Evaluating open source GIS techniques for addressing database, analysis and visualization aspects of spatiotemporal information

*
Proposal
Short Form
Intermediate

Excerpt

Most GIS were not specifically designed to manage dynamic spatiotemporal data. Spatiotemporal mapping is the representation of changes in geographical phenomena. By identifying the characteristics of the spatial, temporal and attributional dimensions, we evaluate OSGIS techniques for data storage, retrieval, pattern analysis and visualization.

Description

Title: Evaluating open source GIS techniques for addressing database, analysis and visualization aspects of spatiotemporal information

Tags: Most GIS were not specifically designed to manage dynamic spatiotemporal data. Spatiotemporal mapping is the representation of changes in geographical phenomena. By identifying the characteristics of the spatial, temporal and attributional dimensions, we evaluate OSGIS techniques for data storage, retrieval, pattern analysis and visualization. Spatial change components include: shape, location, presence and size. Temporal change components include: states, rate, duration and intervals. Attributes include qualitative and quantitative descriptors. Combinations of changes are evaluated in dimensional components: attribute change (i.e. land-use), spatial attribute change (i.e. national boundaries), moving objects (i.e. hurricane paths), rate of change (i.e. populations of invasive species), temporal aggregation (i.e. precipitation) and spatial aggregations (i.e. voting results). In addition, visualization methods are explored: static (single and multiple snapshots), dynamic display (animation) and symbolic temporal representation. Results of the evaluations are presented. Some of the software evaluated: Weave, timemap.js, Dojo.js, QGIS temporal extension, OpenLayers Tracking and i2maps.

Authors: N. Lynnae Sutton and Jacqueline Olson

Speaking experience

FOSS4G, GIS in Action, Spatial Ecology International conference, OSGIS 2012

Speaker