I made a prototype visualisation (on paper) for the Space-time analytics in giddy:
It would include one heat map matrix (upper-left corner). It basically shows how many polygons transitioned in-between hot-spots, cold spots, etc in between two years. These years could be dynamically changed with sliders. Each matrix grid entry could be colored according to how many polygons fall into it. (60 polygons in total dark blue - 0 polygons white)
For both years a Lisa cluster map could be shown (upper-right and lower-right corners).
Lastly the existing giddy polar plot could display the overall trend between the two years (lower-left corner).
Just to check before I start, was this what you had in mind?
An alternative could be to exchange the two LISA cluster maps with a "Local indicator of mobility association (LIMA) map" like this one: https://github.com/pysal/giddy?
Hello everyone,
I made a prototype visualisation (on paper) for the Space-time analytics in giddy:
It would include one heat map matrix (upper-left corner). It basically shows how many polygons transitioned in-between hot-spots, cold spots, etc in between two years. These years could be dynamically changed with sliders. Each matrix grid entry could be colored according to how many polygons fall into it. (60 polygons in total dark blue - 0 polygons white) For both years a Lisa cluster map could be shown (upper-right and lower-right corners). Lastly the existing giddy polar plot could display the overall trend between the two years (lower-left corner).
Just to check before I start, was this what you had in mind?