About control_stats.log

Each row of control_stats.log results from
the execution of a single run. The output statistics contained in this
file are referred to as *scores *for each run. The *coefficient *columns* *at the end of each row are the corresponding initializing
coefficient values. The *composite *score* *gives a best result
across all statistics. By scanning across the line you can see which statistics
fit better than others within a single execution, and which coefficient
values performed the best. The scores in control_stats.log may be linked by row to the avg.log, std_dev.log and coeff.log files by the run number.

Contents of control_stats.log:

**run**: a run consists of a single set of coefficient
values and is executed MONTE_CARLO_ITERATIONS number of times from start to stop year

**product**: all other scores multiplied together

**compare**: modeled population for final year / actual
population for final year, or

IF P_{modeled > }P_{actual }{ 1 - (modeled population
for final year / actual population for final year)}.

**pop**: least squares regression score for modeled
urbanization compared to actual urbanization for the control years

**edges**: least squares regression score for modeled
urban edge count compared to actual urban edge count for the control years

**clusters**: least squares regression score for modeled
urban clustering compared to known urban clustering for the control years

**cluster_size**: least squares regression score for
modeled average urban cluster size compared to known average urban cluster
size for the control years

**leesalee**: a shape index,
a measurement of spatial fit between the model's growth and the known
urban extent for the control years

**slope**: least squares regression of average slope
for modeled urbanized cells compared to average slope of known urban cells
for the control years

**%urban**: least squares regression of percent of
available pixels urbanized compared to the urbanized pixels for the control
years

**xmean**: least squares regression of average x_values
for modeled urbanized cells compared to average x_values of known urban
cells for the control years

**ymean**: least squares regression of average y_values
for modeled urbanized cells compared to average y_values of known urban
cells for the control years

**rad**: least squares regression of average radius
of the circle which encloses the urban pixels

**Fmatch**: a proportion of goodness of fit across
landuse classes. { #_modeled_LU correct / ( #_modeled_LU correct +
#_modeled_LU wrong)}

**diff**: run initializing dispersion_coefficient value

**brd**: run initializing breed_coefficient value

**sprd**: run initializing spread_coefficient value

**slp**: run initializing slope_coefficient value

**RG**: run initializing road_gravity_coefficient value