558 - Demonstrate how the adding time-series data reveals (or not) patterns not evident in a cross-sectional data

Demonstrate how the adding time-series data reveals (or not)patterns not evident in a cross-sectional data

Concepts

  • [CV4-4] Visualization of temporal geographic data
    Visualization of change and movement across space and time is of increasing interest to researchers and geospatial practitioners. The visualization process of temporal data has four steps: (1) time values to be visualized, (2) point of view on time, that identifies the characteristics of the temporal values to be visualized, (3) time space: define the displayable space of the time values and (4) point of view on the visualization space, the implementation of the perceptible forms of time. The visualization of spatio-temporal data can be done in many different ways such as multi-panel plots (maps), time-series plots (graphs), space-time plots (graphs), 3D Virtual Reality (Computer generated artificial environment), animations (production of consecutive images), and tables. Spatiotemporal data comprises three important components: geographic location, temporal information and the thematic attributes describing a real-life phenomenon.