The header files for avg.log and std_dev.log are identical. The file data may be linked by run, year, and index number. All metrics are for a single year; they are not cumulative.

Contents of avg.log and std_dev.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

year: the representative date for a growth cycle

index: control year number

sng: the number of new urban pixels generated from spontaneous growth

sdg: the number of new urban pixels generated from new spreading center growth

sdc: relic data type no longer used

og: the number of new urban pixels generated from edge growth

rt: the number of new urban pixels generated from road influenced growth

pop: the total number of urban pixels

area: the total number of urban pixels (same as pop)

edges: the total number of urban/non-urban pixel edges

clusters: the total number of urban clusters

xmean: the average urban pixel column value

ymean: the average urban pixel column value

rad: the radius of the circle which encloses the urban area: (pow ((area / pi), 0.5))

slope: average slope of urbanized cells

cl_size: average urban cluster size

diffus: dispersion_coefficient value

spread: spread_coefficient value

breed: breed_coefficient value

slp_res: slope_coefficient value

rd_grav: road_gravity_coefficient value

%urban: Percent of the number of urban pixels divided by the total number of pixels in the study area (nrows*ncols) minus the number of pixels that are completely excluded from urban growth: ((100.0 * urbancount) / (total_pixels - (noncount+road pixels))

%road: Percent of the number of road pixels divided by the total number of pixels in the study area (nrows*ncols) minus the number of pixels that are completely excluded from urban growth: ((100.0 * roadcount) / (total_pixels - noncount))

grw_rate: Percent of the new urban pixels in one year divided by the total number of urban pixels: (100 * num_growth_pix / pop)

leesalee: a shape index, a measurement of spatial fit between the model's growth and the known urban extent for the control years. In predict mode this value will always be zero (0):
  
where A is modeled and B is actual urban area.

grw_pix: total number of new urban pixels