Dynamically visualizing how
cultural patterns, networks and exchanges
evolve in space and time
SPIN aims to map the dissemination of cultural nationalism across Europe by charting cultural patterns and networks as they evolve over time. We aim to present these patterns in interactive, clickable maps visualizing networks and diffusion patterns, and dynamically morphable by means of a click/draggable time focus and time slider.
(NOTE: This feature will work in most browsers, but NOT in Internet Explorer 8; Chrome is fastest.
The speed of data selection depends on your internet connectivity, the speed and fluidity of visual rendering on the processing power of your computer ).
The database visualization uses either lists (which are clickable to bring up the textual or visual contents) or visualizations, chronologically as geographical or social mapping. These SpInTime mappings are largely intuitive.
The map is can be zoomed in or out and clicked/dragged. The selection can be narrowed or widened and moved in time by adjusting the time slide at the bottom of the map. You can narrow or widen the begin- and end-dates of the time selection by shifting edges of the time focus, and the time focus as a whole can be slid along the timeline to visualize pattern shifts and changes over time.
In the “Letters” map
-you can choose to bring up a social visualization rather than the default geographical visualization of the epistolary network: use the tab at the top of the map. This is of interest if a variety of correspondents has been selected, or (for instance) the letters sent to, or from the city of Paris.
SpInTime has been developed for SPIN by Lab1100 (Pim van Bree and Geert Kessels) in consultation with Joep Leerssen, and is intended
-- to visually render these networks both in space (over the European landmass) and dynamically in time (in the course of the "long nineteenth century
-- to develop a data management concept that allows flexible data input, multiple applicabilities, and low-threshold technology for high-quality visual rendering.