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RandomSingleFlow.py
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145 lines (143 loc) · 5.85 KB
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# -*- coding: utf-8 -*-
"""
Created on Thu Feb 20 13:11:54 2020
@author: cscheidl
"""
class MonteCarloSingleFlowPath():
def __init__(self,raster,band2,position,temp_height):
self.startrastercells=band2
self.dem=raster
self.startcell=position
self.artificalheight=temp_height
#self.articficalrasterheight=band2
def NextStartCell(self):
import numpy as np
rowPosition = self.startcell[0]
colPosition = self.startcell[1]
#self.startrastercells[rowPosition,colPosition]=True
# Adjacent cells positions
adjacentBelow = rowPosition + 1
adjacentUpper = rowPosition - 1
adjacentLeft = colPosition - 1
adjacentRight = colPosition + 1
# Check if adjacent cells positions are out of raster positions limits
if adjacentBelow < self.dem.height:
if self.startrastercells[adjacentBelow,colPosition]==False:
belowBound = True
else:
belowBound=False
else:
belowBound = False
if adjacentUpper >0:
if self.startrastercells[adjacentUpper,colPosition]==False:
upperBound = True
else:
upperBound = False
else:
upperBound = False
if adjacentLeft >0:
if self.startrastercells[rowPosition,adjacentLeft]==False:
leftBound = True
else:
leftBound = False
else:
leftBound = False
if adjacentRight < self.dem.width:
if self.startrastercells[rowPosition,adjacentRight]==False:
rightBound = True
else:
rightBound = False
else:
rightBound = False
if upperBound==True :
diff1=self.dem.read(1)[rowPosition,colPosition] - self.dem.read(1)[adjacentUpper,colPosition]
if (diff1+self.artificalheight)<=0: #or belowBound==False or leftBound==False or rightBound==False:
diff1=0
position1=[0,0]
else:
position1=[adjacentUpper,colPosition]
if diff1<0:
diff1=diff1 + self.artificalheight
else:
diff1=diff1
else:
diff1=0
position1=[0,0]
if rightBound==True :
diff2=self.dem.read(1)[rowPosition,colPosition] - self.dem.read(1)[rowPosition,adjacentRight]
if (diff2+self.artificalheight)<=0: #or belowBound==False or leftBound==False or rightBound==False:
diff2=0
position2=[0,0]
else:
position2=[rowPosition,adjacentRight]
if diff2<0:
diff2=diff2 + self.artificalheight
else:
diff2=diff2
else:
diff2=0
position2=[0,0]
if belowBound==True:
diff3=self.dem.read(1)[rowPosition,colPosition] - self.dem.read(1)[adjacentBelow,colPosition]
if (diff3+self.artificalheight)<=0: #or belowBound==False or leftBound==False or rightBound==False:
diff3=0
position3=[0,0]
else:
position3=[adjacentBelow,colPosition]
if diff3<0:
diff3=diff3 + self.artificalheight
else:
diff3=diff3
else:
diff3=0
position3=[0,0]
if leftBound==True :
diff4=self.dem.read(1)[rowPosition,colPosition] - self.dem.read(1)[rowPosition,adjacentLeft]
if (diff4+self.artificalheight)<=0: #or belowBound==False or leftBound==False or rightBound==False:
diff4=0
position4=[0,0]
else:
position4=[rowPosition,adjacentLeft]
if diff4<0:
diff4=diff4 + self.artificalheight
else:
diff4=diff4
else:
diff4=0
position4=[0,0]
summe=diff1+diff2+diff3+diff4
#print(summe)
if summe==0:
newcell=[0,0]
#print('MIST!')
else:
valid_positions = []
valid_probabilities = []
if diff1 > 0:
valid_positions.append(position1)
valid_probabilities.append(diff1 / summe)
if diff2 > 0:
valid_positions.append(position2)
valid_probabilities.append(diff2 / summe)
if diff3 > 0:
valid_positions.append(position3)
valid_probabilities.append(diff3 / summe)
if diff4 > 0:
valid_positions.append(position4)
valid_probabilities.append(diff4 / summe)
# Normiere die Wahrscheinlichkeiten, um Rundungsfehler zu vermeiden
valid_probabilities = np.array(valid_probabilities)
valid_probabilities /= valid_probabilities.sum()
# Konvertiere die Liste der gültigen Positionen in ein numpy-Array
allpos = np.array(valid_positions)
if len(allpos) > 0: # Überprüfe, ob es gültige Zellen gibt
newcell = allpos[np.random.choice(len(allpos), size=None, replace=True, p=valid_probabilities)]
else:
newcell = [0, 0] # Fallback, falls keine gültigen Zellen vorhanden sind
#prob=(diff1/summe,diff2/summe,diff3/summe,diff4/summe,0)
#print(prob)
#allpos=np.array([position1,position2,position3,position4,[0,0]])
#print(allpos)
#newcell = np.random.choice(len(allpos), size=None, replace=True, p=prob)
#newcell=np.random.choice(allpos, size=None, replace=True, p=prob)
return newcell