title: Visualization of spatiotemporal behavior of discrete maps via generation of recursive median elements.
abstract: Spatial interpolation is one of the demanding techniques in Geographic Information Science (GISci) to generate interpolated maps in a continuous manner by using two discrete spatial and/or temporal data sets. Noise-free data (thematic layers) depicting a specific theme at varied spatial or temporal resolutions consist of connected components either in aggregated or in disaggregated forms. This short paper provides a simple framework: 1) to categorize the connected components of layered sets of two different time instants through their spatial relationships and the Hausdorff distances between the companion-connected components and 2) to generate sequential maps (interpolations) between the discrete thematic maps. Development of the median set, using Hausdorff erosion and dilation distances to interpolate between temporal frames, is demonstrated on lake geometries mapped at two different times and also on the bubonic plague epidemic spread data available for 11 consecutive years. We documented the significantly fair quality of the median sets generated for epidemic data between alternative years by visually comparing the interpolated maps with actual maps. They can be used to visualize (animate) the spatiotemporal behavior of a specific theme in a continuous sequence.
authors.affiliation: Systems Science and Informatics Unit, Indian Statistical Institute-Bangalore Centre, 8th Mile, Mysore Road, RVCE PO, Bangalore 560059, India. bsdsagar@isibang.ac.in
authors.forename: B S
authors.initials: BS
authors.lastname: Daya Sagar
mesh_terms: D004196:Disease Outbreaks; D040362:Geographic Information Systems; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008377:Maps as Topic; D010930:Plague; D015203:Reproducibility of Results