PROJECT GIGALOPOLIS

Prediction mode is a collection of Monte Carlo simulations. The coefficient set and initial images for a prediction run are identical for every simulation, but the initializing seed value is altered a MONTE_CARLO_ITERATION (MC) number of times, with each simulation evolving slightly differently due to the modified random number series.

The first seed value is set in the scenario file with the RANDOM_SEED flag. The number of Monte Carlo iterations is set in the scenario file using the MONTE_CARLO_ITERATION flag. The coefficient set is defined in the scenario file with the PREDCTION_*_BEST_FIT flag, where "*" indicates a coefficient type. For a description of prediction mode output see our data page.

Each simulation in a prediction run is initialized with the PREDCITION_*_BEST_FIT coefficient set and SLEUTH images as described in a *basic
simulation*. The seed value for the first simulation is initialized
with the RANDOM_SEED flag. After a simulation
is completed, the initializing seed that began that simulation is reset
and a new simulation is run. This process continues MC number of times.

It is assumed that one growth cycle represents a year of growth. Following this assumption:

*number of growth cycles in a simulation
= stop_date - start_date.*

When the required number of growth cycles has been generated, the simulation

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