  This paper presents a novel framework using neural cellular automata (NCA) to
regenerate and predict geographic information. The model extends the idea of
using NCA to generate/regenerate a specific image by training the model with
various geographic data, and thus, taking the traffic condition map as an
example, the model is able to predict traffic conditions by giving certain
induction information. Our research verified the analogy between NCA and gene
in biology, while the innovation of the model significantly widens the boundary
of possible applications based on NCAs. From our experimental results, the
model shows great potentials in its usability and versatility which are not
available in previous studies. The code for model implementation is available
at https://redacted.
