Filter Small

Summary

Screenshot

Download Model

Download the .scn, .sel and .lse files by clicking on the following link: File:FilterSmall.zip

Model Code Exploration

In the following sections we will examine all of the model files for this model. Note that instead of downloading the zip file above, you could just copy the text in the boxes below into a text editor and save it with the appropriate name (Section title). Opening the resulting .scn file in the SELES simulator would run this model.

FilterSmall.scn

SELES Scenario
$gisData$ = ..\..\CaseStudy\gisData\cell
PatchLayer = $gisData$\Old_bF
Model Dimensions: PatchLayer
filterSmall.sel
sizeThreshold = 100

FilterSmall.sel

Seles Model
Time Units: Step KiloStep 1000 2
Landscape Events:
  findSmall.lse
  deleteSmall.lse
Spatial Constants:
  PatchLayer
Spatial Variables:
  FilteredPatchLayer[1] <= 0
  Visited[2] <= 0
Global Variables:
  //  Size threshold (in cells)
  sizeThreshold = 100
  numFilteredPatches = 0
  numFilteredCells = 0
  numUnfilteredPatches = 0
  numUnfilteredCells = 0
  PatchType = 1
Output Frequency: 1

FilterSmall.lse

// Find small patches out of a layer
LSEVENT: FindSmall
DEFINITIONS
  GLOBAL VARIABLE: PatchType
  LAYER: PatchLayer, FilteredPatchLayer, Visited 
  GLOBAL VARIABLE: sizeThreshold
  GLOBAL VARIABLE: numUnfilteredPatches, numUnfilteredCells   
  CLUSTER VARIABLE: currPatchSize
  LOCAL: cps
ENDDEF
INITIALSTATE
  FilteredPatchLayer = IF (PatchLayer EQ PatchType) THEN 1 ELSE 0
  INITIALSTATE = 1
ENDIS
RETURNTIME = 0
PROBINIT
  PROBINIT = (FilteredPatchLayer EQ 1) AND (Visited EQ 0) 
  currPatchSize = 0
  numUnfilteredPatches = numUnfilteredPatches + (Visited EQ 0)
  numUnfilteredCells = numUnfilteredCells + 1
  cps = 0
ENDPI
TRANSITIONS
  TRANSITIONS = (Visited EQ 0) AND (FilteredPatchLayer EQ 1)
  Visited = 1
  currPatchSize = currPatchSize + 1
cps = currPatchSize
ENDTR
SPREADLOCATION
  REGION CENTRED(1, 1.5)
     DECISION (Visited EQ 0) AND (FilteredPatchLayer EQ 1)
ENDSL
SPREADTIME = -1
ENDCLUSTER
  IF (0 < cps < sizeThreshold)
     Visited = 2
  ENDFN
 ENDCLUSTER = 1
ENDEC

Suggested Experiments

To explore this cellular automata model further, try the following: