotemporal Datasets},
  author={Shih-Lung Shaw and Hongbo Yu and Leonard S. Bombom},
  journal={Trans. GIS},
  year={2008},
  volume={12},
  pages={425-441}
}
The increasing number of large individual-based spatiotemporal datasets in various research fields has challenged the GIS community to develop analysis tools that can efficiently help researchers explore the datasets in order to uncover useful information. Rooted in Hägerstrand’s time geography, this study presents a generalized space-time path (GSTP) approach to facilitating visualization and exploration of spatiotemporal changes among individuals in a large dataset. The fundamental idea of… CONTINUE READING

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