Sugarscape Seasonal Migration

Sugarscape Seasonal Migration preview image

This model is seeking new collaborators — would you please help?

1 collaborator

Tags

migration 

Tagged by Didier Ruedin about 1 year ago

seasonal migrationb 

Tagged by Diego Díaz Córdova over 1 year ago

sugarscape 

Tagged by Diego Díaz Córdova over 1 year ago

Visible to everyone | Changeable by everyone
Model was written in NetLogo 6.1.1 • Viewed 248 times • Downloaded 23 times • Run 0 times
Download the 'Sugarscape Seasonal Migration' modelDownload this modelEmbed this model

Do you have questions or comments about this model? Ask them here! (You'll first need to log in.)


Info tab cannot be displayed because of an encoding error

Comments and Questions

error in modelin commons not in netlogo desktop

when I run this model in netlogo desktop, it all fine, but here in modelingcommons it launchs an error "ITEM expected this input to be a string or list, but got a number instead", I don't understand if it is modelingcommons' problem or something is wrong with the code (but in desktop it runs with any problem)

Posted over 1 year ago

Maybe it's a bug, try this.. (Question)

let row-i matrix:get-row m i ask patches with [pxcor = i and pycor = j] [set max-psugar item rowx row-i

Posted over 1 year ago

you're right!!!

you are a genious!!! thank you so so so so much!!! now it works!!! thank you Hendra!

Posted over 1 year ago

Click to Run Model

extensions [matrix]
globals [
  gini-index-reserve
  lorenz-points
  winter? ;;variable para el invierno
  duraciontotal ;; duracion del invierno
]
;; posibles agregados: enfermedades contagiosas, prediposición a enfermarse tomando en cuenta un metabolismo que no es satisfecha
;; ECT diabetes, prediabetes, normal -> tortugas profesionales de la salud; distribución de recursos y herencia
;; azucar limitar los recursos; azucar contaminada
;; accidentes; azucar se contamine siempre y cuando haya muchas tortugas alrededor
;; cuando la tortuga consume azucar genera deshecho
turtles-own [
  sugar           ;; the amount of sugar this turtle has
  metabolism      ;; the amount of sugar that each turtles loses each tick
  vision          ;; the distance that this turtle can see in the horizontal and vertical directions
  vision-points   ;; the points that this turtle can see in relative to it's current position (based on vision)
  age             ;; the current age of this turtle (in ticks)
  max-age         ;; the age at which this turtle will die of natural causes
]

patches-own [
  psugar           ;; the amount of sugar on this patch
  max-psugar       ;; the maximum amount of sugar that can be on this patch
]

;;
;; Setup Procedures
;;

to setup
  if maximum-sugar-endowment <= minimum-sugar-endowment [
    user-message "Oops: the maximum-sugar-endowment must be larger than the minimum-sugar-endowment"
    stop
  ]
  clear-all
  create-turtles initial-population [ turtle-setup ]
  setup-patches


  update-lorenz-and-gini
  set winter? true ;;indica si es true que hay invierno en el hemisferio norte (y verano en el sur)
  set duraciontotal 40 ;;indica cuantos ticks dura el invierno/verano
  reset-ticks
end 

to turtle-setup ;; turtle procedure
  set color red
  set shape "turtle"
  ;move-to one-of patches with [not any? other turtles-here]
  set sugar random-in-range minimum-sugar-endowment maximum-sugar-endowment
  set metabolism random-in-range 1 4
  set max-age random-in-range 60 100
  set age 0
  set vision random-in-range 1 10
  ;; turtles can look horizontally and vertically up to vision patches
  ;; but cannot look diagonally at all
  set vision-points []
  foreach (range 1 (vision + 1)) [ n ->
    set vision-points sentence vision-points (list (list 0 n) (list n 0) (list 0 (- n)) (list (- n) 0))
  ]
  move-to one-of patches with [(pxcor < 15 and pycor >= 0) and (pxcor < 15 and pycor < 15)]
  ;[(pxcor < 21 and pycor > 9) and (pxcor > 9 and pycor < 21)]
  run visualization
end 

to setup-patches
let m matrix:from-row-list [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 2 2 2 2 2 2 2 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 3 3 3 3 3 3 3 2 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4 3 3 3 3 3 3 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3]
[0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3]
[0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3]
[0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3]
[0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3]
[0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3]
[0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 2]
[0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 3 3 3 3 3 3 2]
[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 4 4 4 4 3 3 3 3 3 3 3 2 2]
[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2]
[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2]
[1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2]
[1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2]
[1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2]
[1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1]
[1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1]
[1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1]
[1 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1]
[1 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1]
[2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1]
[2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1]
[2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
[2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 0 0 0]
[2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0]
[2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0]
[2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0]
[2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0]
[2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0]
[2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 2 2 2 2 2 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0]
[2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 2 2 2 2 2 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0]
[2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 2 2 2 2 2 2 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0]
[2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4 3 3 3 3 3 3 2 2 2 2 2 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0]
[2 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 4 3 3 3 3 3 3 3 2 2 2 2 2 2 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0]
[2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0]
[2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0]
[1 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0]
[1 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0]
[1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0]
[1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]]
  let i 0
  let j 0
  ;let m1 matrix:transpose m
  ;; let row-i matrix:get-row m i ask patches with [pxcor = i and pycor = j]
  ;[set max-psugar item rowx row-i
  let rowx 49
  repeat 50 [ repeat 50
              [let row-i matrix:get-row m i ask patches with [pxcor = i and pycor = j]
                 [set max-psugar item rowx row-i
                ;ask patches with [pxcor = i and pycor = j] [set max-psugar item rowx (matrix:get-row m i)
                set psugar max-psugar
                patch-recolor
                ]
               set rowx rowx - 1
               set j j + 1
              ]
    set i i + 1
    set j 0
  set rowx 49]

  ;ask patches [patch-recolor]
  ;file-open "sugar-map.txt"
  ;foreach sort patches [ p ->
  ;  ask p [
  ;    set max-psugar file-read
  ;    set psugar max-psugar
  ;    patch-recolor
  ;  ]
  ;]
  ;file-close
end 

;;
;; Runtime Procedures
;;

to go
  if not any? turtles [
    stop
  ]
  ask patches [
    ;pregunto si hay invierno
    ifelse (estaciones? = true)
    [
     ifelse (winter? = true)
     [ifelse (pxcor + 48 = pycor * -1) or (pxcor * -1 + 48 = pycor) and (pxcor > pycor * -1 + 48) or (pxcor * -1 + 48 > pycor)
       [patch-growbackwinter]
       [patch-growback]
     ]
     [ifelse (pxcor + 48 = pycor * -1) or (pxcor * -1 + 48 = pycor) and (pxcor > pycor * -1 + 48) or (pxcor * -1 + 48 > pycor)
       [patch-growback]
       [patch-growbackwinter]
     ]

    ]
     [patch-growbacknormal
    ]
    patch-recolor
  ]
  ask turtles [
    turtle-move
    turtle-eat
    set age (age + 1)
    if sugar <= 0 ;or age > max-age
    [
      ;hatch 1 [ turtle-setup ]
      die
    ]
    run visualization
  ]
  update-lorenz-and-gini
  ;;invierno y verano

  if (ticks mod duraciontotal = 0)
     [ifelse (winter? = true)
        [set winter? false]
        [set winter? true]
     ]

  tick
end 

to turtle-move ;; turtle procedure
  ;; consider moving to unoccupied patches in our vision, as well as staying at the current patch
  let move-candidates (patch-set patch-here (patches at-points vision-points) with [not any? turtles-here])
  let possible-winners move-candidates with-max [psugar]
  if any? possible-winners [
    ;; if there are any such patches move to one of the patches that is closest
    move-to min-one-of possible-winners [distance myself]
  ]
end 

to turtle-eat ;; turtle procedure
  ;; metabolize some sugar, and eat all the sugar on the current patch
  set sugar (sugar - metabolism + psugar)
  set psugar 0
end 

to patch-recolor ;; patch procedure
  ;; color patches based on the amount of sugar they have
  if psugar < 0
  [set psugar 0]
  set pcolor (yellow + 4.9 - psugar)
end 

to patch-growbacknormal ;; patch procedure
  ;; gradually grow back all of the sugar for the patch, en el original decía 1 en vez de 0.5
  set psugar min (list max-psugar (psugar + 0.5))
end 

to patch-growback ;; patch procedure
  ;; gradually grow back all of the sugar for the patch
  set psugar min (list max-psugar (psugar + 1))
end 
;;agrego crecimiento invernal

to patch-growbackwinter ;; patch procedure
  ;; gradually grow back all of the sugar for the patch
  set psugar min (list max-psugar (psugar + (1 / 8)))
end 

to update-lorenz-and-gini
  let num-people count turtles
  let sorted-wealths sort [sugar] of turtles
  let total-wealth sum sorted-wealths
  let wealth-sum-so-far 0
  let index 0
  set gini-index-reserve 0
  set lorenz-points []
  repeat num-people [
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
    set lorenz-points lput ((wealth-sum-so-far / total-wealth) * 100) lorenz-points
    set index (index + 1)
    set gini-index-reserve
      gini-index-reserve +
      (index / num-people) -
      (wealth-sum-so-far / total-wealth)
  ]
end 

;;
;; Utilities
;;

to-report random-in-range [low high]
  report low + random (high - low + 1)
end 

;;
;; Visualization Procedures
;;

to no-visualization ;; turtle procedure
  set color red
end 

to color-agents-by-vision ;; turtle procedure
  set color red - (vision - 3.5)
end 

to color-agents-by-metabolism ;; turtle procedure
  set color red + (metabolism - 2.5)
end 


; Copyright 2009 Uri Wilensky.
; See Info tab for full copyright and license.

There are 5 versions of this model.

Uploaded by When Description Download
Diego Díaz Córdova over 1 year ago bug fixed? Download this version
Diego Díaz Córdova over 1 year ago bug fixed 3 Download this version
Diego Díaz Córdova over 1 year ago bug fixed 2 Download this version
Diego Díaz Córdova over 1 year ago bug fixed Download this version
Diego Díaz Córdova over 1 year ago Initial upload Download this version

Attached files

File Type Description Last updated
Sugarscape Seasonal Migration.png preview Preview for 'Sugarscape Seasonal Migration' over 1 year ago, by Diego Díaz Córdova Download

This model does not have any ancestors.

Children:

Graph of models related to 'Sugarscape Seasonal Migration'