dtrobins_630_SOME_model/630_SOME_model.nlogo
breed [ residents resident ]  ;; create residents breed
breed [ services service ]    ;; create service breed
breed [ circles circle ]      ;; create service shade

residents-own [rnum cluster alphaq alphas alphac utility]                         ;; residents' variables
patches-own [quality sddist comfort ltype]                                        ;; landscape variables
globals [counter selx sely residentsperstep residentsperservice]  ;; global variables



;; THIS IS THE SETUP STEP
;;----- Calls processes that set up the initial service center and the patches.

to SETUP

  clear-all

  ;; set up the initial variable values
  reset-ticks
  setup-service
  setup-patches
  set residentsperstep 10
  set residentsperservice 100
  set-default-shape circles "box"

end

;; This is the to go step
to go
  locate-resident   ;; locate residents
  ;; if the number of residents in a service center's service shade, locate another service center
  if counter > residentsperservice
    [
      locate-service
      set counter 0
    ]
  ;; if the total number of residents is over 3420, stop the model
  if count residents >= 3420
  [

    stop
  ]

  tick

end

;; set up the initial variable values when doing the iteration
to initial-clearup
  clear-all-plots
  clear-drawing
  clear-links
  clear-output
  clear-patches
  clear-plot
  clear-ticks
  clear-turtles
  set counter 0
  set selx 0
  set sely 0
  set residentsperstep 0
  set residentsperservice 0
end


;;----- Create initial service center in the middle
to setup-service
    create-services 1
    ask services
        [
        set color red
        set shape "box"
        ]
end

;;----- Assign and scale initial values of aesthetic quality and distance to services
to setup-patches
  ;; Create an empty list to store landscape quality values acquired from the txt file
  let patch-qualities []

  ;; Store the landscape quality value from txt file to the empty list
  file-open "151aesth.txt"
  while [not file-at-end?]
  [
    set patch-qualities lput file-read patch-qualities
  ]
  file-close

  ;; Populating the list
  (foreach sort patches patch-qualities [ [the-patch the-quality] ->
    ask the-patch [set quality (the-quality / 8191)]
  ])

  ask patches [set ltype 0]

  repeat smoothness [diffuse quality 1]
  ;; set up the service center's service shade
  ask patches
  [
    set sddist min [distance myself] of services
    set pcolor scale-color green quality (0)(1)
    if (distancexy 0 0) < radius + 0.5 and (distancexy 0 0) > radius - 0.5
    [set pcolor yellow]
  ]
end



;; THIS SECTION LOCATES RESIDENTS
;;----- This counts incoming residents, calls a routine to locate them, than upates aesthetic quality
to locate-resident
        repeat residentsperstep
    [
        create-residents 1
        set counter ( counter + 1 )
        ask max-one-of residents [who]
            [
            set color 114  ;;; violet
            set shape "box"

            set-alphas              ;;; determine preferences
            evaluate                ;;; select location
            ask patch-here [set ltype 1]
            if ( luab? = true )     ;;; reduce aesthetic quality if luab? is switched on
                 [
                 ask patch-here [ set quality ( quality * 0.75 ) ]
                 ask neighbors [ set quality ( quality * 0.9 ) ]
                 ask neighbors4 [ set quality ( quality * 0.9 ) ]
                 set pcolor scale-color green quality ( 0.1 * ( max-pxcor * 1.414 ) ) ( 0.9 * ( max-pxcor * 1.414 ) )
                 ask neighbors
                     [
                     set pcolor scale-color green quality
                     ( 0.1 * ( max-pxcor * 1.414 ) )
                     ( 0.9 * ( max-pxcor * 1.414 ) )
                     ]
                 ]
            ]
    ]
end

;;----- Set alpha values, alternative procedures could be used here (based on different experiment settings)
to set-alphas
  set alphas (random-normal 0.536 0.244)
  while [alphas < 0 or alphas > 1] [set alphas (random-normal 0.536 0.244)]
  set alphaq (random-normal 0.532 0.261)
  while [alphaq < 0 or alphaq > 1] [set alphaq (random-normal 0.532 0.261)]
  set alphac (random-normal 0.494 0.248) ;; control_file: alphaT = normal,0.494,0.248
  while [alphac < 0 or alphac > 1] [set alphac (random-normal 0.494 0.248)]

  let total_alpha (alphas + alphaq + alphac)
  set alphas (alphas / total_alpha)
  set alphaq (alphaq / total_alpha)
  set alphac (alphac / total_alpha)
end

;; Set the neighborhood similarity values
to set-comfort [canx cany]
  let n 8
  let total 0
  ask patch canx cany[set comfort 0.5]

  let ix -1
  let iy -1

  while [ix < 2] [
    while [iy < 2] [
      ;; exclude the center patch
      if (ix = 0) and (iy = 0) [
        set iy iy + 1
      ]

      ;; figure out the exact place
      let temp_x canx + ix
      let temp_y cany + iy

      ;; if the result is off the world its like its empty
      ifelse (temp_x < -75) or (temp_x > 75) or (temp_y < -75) or (temp_y > 75) [ set total total + 0.5 ] [
        ifelse ((count residents with [xcor = temp_x and ycor = temp_y]) > 0) [ ;; calculte the lamda value
          set total (total + sqrt ( ( ((alphaq - ([alphaq] of (one-of residents with [xcor = temp_x and ycor = temp_y]))) ^ 2 ) + ((alphas - ([alphas] of (one-of residents with [xcor = temp_x and ycor = temp_y]))) ^ 2 ) + ((alphac - ([alphac] of (one-of residents with [xcor = temp_x and ycor = temp_y]))) ^ 2 )) / 3 ) ) ]
        [ set total total + 0.5 ]
      ]

      set iy iy + 1
    ]

    set ix ix + 1
  ]

  if total != 0
    [
      ask patch canx cany[
        set comfort (total / n)
        ]
    ]
    ;;]
end

;;----- Randomly select sites, compare utility to resident, and select and move to the best one.
to evaluate
  let xlist 0
  let canx 0
  let ylist 0
  let cany 0
  let util-list 0

    repeat numtests
        [
        ask one-of patches
            [
            set canx [pxcor] of patch-at 0 0
            set cany [pycor] of patch-at 0 0
            ]
                    set-comfort canx cany
        if ( ( count turtles-at canx cany ) = 0 )
            [
            set xlist ( sentence xlist canx )
            set ylist ( sentence ylist cany )
            set util-list (sentence util-list (( ( 1 - abs( 1 - ( 1 / [ sddist ] of ( patch canx cany ) ) )) ^ alphas ) *
                 ( (1 - abs (1 - ( [ quality ] of (patch canx cany ))) ) ^ alphaq )  *   (( 1 - abs(0 - ( [comfort] of ( patch canx cany ) ) )) ^ alphac)))            ]
        ]
     set selx item ( position ( max util-list ) util-list ) xlist
     set sely item ( position ( max util-list ) util-list ) ylist
     setxy selx sely
     set utility item ( position ( max util-list ) util-list ) util-list
end

;;----- Start at last resident and move out in a random direction, selecting the first available site.
to locate-service
    create-services 1
    ask max-one-of services [who]
        [
        set color red
        set shape "box"
        setxy selx sely
        while [ any? other turtles-here ]
             [
             rt ( random 360 )
             fd 1
             ]
        if ( luab? = true )     ;;; reduce aesthetic quality if luab? is switched on
               [
               ask patch-here [ set quality ( quality * 0.75 ) ]
               ask neighbors [ set quality ( quality * 0.9 ) ]
               ask neighbors4 [ set quality ( quality * 0.9 ) ]
               set pcolor scale-color green quality ( 0.1 * ( max-pxcor * 1.414 ) ) ( 0.9 * ( max-pxcor * 1.414 ) )
               ask neighbors
                      [
                      set pcolor scale-color green quality
                      ( 0.1 * ( max-pxcor * 1.414 ) )
                      ( 0.9 * ( max-pxcor * 1.414 ) )
                      ]
              ]
        ask patch-here [set ltype 1]
         ]
    ask patches
        [ set sddist min [distance myself] of services ]
 end

;; Basic statistics
to do-plots
   set-current-plot "Development Beyond Radius"
   plot count residents with
     [ ( distancexy 0 0 ) >= radius ]
end

;; Set some basic statistics variables for analysis
to-report mru
  report mean [utility] of residents
end

to-report vru
  report variance [utility] of residents
end

to-report dor
  report count residents with [(distancexy 0 0) > radius]
end

to-report gini
  let totaly sum [utility] of residents
  let x 1 / count residents
  let y 0
  let yc 0
  let yclast 0
  let ysum 0
  let ab 0
  let tsum 0
  foreach sort-on [utility] residents
  [
    the-resident -> ask the-resident
  [set y utility
   set yc yc + y / totaly
   set ysum yc + yclast
   set ab ysum * x
   set tsum tsum + ab
   set yclast yc
  ]
  ]
  report abs(1 - tsum)
end
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<experiments>
  <experiment name="TestExperiment1" repetitions="1000" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <exitCondition>count residents &gt;= 3420</exitCondition>
    <metric>mru</metric>
    <metric>vru</metric>
    <metric>dor</metric>
    <metric>gini</metric>
    <metric>mru1</metric>
    <metric>mru2</metric>
    <metric>mru3</metric>
    <metric>mru4</metric>
    <metric>mru5</metric>
    <metric>mru6</metric>
    <metric>mru7</metric>
    <metric>vru1</metric>
    <metric>vru2</metric>
    <metric>vru3</metric>
    <metric>vru4</metric>
    <metric>vru5</metric>
    <metric>vru6</metric>
    <metric>vru7</metric>
    <metric>por1</metric>
    <metric>por2</metric>
    <metric>por3</metric>
    <metric>por4</metric>
    <metric>por5</metric>
    <metric>por6</metric>
    <metric>por7</metric>
    <metric>gini1</metric>
    <metric>gini2</metric>
    <metric>gini3</metric>
    <metric>gini4</metric>
    <metric>gini5</metric>
    <metric>gini6</metric>
    <metric>gini7</metric>
    <metric>even1</metric>
    <metric>even2</metric>
    <metric>even3</metric>
    <metric>even4</metric>
    <metric>even5</metric>
    <metric>even6</metric>
    <metric>even7</metric>
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    <enumeratedValueSet variable="numtests">
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    <enumeratedValueSet variable="luab?">
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</experiments>
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