<p>It is possible to visualize information and model variable-specific spatiotemporal behavior by representing variable-specific information derived from the data in the form of a variable-specific cartogram. Sequential steps involved in this kind of modeling include (i) acquisition of variable-specific cartograms across spatiotemporal resolutions; (ii) implementation of algorithms to (a) establish spatial, geometric, topological, and morphological relationships, (b) generate further variable-specific cartogram units between time instants to transform sparse data into more dense data, and (c) compute spatial interactions across the inter- and intra-variable-specific cartogram-units; (iii) visualization of dynamic relationships; and (iv) representation of variable-specific attractor-like maps that explain spatiotemporal behavior. Geographical information science specialists and teachers of geography, cartography, remote sensing, computational geography, information visualization, and spatiotemporal modeling may find these ideas worth pondering.</p>