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Reconstruct spatial networks from data acquired at different time steps (TS).
How to link nodes across time steps is an open question and may vary between analyses:
link nodes by identity: if at different TS we can identify each node and they are the same across some time steps, we link them for these TS
allow link to future neighbors: we could project nodes positions in the next TS and link them to their future neighbors, by radial distance, knn or Delaunay triangulation methods
other ideas are welcome
Then one important parameter is how to set the fake distance between TS compared to real spatial distances? We may consider the relationship between space and time given by the speed of cell migration or diffusion of chemicals. This is probably an important parameter for blind neighborhood discovery like in mosna.
The text was updated successfully, but these errors were encountered:
Reconstruct spatial networks from data acquired at different time steps (TS).
How to link nodes across time steps is an open question and may vary between analyses:
Then one important parameter is how to set the fake distance between TS compared to real spatial distances? We may consider the relationship between space and time given by the speed of cell migration or diffusion of chemicals. This is probably an important parameter for blind neighborhood discovery like in mosna.
The text was updated successfully, but these errors were encountered: