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Output data files generated by SLEUTH are dependent upon the mode of the application. Further, function and flag settings in the scenario file act as secondary controls. Some contain information on memory storage and system performance while others store model output data. Generating log files can slow the model's performance considerably, especially during calibration. For general applications, most log flags should be set to "NO". The table below lists all statistic files generated by SLEUTH.
|
file name
|
created in mode
|
flag dependent
|
| LOG_# |
T, C, P
|
yes
|
| avg.log |
T, C, P
|
yes
|
| coeff.log |
T, C, P
|
yes
|
| control_stats.log |
T, C
|
no
|
| restart_file.data# |
T, C, P
|
no
|
| std_dev.log |
T, C, P
|
yes
|
T = test mode C = calibrate mode P = predict mode < > = static identifier { } = variable identifier
avg.log and std_dev.log
flags: WRITE_AVG_FILE(YES/NO) and WRITE_STD_DEV_FILE(YES/NO)
Measurements of simulated data, such as number of urban edges, clusters
and urban pixels, are saved in the avg.log
file. If in test or calibrate
mode, for every year that real data exists (a control year) SLEUTH
writes out a grid of urban extent (and land cover). Values are calculated
from these grids and at the end of a run (a run begins with a single
set of coefficient values and is executed n MONTE_CARLO_ITERATIONS).
These values for each year are then averaged over the number of monte
carlo iterations, and the result is written to the corresponding run
number in control_stats.log. The standard
deviations of the averaged values are written to the std_dev.log
file. If in test mode, this
process is performed for every year, not just the control years. The avg.log
file may be used in the final step of calibration to derive
forecasting coefficients.
control_stats.log
Control_stats.log is generated in test
or calibrate mode. It
contains the r2 values of the simulated data (found in the avg.log
file) compared to input urban (and land cover) data. The values for the
input urban statistics can be written to the LOG_#
file by setting the LOG_BASE_STATISTICS
flag in the scenario file to "YES".
This is the primary file used to narrow coefficient ranges during calibration.
coeff.log
flags: WRITE_COEFF_FILE(YES/NO)
Due to SLEUTH's self-modification qualities, coefficient values may be
modified slightly after each growth cycle.
The coeff.log file stores coefficient values
for every run, monte carlo iteration and year. These data can also be
written to the avg.log file. This file may
be used in the final step of calibration to derive
forecasting coefficients.
