def execute_CreateZone(r_flowdir, str_lakes, r_slope, minslope, str_frompoint,
distance, bufferw, str_zonesfolder, messages):
str_segments = str_zonesfolder + "\\segments"
str_linesegments = str_zonesfolder + "\\line_segments.shp"
str_bufferedsegments = str_zonesfolder + "\\buff_segments.shp"
save_sourcepoints = str_zonesfolder + "\\sourcepoints.shp"
str_r_lakes = str_zonesfolder + "\\r_lakes"
flowdir = RasterIO(r_flowdir)
if r_slope is not None:
slope = RasterIO(r_slope)
try:
flowdir.checkMatch(slope)
except Exception as e:
messages.addErrorMessage(e.message)
else:
slope = None
# Conversion des lacs en raster et copie
arcpy.env.snapRaster = flowdir.raster
arcpy.env.outputCoordinateSystem = flowdir.raster.spatialReference
arcpy.env.extent = flowdir.raster
arcpy.PolygonToRaster_conversion(str_lakes,
arcpy.Describe(str_lakes).OIDFieldName,
str_r_lakes,
cellsize=flowdir.raster)
lakes = RasterIO(arcpy.Raster(str_r_lakes))
arcpy.CopyFeatures_management(str_lakes, str_zonesfolder + "\\lakes.shp")
str_lakes = str_zonesfolder + "\\lakes.shp"
arcpy.AddGeometryAttributes_management(str_lakes, "EXTENT")
### Début du traitement perrmettant d'identifier les segments (sous forme de raster) ###
raster_segments = RasterIO(r_flowdir, str_segments, int, -255)
# numérotation des segments
segnumber = 0
lakes_bci = {}
toclip = {}
inputpoints = {}
# Pour chaque point de départ
frompointcursor = arcpy.da.SearchCursor(str_frompoint, ["SHAPE@", "OID@"])
for frompoint in frompointcursor:
# On prend l'objet géométrique (le point) associé à la ligne dans la table
frompointshape = frompoint[0].firstPoint
# Nouvelle rivière : on change de segment
segnumber += 1
# Conversion des coordonnées
currentcol = flowdir.XtoCol(frompointshape.X)
currentrow = flowdir.YtoRow(frompointshape.Y)
# Tests de sécurité pour s'assurer que le point de départ est à l'intérieurs des rasters
intheraster = True
if currentcol < 0 or currentcol >= flowdir.raster.width or currentrow < 0 or currentrow >= flowdir.raster.height:
intheraster = False
elif (flowdir.getValue(currentrow, currentcol) != 1
and flowdir.getValue(currentrow, currentcol) != 2
and flowdir.getValue(currentrow, currentcol) != 4
and flowdir.getValue(currentrow, currentcol) != 8
and flowdir.getValue(currentrow, currentcol) != 16
and flowdir.getValue(currentrow, currentcol) != 32
and flowdir.getValue(currentrow, currentcol) != 64
and flowdir.getValue(currentrow, currentcol) != 128):
intheraster = False
listpointsflowpath = []
totaldistance = 0
currentdistance = 0
inlake = True
# True si la rivière (depuis le point de départ jusqu'au confluent) est composée d'au moins deux segments
dividedriver = False
# listtomerged contient la liste des segments trop courts, qui doivent être fusionnés avec segment précédent
listtomerged = []
# Pour chaque cellule en suivant l'écoulement
while (intheraster):
waslake = inlake
inlake = False
lakevalue = lakes.getValue(currentrow, currentcol)
inlake = (lakevalue != lakes.nodata)
if not (inlake and waslake):
# Distance parcourue depuis le début du segment
totaldistance = totaldistance + currentdistance
slope_criteria = True
if slope is not None:
slope_criteria = slope.getValue(currentrow,
currentcol) > minslope
# Test si on arrive à un lac
if inlake and not waslake:
# Segment trop court si de longueur inférieure à 30% de la distance voullue
# Le segment doit être alors fusionné avec le segment précédent (qui existe uniquement si dividedriver = True)
# ajout de l'info de clipper ensuite également
coordX = flowdir.ColtoX(currentcol)
coordY = flowdir.RowtoY(currentrow)
fieldidlakes = arcpy.Describe(str_lakes).OIDFieldName
shplakes = arcpy.da.SearchCursor(str_lakes, [
"SHAPE@", "EXT_MIN_X", "EXT_MAX_X", "EXT_MIN_Y",
"EXT_MAX_Y", fieldidlakes
])
for shplake in shplakes:
if shplake[0].contains(arcpy.Point(coordX, coordY)):
lakes_bci[segnumber] = shplakes[5]
distXmin = abs(coordX - shplake[1])
distXmax = abs(coordX - shplake[2])
distYmin = abs(coordY - shplake[3])
distYmax = abs(coordY - shplake[4])
mini = min(distXmin, distXmax, distYmin, distYmax)
if mini == distXmin:
toclip[segnumber] = ["Xmax", shplake[1]]
messages.addMessage(
str(segnumber) + " Xmax " + str(shplake[1]))
if mini == distXmax:
toclip[segnumber] = ["Xmin", shplake[2]]
messages.addMessage(
str(segnumber) + " Xmin " + str(shplake[2]))
if mini == distYmin:
toclip[segnumber] = ["Ymax", shplake[3]]
messages.addMessage(
str(segnumber) + " Ymax " + str(shplake[3]))
if mini == distYmax:
toclip[segnumber] = ["Ymin", shplake[4]]
messages.addMessage(
str(segnumber) + " Ymin " + str(shplake[4]))
if totaldistance < 0.3 * distance and dividedriver:
if segnumber in toclip:
toclip[segnumber - 1] = toclip.pop(segnumber)
listtomerged.append(segnumber)
totaldistance = 0
segnumber += 1
dividedriver = False
elif totaldistance > distance and slope_criteria:
# Test si on a parcouru la distance voullue
totaldistance = 0
segnumber += 1
dividedriver = True
if not inlake:
# On conseerve une liste des points traités, avec leur numéro de segment
currentpoint = pointflowpath()
currentpoint.row = currentrow
currentpoint.col = currentcol
currentpoint.X = flowdir.ColtoX(currentcol)
currentpoint.Y = flowdir.RowtoY(currentrow)
currentpoint.distance = totaldistance
currentpoint.segnumber = segnumber
currentpoint.frompointid = frompoint[1]
listpointsflowpath.append(currentpoint)
# On cherche le prochain point à partir du flow direction
direction = flowdir.getValue(currentrow, currentcol)
if (direction == 1):
currentcol = currentcol + 1
currentdistance = flowdir.raster.meanCellWidth
if (direction == 2):
currentcol = currentcol + 1
currentrow = currentrow + 1
currentdistance = math.sqrt(flowdir.raster.meanCellWidth *
flowdir.raster.meanCellWidth +
flowdir.raster.meanCellHeight *
flowdir.raster.meanCellHeight)
if (direction == 4):
currentrow = currentrow + 1
currentdistance = flowdir.raster.meanCellHeight
if (direction == 8):
currentcol = currentcol - 1
currentrow = currentrow + 1
currentdistance = math.sqrt(flowdir.raster.meanCellWidth *
flowdir.raster.meanCellWidth +
flowdir.raster.meanCellHeight *
flowdir.raster.meanCellHeight)
if (direction == 16):
currentcol = currentcol - 1
currentdistance = flowdir.raster.meanCellWidth
if (direction == 32):
currentcol = currentcol - 1
currentrow = currentrow - 1
currentdistance = math.sqrt(flowdir.raster.meanCellWidth *
flowdir.raster.meanCellWidth +
flowdir.raster.meanCellHeight *
flowdir.raster.meanCellHeight)
if (direction == 64):
currentrow = currentrow - 1
currentdistance = flowdir.raster.meanCellHeight
if (direction == 128):
currentcol = currentcol + 1
currentrow = currentrow - 1
currentdistance = math.sqrt(flowdir.raster.meanCellWidth *
flowdir.raster.meanCellWidth +
flowdir.raster.meanCellHeight *
flowdir.raster.meanCellHeight)
# Tests de sécurité pour s'assurer que l'on ne sorte pas des rasters
if currentcol < 0 or currentcol >= flowdir.raster.width or currentrow < 0 or currentrow >= flowdir.raster.height:
intheraster = False
elif (flowdir.getValue(currentrow, currentcol) != 1
and flowdir.getValue(currentrow, currentcol) != 2
and flowdir.getValue(currentrow, currentcol) != 4
and flowdir.getValue(currentrow, currentcol) != 8
and flowdir.getValue(currentrow, currentcol) != 16
and flowdir.getValue(currentrow, currentcol) != 32
and flowdir.getValue(currentrow, currentcol) != 64
and flowdir.getValue(currentrow, currentcol) != 128):
intheraster = False
if intheraster:
confluence_seg = raster_segments.getValue(
currentrow, currentcol)
if (confluence_seg != -255):
# Atteinte d'un confluent déjà traité
# Si le segment dans lequel on arrive est limité par un lac, le confluent peut l'être aussi
# On copie l'item toclip pour limiter l'étendu de la zone
# par contre on garde l'élévation à -999 (hfix sera le résultat de la simulation du cours d'eau confluent)
if confluence_seg in listtomerged:
confluence_seg -= 1
if confluence_seg in toclip:
clipitem = list(toclip[confluence_seg])
toclip[segnumber] = clipitem
if totaldistance < 0.3 * distance and dividedriver:
# Segment trop court si de longueur inférieure à 30% de la distance voullue
# Le segment doit être alors fusionné avec le segment précédent (qui existe uniquement si dividedriver = True)
listtomerged.append(segnumber)
if segnumber in toclip:
toclip[segnumber - 1] = toclip.pop(segnumber)
intheraster = False
# Pour chaque point traité le long de l'écoulement
for currentpoint in listpointsflowpath:
# Si c'est un point d'un segment trop court, on remplace le numéro du segment par le numéro du segment précédent
if currentpoint.segnumber in listtomerged:
currentpoint.segnumber -= 1
# On enregistre le point
raster_segments.setValue(currentpoint.row, currentpoint.col,
currentpoint.segnumber)
if currentpoint.segnumber not in inputpoints:
newpoint = pointflowpath()
newpoint.type = "main"
newpoint.frompointid = currentpoint.frompointid
# Coordonnées du point source
newpoint.X = currentpoint.X
newpoint.Y = currentpoint.Y
inputpoints[currentpoint.segnumber] = newpoint
raster_segments.save()
### Fin du traitement perrmettant d'identifier les segments ###
### Transformation du raster des segments en zones ####
# Transformation en polyline
tmp_segments = arcpy.env.scratchWorkspace + "\\tmpsegments.shp"
arcpy.RasterToPolyline_conversion(str_segments, tmp_segments)
arcpy.Dissolve_management(tmp_segments, str_linesegments, "GRID_CODE")
arcpy.Delete_management(tmp_segments)
# Création de la zone tampon
# Harcoded : buffer longitudinal de 1/10 de l'extension latérale (obtenue par Euclidienne Allocation)
tmp_segmentsbuf = arcpy.env.scratchWorkspace + "\\tmpsegments_buf.shp"
arcpy.Buffer_analysis(str_linesegments, tmp_segmentsbuf, bufferw / 10.)
segalloc = arcpy.sa.EucAllocation(raster_segments.raster, bufferw)
arcpy.RasterToPolygon_conversion(segalloc, tmp_segments)
arcpy.AddField_management(tmp_segments, "GRID_CODE", "LONG")
arcpy.CalculateField_management(tmp_segments, "GRID_CODE", "!GRIDCODE!",
"PYTHON_9.3")
tmp_segments2 = arcpy.env.scratchWorkspace + "\\tmpsegments2.shp"
arcpy.Merge_management([tmp_segmentsbuf, tmp_segments], tmp_segments2)
arcpy.Dissolve_management(tmp_segments2,
str_bufferedsegments, ["GRID_CODE"],
multi_part="SINGLE_PART")
arcpy.Delete_management(tmp_segments)
arcpy.Delete_management(tmp_segments2)
arcpy.Delete_management(str_lakes)
# Création de la zone pour chaque segment
arcpy.CreateFeatureclass_management(
str_zonesfolder,
"polyzones.shp",
"POLYGON",
str_bufferedsegments,
spatial_reference=flowdir.raster.spatialReference)
polyzones = str_zonesfolder + "\\polyzones.shp"
arcpy.AddField_management(polyzones, "Lake_ID", "LONG")
cursor = arcpy.da.InsertCursor(polyzones,
["GRID_CODE", "SHAPE@", "Lake_ID"])
segmentscursor = arcpy.da.UpdateCursor(str_bufferedsegments,
["GRID_CODE", "SHAPE@"])
for segment in segmentscursor:
Xmin = segment[1].extent.XMin
Ymin = segment[1].extent.YMin
Xmax = segment[1].extent.XMax
Ymax = segment[1].extent.YMax
if segment[0] in toclip:
if toclip[segment[0]][0] == "Xmin":
Xmin = max(toclip[segment[0]][1], Xmin)
if toclip[segment[0]][0] == "Xmax":
Xmax = min(toclip[segment[0]][1], Xmax)
if toclip[segment[0]][0] == "Ymin":
Ymin = max(toclip[segment[0]][1], Ymin)
if toclip[segment[0]][0] == "Ymax":
Ymax = min(toclip[segment[0]][1], Ymax)
segmentscursor.updateRow(segment)
array = arcpy.Array([
arcpy.Point(Xmin, Ymin),
arcpy.Point(Xmin, Ymax),
arcpy.Point(Xmax, Ymax),
arcpy.Point(Xmax, Ymin)
])
polygon = arcpy.Polygon(array)
if segment[0] in lakes_bci:
lakeid = lakes_bci[segment[0]]
else:
lakeid = -999
cursor.insertRow([segment[0], polygon, lakeid])
del cursor
del segmentscursor
arcpy.CreateFeatureclass_management(
os.path.dirname(save_sourcepoints),
os.path.basename(save_sourcepoints),
"POINT",
spatial_reference=flowdir.raster.spatialReference)
arcpy.AddField_management(save_sourcepoints, "ZoneID", "LONG")
arcpy.AddField_management(save_sourcepoints, "fpid", "LONG")
pointcursor = arcpy.da.InsertCursor(save_sourcepoints,
["ZoneID", "fpid", "SHAPE@XY"])
for pointkey in inputpoints:
pointcursor.insertRow([
pointkey, inputpoints[pointkey].frompointid,
(inputpoints[pointkey].X, inputpoints[pointkey].Y)
])
del pointcursor
return
def execute_orientedCS(r_flowdir,
str_frompoints,
str_ptscs,
smoothingdistance,
str_cs,
messages,
language="FR"):
arcpy.env.outputCoordinateSystem = r_flowdir.spatialReference
# Chargement des fichiers
flowdir = RasterIO(r_flowdir)
arcpy.env.extent = r_flowdir
arcpy.env.snapRaster = r_flowdir
randomname = binascii.hexlify(os.urandom(6)).decode()
temp_cs2 = arcpy.env.scratchWorkspace + "\\" + str(randomname)
arcpy.PointToRaster_conversion(str_ptscs,
arcpy.Describe(str_ptscs).OIDFieldName,
temp_cs2,
cellsize=r_flowdir)
temprastercs = RasterIO(arcpy.Raster(temp_cs2))
Result = RasterIO(r_flowdir, str_cs, float, -255)
# Décompte du nombre de points de départ pour configurer de la barre de progression
frompointcursor = arcpy.da.SearchCursor(str_frompoints, "OID@")
count = 0
for frompoint in frompointcursor:
count += 1
progtext = "Calcul de l'orientation des sections transversales"
if language == "EN":
progtext = "Processing"
arcpy.SetProgressor("step", progtext, 0, count, 1)
progres = 0
# Traitement effectué pour chaque point de départ
frompointcursor = arcpy.da.SearchCursor(str_frompoints, "SHAPE@")
for frompoint in frompointcursor:
# Mise à jour de la barre de progression
arcpy.SetProgressorPosition(progres)
progres += 1
# On prend l'objet géométrique (le point) associé à la ligne dans la table
frompointshape = frompoint[0].firstPoint
# Conversion des coordonnées
currentcol = flowdir.XtoCol(frompointshape.X)
currentrow = flowdir.YtoRow(frompointshape.Y)
# Tests de sécurité pour s'assurer que le point de départ est à l'intérieurs des rasters
intheraster = True
if currentcol < 0 or currentcol >= flowdir.raster.width or currentrow < 0 or currentrow >= flowdir.raster.height:
intheraster = False
elif (flowdir.getValue(currentrow, currentcol) != 1
and flowdir.getValue(currentrow, currentcol) != 2
and flowdir.getValue(currentrow, currentcol) != 4
and flowdir.getValue(currentrow, currentcol) != 8
and flowdir.getValue(currentrow, currentcol) != 16
and flowdir.getValue(currentrow, currentcol) != 32
and flowdir.getValue(currentrow, currentcol) != 64
and flowdir.getValue(currentrow, currentcol) != 128):
intheraster = False
totaldistance = 0
currentdistance = 0
confluencedist = 0
listpointsflowpath = []
afterconfluence = False
# Traitement effectué sur chaque cellule le long de l'écoulement
while (intheraster):
# On stock différentes informations sur le point dans listpointsflowpath
currentpoint = pointflowpath()
currentpoint.row = currentrow
currentpoint.col = currentcol
currentpoint.X = flowdir.ColtoX(currentcol)
currentpoint.Y = flowdir.RowtoY(currentrow)
currentpoint.addeddistance = currentdistance
totaldistance = totaldistance + currentdistance
currentpoint.distance = totaldistance
listpointsflowpath.append(currentpoint)
# Les points traité sont mis à -999 (cela permet la détection des confluences)
if not afterconfluence:
Result.setValue(currentrow, currentcol, -999)
# On cherche le prochain point à partir du flow direction
direction = flowdir.getValue(currentrow, currentcol)
if (direction == 1):
currentcol = currentcol + 1
currentdistance = flowdir.raster.meanCellWidth
if (direction == 2):
currentcol = currentcol + 1
currentrow = currentrow + 1
currentdistance = math.sqrt(flowdir.raster.meanCellWidth *
flowdir.raster.meanCellWidth +
flowdir.raster.meanCellHeight *
flowdir.raster.meanCellHeight)
if (direction == 4):
currentrow = currentrow + 1
currentdistance = flowdir.raster.meanCellHeight
if (direction == 8):
currentcol = currentcol - 1
currentrow = currentrow + 1
currentdistance = math.sqrt(flowdir.raster.meanCellWidth *
flowdir.raster.meanCellWidth +
flowdir.raster.meanCellHeight *
flowdir.raster.meanCellHeight)
if (direction == 16):
currentcol = currentcol - 1
currentdistance = flowdir.raster.meanCellWidth
if (direction == 32):
currentcol = currentcol - 1
currentrow = currentrow - 1
currentdistance = math.sqrt(flowdir.raster.meanCellWidth *
flowdir.raster.meanCellWidth +
flowdir.raster.meanCellHeight *
flowdir.raster.meanCellHeight)
if (direction == 64):
currentrow = currentrow - 1
currentdistance = flowdir.raster.meanCellHeight
if (direction == 128):
currentcol = currentcol + 1
currentrow = currentrow - 1
currentdistance = math.sqrt(flowdir.raster.meanCellWidth *
flowdir.raster.meanCellWidth +
flowdir.raster.meanCellHeight *
flowdir.raster.meanCellHeight)
# Tests de sécurité pour s'assurer que l'on ne sorte pas des rasters
if currentcol < 0 or currentcol >= flowdir.raster.width or currentrow < 0 or currentrow >= flowdir.raster.height:
intheraster = False
elif (flowdir.getValue(currentrow, currentcol) != 1
and flowdir.getValue(currentrow, currentcol) != 2
and flowdir.getValue(currentrow, currentcol) != 4
and flowdir.getValue(currentrow, currentcol) != 8
and flowdir.getValue(currentrow, currentcol) != 16
and flowdir.getValue(currentrow, currentcol) != 32
and flowdir.getValue(currentrow, currentcol) != 64
and flowdir.getValue(currentrow, currentcol) != 128):
intheraster = False
if intheraster:
if (Result.getValue(currentrow, currentcol) != Result.nodata):
# Atteinte d'un point déjà traité
if confluencedist == 0:
confluencedist = totaldistance + currentdistance
afterconfluence = True
# On continue encore sur la moitié de la distance de calcul de la pente après le confluent
if (totaldistance + currentdistance -
confluencedist) > smoothingdistance / 2:
intheraster = False
currentpointnumber = 0
# Traitement effectué sur la liste des points le long de l'écoulement
while (currentpointnumber < len(listpointsflowpath)):
currentpoint = listpointsflowpath[currentpointnumber]
if temprastercs.getValue(currentpoint.row,
currentpoint.col) != temprastercs.nodata:
# Point pour lequel on doit calculer l'orientation de la section transversale
listXforregression = []
listYforregression = []
listXforregression.append(currentpoint.X)
listYforregression.append(currentpoint.Y)
distancefromcurrentpoint = 0
nbcellsfromcurrentpoint = 0
try:
# on ajoute dans listpointforregression les points situés avant le point courant, jusqu'à la distance souhaitée
while (distancefromcurrentpoint <= smoothingdistance / 2):
nbcellsfromcurrentpoint = nbcellsfromcurrentpoint - 1
if (currentpointnumber + nbcellsfromcurrentpoint > 0):
distancefromcurrentpoint = distancefromcurrentpoint + listpointsflowpath[
currentpointnumber +
nbcellsfromcurrentpoint].addeddistance
listXforregression.append(
listpointsflowpath[currentpointnumber +
nbcellsfromcurrentpoint].X)
listYforregression.append(
listpointsflowpath[currentpointnumber +
nbcellsfromcurrentpoint].Y)
else:
raise IndexError
distancefromcurrentpoint = 0
nbcellsfromcurrentpoint = 0
# on ajoute également les points situé après le point courant, jusqu'à la distance souhaitée
while (distancefromcurrentpoint < smoothingdistance / 2):
nbcellsfromcurrentpoint = nbcellsfromcurrentpoint + 1
distancefromcurrentpoint = distancefromcurrentpoint + listpointsflowpath[
currentpointnumber +
nbcellsfromcurrentpoint].addeddistance
listXforregression.append(
listpointsflowpath[currentpointnumber +
nbcellsfromcurrentpoint].X)
listYforregression.append(
listpointsflowpath[currentpointnumber +
nbcellsfromcurrentpoint].Y)
# Variance et covariance prises avec 0 degrés de liberté
varx = numpy.var(listXforregression)
vary = numpy.var(listYforregression)
covarxy = numpy.cov(listXforregression,
listYforregression,
bias=True)[0][1]
slope = 0
if (covarxy != 0 and varx > 0 and vary > 0):
# Formule pour la régression par axe majeur : Legendre et Legendre, 1998, Numerical Ecology, 2ème édition (p.507)
slope = (vary - varx + math.sqrt(
(vary - varx)**2 + 4 * covarxy**2)) / (2 * covarxy)
angle = math.atan2(slope, 1)
# angle perpendiculaire à l'écoulement:
angle = angle + math.pi / 2
if (angle > math.pi):
angle = angle - 2 * math.pi
else:
if varx == 0:
angle = 0
elif vary == 0:
angle = math.pi / 2
else:
# la covariance est nulle
# on compare l'évolution en x et en y entre le premier et le dernier point
if (listXforregression[0] - listXforregression[-1]
) > (listYforregression[0] -
listYforregression[-1]):
angle = math.pi / 2
else:
angle = 0
Result.setValue(currentpoint.row, currentpoint.col, angle)
except IndexError:
pass
currentpointnumber = currentpointnumber + 1
Result.save()
# On supprime les -999 du résultat final
raster_res = arcpy.sa.SetNull(str_cs, str_cs, "VALUE = -999")
raster_res.save(str_cs)
# On supprime le fichier temporaire
arcpy.Delete_management(temp_cs2)
return
def execute_RiverWith(r_binary,
r_flowdir,
str_frompoints,
r_cs,
oriented,
str_width,
messages,
language="FR"):
# Chargement des fichiers
binary = RasterIO(r_binary)
flowdir = RasterIO(r_flowdir)
cs = RasterIO(r_cs)
try:
flowdir.checkMatch(cs)
except Exception as e:
messages.addErrorMessage(e.message)
Result = RasterIO(r_flowdir, str_width, float, -255)
# Décompte du nombre de points de départ pour configurer de la barre de progression
frompointcursor = arcpy.da.SearchCursor(str_frompoints, "OID@")
count = 0
for frompoint in frompointcursor:
count += 1
progtext = "Calcul de la largeur aux sections transversales"
if language == "EN":
progtext = "Processing"
arcpy.SetProgressor("step", progtext, 0, count, 1)
progres = 0
# Traitement effectué pour chaque point de départ
frompointcursor = arcpy.da.SearchCursor(str_frompoints, "SHAPE@")
for frompoint in frompointcursor:
# Mise à jour de la barre de progression
arcpy.SetProgressorPosition(progres)
progres += 1
# On prend l'objet géométrique (le point) associé à la ligne dans la table
frompointshape = frompoint[0].firstPoint
# Conversion des coordonnées
currentcol = flowdir.XtoCol(frompointshape.X)
currentrow = flowdir.YtoRow(frompointshape.Y)
intheraster = True
# Tests de sécurité pour s'assurer que le point de départ est à l'intérieurs des rasters
if currentcol < 0 or currentcol >= flowdir.raster.width or currentrow < 0 or currentrow >= flowdir.raster.height:
intheraster = False
elif (flowdir.getValue(currentrow, currentcol) != 1
and flowdir.getValue(currentrow, currentcol) != 2
and flowdir.getValue(currentrow, currentcol) != 4
and flowdir.getValue(currentrow, currentcol) != 8
and flowdir.getValue(currentrow, currentcol) != 16
and flowdir.getValue(currentrow, currentcol) != 32
and flowdir.getValue(currentrow, currentcol) != 64
and flowdir.getValue(currentrow, currentcol) != 128):
intheraster = False
# Traitement effectué sur chaque cellule le long de l'écoulement
while (intheraster):
# On se reprojète dans le système de coordonnées du raster binary
colbinary = binary.XtoCol(flowdir.ColtoX(currentcol))
rowbinary = binary.YtoRow(flowdir.RowtoY(currentrow))
angle = cs.getValue(currentrow, currentcol)
if angle != cs.nodata:
if oriented:
# calcul de la ligne et de la colonne du prochain point dans l'axe de la section transversale
if (angle > math.pi / 4 and angle < 3 * math.pi / 4):
rowinc = -1
colinc = math.cos(angle)
else:
colinc = 1
rowinc = -math.sin(angle)
if angle > 3 * math.pi / 4:
rowinc = -rowinc
step = 0
while binary.getValue(
rowbinary + int(rowinc * step),
colbinary + int(colinc * step)) != binary.nodata:
step += 1
# on répète les opérations précédentes en progressant dans l'autre sens le long de la section transversale
step2 = 0
while binary.getValue(
rowbinary - int(rowinc * step2),
colbinary - int(colinc * step2)) != binary.nodata:
step2 += 1
# if the process was not interrupted because an edge was reached
if (rowbinary + int(rowinc * step)) >= 0 and (
colbinary + int(colinc * step)
) >= 0 and (rowbinary - int(rowinc * step2)) >= 0 and (
colbinary - int(colinc * step2)
) and (rowbinary + int(rowinc * step)
) < binary.raster.height and (colbinary + int(
colinc * step)) < binary.raster.width and (
rowbinary - int(rowinc * step2)
) < binary.raster.height and (colbinary - int(
colinc * step2)) < binary.raster.width:
basedist = math.sqrt(
(rowinc * binary.raster.meanCellHeight)**2 +
(colinc * binary.raster.meanCellWidth)**2)
width = basedist * (step + step2)
Result.setValue(currentrow, currentcol, width)
else:
# on teste la largeur sur une étoile à 16 branches et on prend le minimum
minwidth = None
for star_i in range(1, 9):
step = 0
step2 = 0
if star_i == 1:
rowinc = 0
colinc = 1
if star_i == 2:
rowinc = step % 2
colinc = 1
if star_i == 3:
rowinc = 1
colinc = 1
if star_i == 4:
rowinc = 1
colinc = step % 2
if star_i == 5:
rowinc = 1
colinc = 0
if star_i == 6:
rowinc = 1
colinc = -step % 2
if star_i == 7:
rowinc = 1
colinc = -1
if star_i == 8:
rowinc = step % 2
colinc = -1
while binary.getValue(
rowbinary + int(rowinc * step), colbinary +
int(colinc * step)) != binary.nodata:
step += 1
while binary.getValue(
rowbinary - int(rowinc * step2), colbinary -
int(colinc * step2)) != binary.nodata:
step2 += 1
width = None
# if the process was not interrupted because an edge was reached
if (rowbinary + int(rowinc * step)) >= 0 and (
colbinary + int(colinc * step)
) >= 0 and (rowbinary - int(rowinc * step2)) >= 0 and (
colbinary - int(colinc * step2)
) and (rowbinary +
int(rowinc * step)) < binary.raster.height and (
colbinary + int(colinc * step)
) < binary.raster.width and (
rowbinary - int(rowinc * step2)
) < binary.raster.height and (colbinary - int(
colinc * step2)) < binary.raster.width:
basedist = math.sqrt(
(rowinc * binary.raster.meanCellHeight)**2 +
(colinc * binary.raster.meanCellWidth)**2)
width = basedist * (step + step2)
if minwidth is not None:
if width is not None:
minwidth = min(minwidth, width)
else:
minwidth = width
if minwidth is not None:
Result.setValue(currentrow, currentcol, minwidth)
# On cherche le prochain point à partir du flow direction
direction = flowdir.getValue(currentrow, currentcol)
if (direction == 1):
currentcol = currentcol + 1
if (direction == 2):
currentcol = currentcol + 1
currentrow = currentrow + 1
if (direction == 4):
currentrow = currentrow + 1
if (direction == 8):
currentcol = currentcol - 1
currentrow = currentrow + 1
if (direction == 16):
currentcol = currentcol - 1
if (direction == 32):
currentcol = currentcol - 1
currentrow = currentrow - 1
if (direction == 64):
currentrow = currentrow - 1
if (direction == 128):
currentcol = currentcol + 1
currentrow = currentrow - 1
# Tests de sécurité pour s'assurer que l'on ne sorte pas des rasters
if currentcol < 0 or currentcol >= flowdir.raster.width or currentrow < 0 or currentrow >= flowdir.raster.height:
intheraster = False
elif (flowdir.getValue(currentrow, currentcol) != 1
and flowdir.getValue(currentrow, currentcol) != 2
and flowdir.getValue(currentrow, currentcol) != 4
and flowdir.getValue(currentrow, currentcol) != 8
and flowdir.getValue(currentrow, currentcol) != 16
and flowdir.getValue(currentrow, currentcol) != 32
and flowdir.getValue(currentrow, currentcol) != 64
and flowdir.getValue(currentrow, currentcol) != 128):
intheraster = False
if intheraster:
if (Result.getValue(currentrow, currentcol) != -255):
# Atteinte d'un confluent
intheraster = False
Result.save()
return
def execute_DefBCI(r_flowdir, r_flowacc, distoutput, percent, str_zonesfolder,
r_dem, r_width, r_zbed, r_manning, r_mask, str_outputfolder,
messages):
save_inbci = str_zonesfolder + "\\inbci.shp"
save_outbci = str_zonesfolder + "\\outbci.shp"
# Chargement des fichiers
flowdir = RasterIO(r_flowdir)
flowacc = RasterIO(r_flowacc)
dem = RasterIO(r_dem)
try:
flowdir.checkMatch(flowacc)
flowdir.checkMatch(dem)
except Exception as e:
messages.addErrorMessage(e.message)
# Création d'un nouveau fichier de zones en prenant les enveloppes
zones = str_zonesfolder + "\\envelopezones.shp"
arcpy.FeatureEnvelopeToPolygon_management(
str_zonesfolder + "\\polyzones.shp", zones)
# Clip du DEM
zonesscursor = arcpy.da.SearchCursor(zones, ["GRID_CODE", "SHAPE@"])
for zoneshp in zonesscursor:
Xmin = zoneshp[1].extent.XMin
Ymin = zoneshp[1].extent.YMin
Xmax = zoneshp[1].extent.XMax
Ymax = zoneshp[1].extent.YMax
envelope = str(Xmin) + " " + str(Ymin) + " " + str(Xmax) + " " + str(
Ymax)
arcpy.Clip_management(dem.raster, envelope,
str_zonesfolder + "\\zone" + str(zoneshp[0]))
# Listes des points source et des points de sortie
listinputpoints = []
listoutputpoints = []
# Lectures des points source pour chaque zone
sourcepointcursor = arcpy.da.SearchCursor(
str_zonesfolder + "\\sourcepoints.shp", ["SHAPE@", "ZoneID", "fpid"])
for sourcepoint in sourcepointcursor:
newpoint = pointflowpath()
newpoint.type = "main"
newpoint.frompointid = sourcepoint[2]
# Coordonnées du point source
newpoint.X = sourcepoint[0].firstPoint.X
newpoint.Y = sourcepoint[0].firstPoint.Y
# Raster de la zone
newpoint.numzone = sourcepoint[1]
# Valeur du flow accumulation
col = flowacc.XtoCol(newpoint.X)
row = flowacc.YtoRow(newpoint.Y)
newpoint.flowacc = flowacc.getValue(row, col)
listinputpoints.append(newpoint)
### Début de traitement pour la détection des points de sortie et des points sources latéraux ###
listlateralinputpoints = []
# Pour chaque raster, on parcourt l'écoulement à partir du point source
for mainpoint in listinputpoints:
# Raster de la zone correspondante au point source
localraster = RasterIO(
arcpy.Raster(str_zonesfolder + r"\zone" + str(mainpoint.numzone)))
# Conversion des coordonnées
currentcol = flowdir.XtoCol(mainpoint.X)
currentrow = flowdir.YtoRow(mainpoint.Y)
localcol = localraster.XtoCol(mainpoint.X)
localrow = localraster.YtoRow(mainpoint.Y)
currentflowacc = flowacc.getValue(currentrow, currentcol)
mainpoint.flowacc = currentflowacc
lastflowacc = currentflowacc
# Parcours de l'écoulement
intheraster = True
while (intheraster):
prevcol = currentcol
prevrow = currentrow
currentflowacc = flowacc.getValue(currentrow, currentcol)
if 100. * float(currentflowacc -
lastflowacc) / float(lastflowacc) >= percent:
newpoint = pointflowpath()
newpoint.type = "lateral"
newpoint.frompointid = mainpoint.frompointid
# Coordonnées du point source
newpoint.X = flowdir.ColtoX(currentcol)
newpoint.Y = flowdir.RowtoY(currentrow)
# Raster de la zone
newpoint.numzone = mainpoint.numzone
# Valeur du flow accumulation
newpoint.flowacc = currentflowacc
lastflowacc = currentflowacc
listlateralinputpoints.append(newpoint)
# On cherche le prochain point à partir du flow direction
direction = flowdir.getValue(currentrow, currentcol)
if (direction == 1):
currentcol = currentcol + 1
localcol += 1
if (direction == 2):
currentcol = currentcol + 1
currentrow = currentrow + 1
localcol += 1
localrow += 1
if (direction == 4):
currentrow = currentrow + 1
localrow += 1
if (direction == 8):
currentcol = currentcol - 1
currentrow = currentrow + 1
localcol -= 1
localrow += 1
if (direction == 16):
currentcol = currentcol - 1
localcol -= 1
if (direction == 32):
currentcol = currentcol - 1
currentrow = currentrow - 1
localcol -= 1
localrow -= 1
if (direction == 64):
currentrow = currentrow - 1
localrow -= 1
if (direction == 128):
currentcol = currentcol + 1
currentrow = currentrow - 1
localcol += 1
localrow -= 1
if currentcol < 0 or currentcol >= flowdir.raster.width or currentrow < 0 or currentrow >= flowdir.raster.height:
intheraster = False
elif (flowdir.getValue(currentrow, currentcol) != 1
and flowdir.getValue(currentrow, currentcol) != 2
and flowdir.getValue(currentrow, currentcol) != 4
and flowdir.getValue(currentrow, currentcol) != 8
and flowdir.getValue(currentrow, currentcol) != 16
and flowdir.getValue(currentrow, currentcol) != 32
and flowdir.getValue(currentrow, currentcol) != 64
and flowdir.getValue(currentrow, currentcol) != 128):
intheraster = False
if localcol < 0 or localcol >= localraster.raster.width or localrow < 0 or localrow >= localraster.raster.height:
intheraster = False
elif localraster.getValue(localrow,
localcol) == localraster.nodata:
intheraster = False
# On enregistre un point de sortie au dernier point traité avant de sortir de la zone
newpoint = pointflowpath()
newpoint.numzone = mainpoint.numzone
newpoint.X = flowdir.ColtoX(prevcol)
newpoint.Y = flowdir.RowtoY(prevrow)
# Il est nécessaire d'enregistrer le côté du raster par lequel on sort.
# Ceci est fait en regardant la distance entre le dernier point traité et les coordonnées maximales de la zone
# Le côté de sortie est le côté pour lequel cette distance est minimum
distside = min(newpoint.X - localraster.raster.extent.XMin,
localraster.raster.extent.XMax - newpoint.X,
newpoint.Y - localraster.raster.extent.YMin,
localraster.raster.extent.YMax - newpoint.Y)
if distside == newpoint.X - localraster.raster.extent.XMin:
newpoint.side = "W"
if distside == localraster.raster.extent.XMax - newpoint.X:
newpoint.side = "E"
if distside == newpoint.Y - localraster.raster.extent.YMin:
newpoint.side = "S"
if distside == localraster.raster.extent.YMax - newpoint.Y:
newpoint.side = "N"
listoutputpoints.append(newpoint)
listinputpoints.extend(listlateralinputpoints)
### Fin de traitement pour la détection des points de sortie et des points sources latéraux ###
### Début de traitement pour la configuration des fenêtres de sortie ###
# Pour chaque point de sortie
for point in listoutputpoints:
raster = RasterIO(
arcpy.Raster(str_zonesfolder + r"\zone" + str(point.numzone)))
colinc = 0
rowinc = 0
distinc = 0
point.side2 = "0"
point.lim3 = 0
point.lim4 = 0
# Selon le coté de sortie, on progressera horizontalement ou verticalement
if point.side == "W" or point.side == "E":
rowinc = 1
distinc = raster.raster.meanCellHeight
else:
colinc = 1
distinc = raster.raster.meanCellWidth
currentcol = raster.XtoCol(point.X)
currentrow = raster.YtoRow(point.Y)
distance = 0
# On progresse sur dans une direction jusqu'à sortir du raster ou jusqu'à ce que la distance voullue soit attente
while (not (currentcol < 0 or currentcol >= raster.raster.width or currentrow < 0 or currentrow >= raster.raster.height)) \
and raster.getValue(currentrow,currentcol) != raster.nodata and distance < distoutput/2:
distance += distinc
currentrow += rowinc
currentcol += colinc
# On prends les coordonnées avant de sortir du raster
currentrow -= rowinc
currentcol -= colinc
if point.side == "W" or point.side == "E":
point.lim1 = raster.RowtoY(currentrow)
else:
point.lim1 = raster.ColtoX(currentcol)
# Si la procédure s'est arrêtée parce qu'on est sorti du raster, on tourne de 90 degrés et on continue
if distance < distoutput / 2:
distance -= distinc
if point.side == "W":
colinc = 1
rowinc = 0
distinc = raster.raster.meanCellWidth
point.lim3 = raster.raster.extent.XMin + (
currentcol + 0.5) * raster.raster.meanCellWidth
elif point.side == "E":
colinc = -1
rowinc = 0
distinc = raster.raster.meanCellWidth
point.lim3 = raster.raster.extent.XMin + (
currentcol + 0.5) * raster.raster.meanCellWidth
elif point.side == "N":
rowinc = 1
colinc = 0
distinc = raster.raster.meanCellHeight
point.lim3 = max(
raster.raster.extent.YMin, raster.raster.extent.YMax -
(currentrow + 1) * raster.raster.meanCellHeight
) + 0.5 * raster.raster.meanCellHeight
elif point.side == "S":
rowinc = -1
colinc = 0
distinc = raster.raster.meanCellHeight
point.lim3 = max(
raster.raster.extent.YMin, raster.raster.extent.YMax -
(currentrow + 1) * raster.raster.meanCellHeight
) + 0.5 * raster.raster.meanCellHeight
# On progresse à nouveau jusqu'à sortir du raster ou jusqu'à ce que la distance voullue soit attente
while (not (currentcol < 0 or currentcol >= raster.raster.width or currentrow < 0 or currentrow >= raster.raster.height)) \
and raster.getValue(currentrow, currentcol) != raster.nodata and distance < distoutput / 2:
distance += distinc
currentrow += rowinc
currentcol += colinc
currentrow -= rowinc
currentcol -= colinc
# On cherche sur quel coté on est après avoir tourné de 90 degrés
if point.side == "W" or point.side == "E":
point.side2 = "S"
point.lim4 = raster.raster.extent.XMin + (
currentcol + 0.5) * raster.raster.meanCellWidth
else:
point.side2 = "E"
point.lim4 = max(
raster.raster.extent.YMin, raster.raster.extent.YMax -
(currentrow + 1) * raster.raster.meanCellHeight
) + 0.5 * raster.raster.meanCellHeight
# On recommence toute la procédure de l'autre côté du point de sortie
colinc = 0
rowinc = 0
distinc = 0
if point.side == "W" or point.side == "E":
rowinc = -1
distinc = raster.raster.meanCellHeight
else:
colinc = -1
distinc = raster.raster.meanCellWidth
currentcol = raster.XtoCol(point.X)
currentrow = raster.YtoRow(point.Y)
distance = 0
while (not (currentcol < 0 or currentcol >= raster.raster.width or currentrow < 0 or currentrow >= raster.raster.height)) \
and raster.getValue(currentrow, currentcol) != raster.nodata and distance < distoutput / 2:
distance += distinc
currentrow += rowinc
currentcol += colinc
currentrow -= rowinc
currentcol -= colinc
if point.side == "W" or point.side == "E":
point.lim2 = max(
raster.raster.extent.YMin, raster.raster.extent.YMax -
(currentrow + 1) * raster.raster.meanCellHeight
) + 0.5 * raster.raster.meanCellHeight
else:
point.lim2 = raster.raster.extent.XMin + (
currentcol + 0.5) * raster.raster.meanCellWidth
# Si la procédure s'est arrêtée parce qu'on est sorti du raster, on tourne de 90 degrés et on continue
if distance < distoutput / 2:
distance -= distinc
if point.side == "W":
colinc = 1
rowinc = 0
distinc = raster.raster.meanCellWidth
point.lim3 = raster.raster.extent.XMin + (
currentcol + 0.5) * raster.raster.meanCellWidth
elif point.side == "E":
colinc = -1
rowinc = 0
distinc = raster.raster.meanCellWidth
point.lim3 = raster.raster.extent.XMin + (
currentcol + 0.5) * raster.raster.meanCellWidth
elif point.side == "N":
rowinc = 1
colinc = 0
distinc = raster.raster.meanCellHeight
point.lim3 = max(
raster.raster.extent.YMin, raster.raster.extent.YMax -
(currentrow + 1) * raster.raster.meanCellHeight
) + 0.5 * raster.raster.meanCellHeight
elif point.side == "S":
rowinc = -1
colinc = 0
distinc = raster.raster.meanCellHeight
point.lim3 = max(
raster.raster.extent.YMin, raster.raster.extent.YMax -
(currentrow + 1) * raster.raster.meanCellHeight
) + 0.5 * raster.raster.meanCellHeight
while (not (currentcol < 0 or currentcol >= raster.raster.width or currentrow < 0 or currentrow >= raster.raster.height)) \
and raster.getValue(currentrow, currentcol) != raster.nodata and distance < distoutput / 2:
distance += distinc
currentrow += rowinc
currentcol += colinc
currentrow -= rowinc
currentcol -= colinc
if point.side == "W" or point.side == "E":
point.side2 = "N"
point.lim4 = raster.raster.extent.XMin + (
currentcol + 0.5) * raster.raster.meanCellWidth
else:
point.side2 = "W"
point.lim4 = max(
raster.raster.extent.YMin, raster.raster.extent.YMax -
(currentrow + 1) * raster.raster.meanCellHeight
) + 0.5 * raster.raster.meanCellHeight
### Fin du traitement pour la configuration des fenêtres de sortie ###
# Création des shapefiles inbci et outbci, avec les champs nécessaires
arcpy.CreateFeatureclass_management(
os.path.dirname(save_inbci),
os.path.basename(save_inbci),
"POINT",
spatial_reference=flowdir.raster.spatialReference)
arcpy.AddField_management(save_inbci, "zoneid", "LONG")
arcpy.AddField_management(save_inbci, "flowacc", "LONG")
arcpy.AddField_management(save_inbci, "type", "TEXT")
arcpy.AddField_management(save_inbci, "fpid", "LONG")
arcpy.CreateFeatureclass_management(
os.path.dirname(save_outbci),
os.path.basename(save_outbci),
"POINT",
spatial_reference=flowdir.raster.spatialReference)
arcpy.AddField_management(save_outbci, "zoneid", "LONG")
arcpy.AddField_management(save_outbci, "side", "TEXT", field_length=1)
arcpy.AddField_management(save_outbci, "lim1", "LONG")
arcpy.AddField_management(save_outbci, "lim2", "LONG")
arcpy.AddField_management(
save_outbci,
"side2",
"TEXT",
field_length=1,
)
arcpy.AddField_management(save_outbci, "lim3", "LONG")
arcpy.AddField_management(save_outbci, "lim4", "LONG")
# Enregistrement dans les shapefiles des informations contenues dans les listes
pointcursor = arcpy.da.InsertCursor(
save_inbci, ["zoneid", "flowacc", "type", "fpid", "SHAPE@XY"])
for point in listinputpoints:
pointcursor.insertRow([
point.numzone, point.flowacc, point.type, point.frompointid,
(point.X, point.Y)
])
pointcursor = arcpy.da.InsertCursor(save_outbci, [
"zoneid", "side", "lim1", "lim2", "side2", "lim3", "lim4", "SHAPE@XY"
])
for point in listoutputpoints:
pointcursor.insertRow([
point.numzone, point.side, point.lim1, point.lim2, point.side2,
point.lim3, point.lim4, (point.X, point.Y)
])
del pointcursor
# Création des fichiers .bci à partir des information du fichier inbci.shp
bcipointcursor = arcpy.da.SearchCursor(
save_inbci, ["SHAPE@", "zoneid", "flowacc", "type"])
dictsegmentsin = {}
for point in bcipointcursor:
if point[1] not in dictsegmentsin:
dictsegmentsin[point[1]] = []
dictsegmentsin[point[1]].append(point)
for segment in dictsegmentsin.values():
for point in sorted(segment, key=lambda q: q[2]):
if point[3] == "main":
latnum = 0
pointshape = point[0].firstPoint
# Création du fichier
newfile = str_outputfolder + "\\zone" + str(point[1]) + ".bci"
# Enregistrement des coordonnées pour le point source
filebci = open(newfile, 'w')
filebci.write("P\t" + str(int(pointshape.X)) + "\t" +
str(int(pointshape.Y)) + "\tQVAR\tzone" +
str(point[1]) + "\n")
filebci.close()
if point[3] == "lateral":
pointshape = point[0].firstPoint
latnum += 1
newfile = str_outputfolder + "\\zone" + str(point[1]) + ".bci"
# Enregistrement des coordonnées et du débit pour le point source
filebci = open(newfile, 'a')
filebci.write("P\t" + str(int(pointshape.X)) + "\t" +
str(int(pointshape.Y)) + "\tQVAR\tzone" +
str(point[1]) + "_" + str(latnum) + "\n")
filebci.close()
# Ajout de la zone de sortie au .bci
bcipointcursor = arcpy.da.SearchCursor(
save_outbci,
["zoneid", "side", "lim1", "lim2", "side2", "lim3", "lim4", "SHAPE@"])
for point in bcipointcursor:
newfile = str_outputfolder + "\\zone" + str(point[0]) + ".bci"
filebci = open(newfile, 'a')
filebci.write(point[1] + "\t" + str(point[2]) + "\t" + str(point[3]) +
"\tHVAR\thvar")
if str(point[4]) != "0":
filebci.write("\n" + str(point[4]) + "\t" + str(point[5]) + "\t" +
str(point[6]) + "\tHVAR\thvar")
filebci.close()
# Création des fichiers .par et conversion des rasters en fichiers ASCII (un par point source comme il n'y a qu'un seul point d'entrée par simulation)
for segment in dictsegmentsin.values():
for point in sorted(segment, key=lambda q: q[2]):
if point[3] == "main":
arcpy.Clip_management(
r_width, "#", str_zonesfolder + r"\wzone" + str(point[1]),
str_zonesfolder + "\\zone" + str(point[1]), "#", "NONE",
"MAINTAIN_EXTENT")
arcpy.Clip_management(
r_zbed, "#", str_zonesfolder + r"\dzone" + str(point[1]),
str_zonesfolder + "\\zone" + str(point[1]), "#", "NONE",
"MAINTAIN_EXTENT")
arcpy.Clip_management(
r_manning, "#",
str_zonesfolder + r"\nzone" + str(point[1]),
str_zonesfolder + "\\zone" + str(point[1]), "#", "NONE",
"MAINTAIN_EXTENT")
arcpy.RasterToASCII_conversion(
str_zonesfolder + "\\zone" + str(point[1]),
str_outputfolder + "\\zone" + str(point[1]) + ".txt")
arcpy.RasterToASCII_conversion(
str_zonesfolder + "\dzone" + str(point[1]),
str_outputfolder + "\\dzone" + str(point[1]) + ".txt")
arcpy.RasterToASCII_conversion(
str_zonesfolder + "\wzone" + str(point[1]),
str_outputfolder + "\\wzone" + str(point[1]) + ".txt")
arcpy.RasterToASCII_conversion(
str_zonesfolder + "\\nzone" + str(point[1]),
str_outputfolder + "\\nzone" + str(point[1]) + ".txt")
arcpy.Delete_management(str_zonesfolder + r"\wzone" +
str(point[1]))
arcpy.Delete_management(str_zonesfolder + r"\dzone" +
str(point[1]))
arcpy.Delete_management(str_zonesfolder + r"\nzone" +
str(point[1]))
arcpy.Clip_management(
r_mask, "#", str_zonesfolder + r"\mzone" + str(point[1]),
str_zonesfolder + "\\zone" + str(point[1]), "#", "NONE",
"MAINTAIN_EXTENT")
arcpy.RasterToASCII_conversion(
str_zonesfolder + "\mzone" + str(point[1]),
str_outputfolder + "\\mzone" + str(point[1]) + ".txt")
arcpy.Delete_management(str_zonesfolder + r"\mzone" +
str(point[1]))
return