scenario.demo200_calibrate

来自「CA仿真模型中SLEUTH模型」· DEMO200_CALIBRATE 代码 · 共 434 行 · 第 1/2 页

#  format:  <location>.urban.<date>.[<user info>].gif 
# 
# 
URBAN_DATA= demo200.urban.1930.gif 
URBAN_DATA= demo200.urban.1950.gif 
URBAN_DATA= demo200.urban.1970.gif 
URBAN_DATA= demo200.urban.1990.gif 
# 
# Road data GIFs 
#  format:  <location>.roads.<date>.[<user info>].gif 
# 
ROAD_DATA= demo200.roads.1930.gif 
ROAD_DATA= demo200.roads.1950.gif 
ROAD_DATA= demo200.roads.1970.gif 
ROAD_DATA= demo200.roads.1990.gif 
# 
# Landuse data GIFs 
#  format:  <location>.landuse.<date>.[<user info>].gif 
# 
LANDUSE_DATA= demo200.landuse.1930.gif 
LANDUSE_DATA= demo200.landuse.1990.gif 
# 
# Excluded data GIF 
#  format:  <location>.excluded.[<user info>].gif 
# 
EXCLUDED_DATA= demo200.excluded.gif 
# 
# Slope data GIF 
#  format:  <location>.slope.[<user info>].gif 
# 
SLOPE_DATA= demo200.slope.gif 
# 
# Background data GIF 
#  format:   <location>.hillshade.[<user info>].gif 
# 
#BACKGROUND_DATA= demo200.hillshade.gif 
BACKGROUND_DATA= demo200.hillshade.water.gif 

# XI. OUTPUT IMAGES 
#   WRITE_COLOR_KEY_IMAGES: Creates image maps of each colortable. 
#                           File name format: 'key_[type]_COLORMAP' 
#                           where [type] represents the colortable. 
#   ECHO_IMAGE_FILES: Creates GIF of each input file used in that job. 
#                     File names format: 'echo_of_[input_filename]' 
#                     where [input_filename] represents the input name. 
#   ANIMATION: if whirlgif has been compiled, and the WHIRLGIF_BINARY 
#              path has been defined, animated gifs begining with the 
#              file name 'animated' will be created in PREDICT mode. 
WRITE_COLOR_KEY_IMAGES(YES/NO)=no
ECHO_IMAGE_FILES(YES/NO)=no
ANIMATION(YES/NO)= no

# XII. COLORTABLE SETTINGS 
#  A. DATE COLOR SETTING 
#     The date will automatically be placed in the lower left corner 
#     of output images. DATE_COLOR may be designated in with red, green, 
#     and blue values (format: <red_value, green_value, blue_value> ) 
#     or with hexadecimal begining with '0X' (format: <0X######> ). 
#default DATE_COLOR= 0XFFFFFF white 
DATE_COLOR=     0XFFFFFF #white 

#  B. URBAN (NON-LANDUSE) COLORTABLE SETTINGS 
#     1. URBAN MODE OUTPUTS 
#         TEST mode: Annual images of simulated urban growth will be 
#                    created using SEED_COLOR to indicate urbanized areas.

#         CALIBRATE mode: Images will not be created. 
#         PREDICT mode: Annual probability images of simulated urban 
#                       growth will be created using the PROBABILITY 
#                       _COLORTABLE. The initializing urban data will be 
#                       indicated by SEED_COLOR. 
# 
#     2. COLORTABLE SETTINGS 
#          SEED_COLOR: initializing and extrapolated historic urban extent

#          WATER_COLOR: BACKGROUND_DATA is used as a backdrop for
 
#                       simulated urban growth. If pixels in this file  
#                       contain the value zero (0), they will be filled 
#                       with the color value in WATER_COLOR. In this way, 
#                       major water bodies in a study area may be included 
#                       in output images. 
#SEED_COLOR= 0XFFFF00 #yellow 
SEED_COLOR=  249, 209, 110 #pale yellow 
#WATER_COLOR=  0X0000FF # blue 
WATER_COLOR=  20, 52, 214 # royal blue

#     3. PROBABILITY COLORTABLE FOR URBAN GROWTH 
#        For PREDICTION, annual probability images of urban growth 
#        will be created using the monte carlo iterations. In these 
#        images, the higher the value the more likely urbanizaion is. 
#        In order to interpret these 'continuous' values more easily 
#        they may be color classified by range. 
# 
#        If 'hex' is not present then the range is transparent. 
#        The transparent range must be the first on the list. 
#        The max number of entries is 100. 
#          PROBABILITY_COLOR: a color value in hexadecimal that indicates
#                             a probability range. 
#            low/upper: indicate the boundaries of the range. 
# 
#                  low,  upper,   hex,  (Optional Name) 
PROBABILITY_COLOR=   0,    1,         , #transparent 
PROBABILITY_COLOR=   1,    10, 0X00ff33, #green
PROBABILITY_COLOR=   10,   20, 0X00cc33, # 
PROBABILITY_COLOR=   20,   30, 0X009933, #
PROBABILITY_COLOR=   30,   40, 0X006666, #blue
PROBABILITY_COLOR=   40,   50, 0X003366, #
PROBABILITY_COLOR=   50,   60, 0X000066, # 
PROBABILITY_COLOR=   60,   70, 0XFF6A6A, #lt orange
PROBABILITY_COLOR=   70,   80, 0Xff7F00, #dark orange
PROBABILITY_COLOR=   80,   90, 0Xff3E96, #violetred
PROBABILITY_COLOR=   90,  100, 0Xff0033, #dark red 

#  C. LAND COVER COLORTABLE 
#  Land cover input images should be in grayscale GIF image format. 
#  The 'pix' value indicates a land class grayscale pixel value in 
#  the image. If desired, the model will create color classified 
#  land cover output. The output colortable is designated by the 
#  'hex/rgb' values. 
#    pix: input land class pixel value 
#    name: text string indicating land class 
#    flag: special case land classes 
#          URB - urban class (area is included in urban input data 
#                and will not be transitioned by deltatron) 
#          UNC - unclass (NODATA areas in image) 
#          EXC - excluded (land class will be ignored by deltatron) 
#    hex/rgb: hexidecimal or rgb (red, green, blue) output colors 
# 
#              pix, name,     flag,   hex/rgb, #comment 
LANDUSE_CLASS=  0,  Unclass , UNC   , 0X000000 
LANDUSE_CLASS=  1,  Urban   , URB   , 0X8b2323 #dark red
LANDUSE_CLASS=  2,  Agric   ,       , 0Xffec8b #pale yellow 
LANDUSE_CLASS=  3,  Range   ,       , 0Xee9a49 #tan 
LANDUSE_CLASS=  4,  Forest  ,       , 0X006400 
LANDUSE_CLASS=  5,  Water   , EXC   , 0X104e8b 
LANDUSE_CLASS=  6,  Wetland ,       , 0X483d8b 
LANDUSE_CLASS=  7,  Barren  ,       , 0Xeec591 

#  D. GROWTH TYPE IMAGE OUTPUT CONTROL AND COLORTABLE 
# 
#  From here you can control the output of the Z grid 
#  (urban growth) just after it is returned from the spr_spread() 
#  function. In this way it is possible to see the different types 
#  of growth that have occured for a particular growth cycle. 
# 
#  VIEW_GROWTH_TYPES(YES/NO) provides an on/off 
#  toggle to control whether the images are generated. 
# 
#  GROWTH_TYPE_PRINT_WINDOW provides a print window 
#  to control the amount of images created. 
#  format:  <start_run>,<end_run>,<start_monte_carlo>, 
#           <end_monte_carlo>,<start_year>,<end_year> 
#  for example: 
#  GROWTH_TYPE_PRINT_WINDOW=run1,run2,mc1,mc2,year1,year2 
#  so images are only created when 
#  run1<= current run <=run2 AND 
#  mc1 <= current monte carlo <= mc2 AND 
#  year1 <= currrent year <= year2 
# 
#  0 == first 
VIEW_GROWTH_TYPES(YES/NO)=NO 
GROWTH_TYPE_PRINT_WINDOW=0,0,0,0,1995,2020 
PHASE0G_GROWTH_COLOR=  0xff0000 # seed urban area 
PHASE1G_GROWTH_COLOR=  0X00ff00 # diffusion growth 
PHASE2G_GROWTH_COLOR=  0X0000ff # NOT USED 
PHASE3G_GROWTH_COLOR=  0Xffff00 # breed growth 
PHASE4G_GROWTH_COLOR=  0Xffffff # spread growth 
PHASE5G_GROWTH_COLOR=  0X00ffff # road influenced growth 

#************************************************************ 
# 
#  E. DELTATRON AGING SECTION 
# 
#  From here you can control the output of the deltatron grid 
#  just before they are aged 
# 
#  VIEW_DELTATRON_AGING(YES/NO) provides an on/off 
#  toggle to control whether the images are generated. 
# 
#  DELTATRON_PRINT_WINDOW provides a print window 
#  to control the amount of images created. 
#  format:  <start_run>,<end_run>,<start_monte_carlo>, 
#           <end_monte_carlo>,<start_year>,<end_year> 
#  for example: 
#  DELTATRON_PRINT_WINDOW=run1,run2,mc1,mc2,year1,year2 
#  so images are only created when 
#  run1<= current run <=run2 AND 
#  mc1 <= current monte carlo <= mc2 AND 
#  year1 <= currrent year <= year2 
# 
#  0 == first 
VIEW_DELTATRON_AGING(YES/NO)=NO 
DELTATRON_PRINT_WINDOW=0,0,0,0,1930,2020 
DELTATRON_COLOR=  0x000000 # index 0 No or dead deltatron 
DELTATRON_COLOR=  0X00FF00 # index 1 age = 1 year 
DELTATRON_COLOR=  0X00D200 # index 2 age = 2 year 
DELTATRON_COLOR=  0X00AA00 # index 3 age = 3 year 
DELTATRON_COLOR=  0X008200 # index 4 age = 4 year 
DELTATRON_COLOR=  0X005A00 # index 5 age = 5 year 

# XIII. SELF-MODIFICATION PARAMETERS 
#       SLEUTH is a self-modifying cellular automata. For more  
#       information see our PROJECT GIGALOPOLIS web site
#       (www.ncgia.ucsb.edu/project/gig/About/abGrowth.htm) 
#       and publications (and/or grep 'self modification' in code). 
ROAD_GRAV_SENSITIVITY=0.01 
SLOPE_SENSITIVITY=0.1 
CRITICAL_LOW=0.97 
CRITICAL_HIGH=1.3 
#CRITICAL_LOW=0.0 
#CRITICAL_HIGH=10000000000000.0 
CRITICAL_SLOPE=15.0 
BOOM=1.01 
BUST=0.09