import common
from networking import TableConnectionCreator
with common.runtool(14) as parameters:
table, fromIDField, toIDField, interFields, places, placesIDField, placesFields, network, cost, searchDist, speedupStr, speedupDist, location, outName = parameters
interFieldList = common.parseFields(interFields)
placesFieldList = common.parseFields(placesFields)
link = TableConnectionCreator(table, [fromIDField, toIDField], places, placesIDField, location)
link.addLinkFields(interFieldList)
link.addPlaceFields(placesFieldList)
if common.toBool(speedupStr, 'geometry speedup switch'):
link.speedupOn(common.toFloat(speedupDist, 'maximum geometry speedup range'))
link.loadNetwork(network, cost, searchDist)
link.loadPlaces()
link.output(outName)
link.close()
import os, arcpy, numpy, math, common
with common.runtool(7) as parameters:
points, valueField, extent, cellSizeStr, decay, distLimitStr, output = parameters
decayCoef = common.toFloat(decay, 'distance decay exponent')
cellSize = common.toFloat(cellSizeStr, 'cell size')
## LOAD POINTS and their values
common.progress('loading points')
pointList = []
shapeFld = arcpy.Describe(points).ShapeFieldName
pointCur = arcpy.SearchCursor(points)
for row in pointCur:
geom = row.getValue(shapeFld).getPart()
val = row.getValue(valueField)
if val is not None:
pointList.append((geom.Y, geom.X, float(val)))
del row, pointCur, geom
## CREATE RASTER
# calculate row and column counts
extVals = [common.toFloat(val, 'extent value') for val in extent.split()]
extR = abs(extVals[3] - extVals[1])
extC = abs(extVals[2] - extVals[0])
rowCount = int(round(extR / float(cellSize)))
colCount = int(round(extC / float(cellSize)))
# bottom left pixel coordinates minus one pixel
curX = extVals[1] - cellSize / 2.0
curY = extVals[0] - cellSize / 2.0
defCurY = curY
import sys, os, arcpy, math
sys.path.append('.')
import common
TMP_CIRCPTS = 'tmp_circ'
TMP_ALLPOLY = 'tmp_voroall'
with common.runtool(7) as parameters:
common.progress('parsing attributes')
## GET AND PREPARE THE ATTRIBUTES
# obtained from the tool input
points, ptsIDFld, weightFld, normStr, transferFldsStr, tolerStr, outPath = parameters
location, outName = os.path.split(outPath)
normalization = math.sqrt(common.toFloat(normStr, 'normalization value') / math.pi)
tolerance = common.toFloat(tolerStr, 'positional tolerance value')
transferFlds = common.parseFields(transferFldsStr)
common.progress('creating weighting layer')
common.overwrite(True)
circLayer = common.createFeatureClass(os.path.join(location, TMP_CIRCPTS), crs=points)
inShpFld = arcpy.Describe(points).ShapeFieldName
circShapeFld = arcpy.Describe(circLayer).ShapeFieldName
arcpy.AddField_management(circLayer, ptsIDFld, common.outTypeOfField(points, ptsIDFld))
inCount = common.count(points)
common.progress('opening weighting layer')
inCur = arcpy.SearchCursor(points)
outCur = arcpy.InsertCursor(circLayer)
prog = common.progressor('weighting points', inCount)
pi2 = 2 * math.pi
for inRow in inCur:
mass = 0.0
area = 0.0
for zone in zonelist:
mass += zone.get('mass')
area += zone.get('area')
return mass / area
def delimitDensityAreals(zones, idFld, popFld, thrDens, minPop, targetFld, neighTable=None, doMergeEnclaves=True):
common.progress('loading areal data')
loader = loaders.RegionalLoader()
# common.progress('calculating zone densities')
areaFld = common.ensureShapeAreaField(zones)
inSlots = {'id' : idFld, 'mass' : popFld, 'area' : areaFld}
loader.sourceOfZones(zones, inSlots, targetClass=DensityZone)
loader.possibleNeighbourhood(neighTable, exterior=True)
loader.load()
zones = loader.getZoneDict()
common.progress('delimiting areals')
regionalize(zones, thrDens, minPop, doMergeEnclaves)
common.progress('saving data')
loader.addZoneOutputSlot('assign', targetFld, require=True)
loader.outputZones(zones)
if __name__ == '__main__':
with common.runtool(8) as parameters:
parameters[3] = common.toFloat(parameters[3], 'threshold density')
parameters[4] = common.toFloat(parameters[4], 'minimum areal population')
parameters[7] = common.toBool(parameters[7], 'enclave merge switch')
# import cProfile
# cProfile.run('delimitDensityAreals(*parameters)')
delimitDensityAreals(*parameters)
import arcpy, common
strLayer = 'tmp_i095'
relLayer = 'tmp_i043'
with common.runtool(7) as parameters:
interLayer, strengthFld, lengthFld, minStrengthStr, minRelStrengthStr, maxLengthStr, output = parameters
if minStrengthStr or maxLengthStr:
queries = []
if minStrengthStr:
common.progress('assembling absolute strength exclusion')
minStrength = common.toFloat(minStrengthStr, 'minimum absolute interaction strength')
queries.append(common.query(interLayer, '[%s] >= %g', strengthFld, minStrength))
if maxLengthStr:
common.progress('assembling absolute length exclusion')
maxLength = common.toFloat(maxLengthStr, 'maximum absolute interaction length')
queries.append(common.query(interLayer, '[%s] <= %g', lengthFld, maxLength))
common.selection(interLayer, strLayer, ' OR '.join(queries))
else:
strLayer = interLayer
if minRelStrengthStr:
common.progress('performing relative strength exclusion')
minRelStrength = common.toFloat(minRelStrengthStr, 'minimum relative interaction strength')
relQuery = common.query(interLayer, '[%s] > 0 AND ([%s] / [%s] * 1000) >= %g', lengthFld, strengthFld,
lengthFld, minRelStrength)
common.select(strLayer, relLayer, relQuery)
else:
relLayer = strLayer
common.progress('counting selected interactions')
common.message('%i interactions selected.' % common.count(relLayer))
common.progress('writing output')
popFld,
thrDens,
minPop,
targetFld,
neighTable=None,
doMergeEnclaves=True):
common.progress('loading areal data')
loader = loaders.RegionalLoader()
# common.progress('calculating zone densities')
areaFld = common.ensureShapeAreaField(zones)
inSlots = {'id': idFld, 'mass': popFld, 'area': areaFld}
loader.sourceOfZones(zones, inSlots, targetClass=DensityZone)
loader.possibleNeighbourhood(neighTable, exterior=True)
loader.load()
zones = loader.getZoneDict()
common.progress('delimiting areals')
regionalize(zones, thrDens, minPop, doMergeEnclaves)
common.progress('saving data')
loader.addZoneOutputSlot('assign', targetFld, require=True)
loader.outputZones(zones)
if __name__ == '__main__':
with common.runtool(8) as parameters:
parameters[3] = common.toFloat(parameters[3], 'threshold density')
parameters[4] = common.toFloat(parameters[4],
'minimum areal population')
parameters[7] = common.toBool(parameters[7], 'enclave merge switch')
# import cProfile
# cProfile.run('delimitDensityAreals(*parameters)')
delimitDensityAreals(*parameters)
import arcpy, common, randomize
with common.runtool(3) as parameters:
conns, sdStr, target = parameters
sd = common.toFloat(sdStr, 'standard deviation of position change')
common.progress('copying connections')
arcpy.CopyFeatures_management(conns, target)
shpFld = arcpy.Describe(target).ShapeFieldName
prog = common.progressor('randomizing', common.count(target))
rows = arcpy.UpdateCursor(target)
for row in rows:
newPt = randomize.randomizePoint(row.getValue(shpFld), sd)
row.setValue(shpFld, newPt)
rows.updateRow(row)
prog.move()
prog.end()
del row, rows
Decay rapidity correction coefficient q: %g
MODEL OUTPUT
Calculated parameters calibrated on real interaction length quantile strength sums
(empirical variogram fitting)
B parameter value: %g
G parameter value: %g
Quantiles (bins) used: %s
STATISTICAL ANALYSIS
'''
with common.runtool(7) as parameters:
interactions, strengthFld, lengthFld, quantileN, coefStr, outputFld, reportFileName = parameters
coef = common.toFloat(coefStr, 'distance-decay coefficient')
## ASSEMBLE INPUT
common.progress('counting interactions')
count = common.count(interactions)
if count == 0:
raise ValueError, 'no interactions found'
common.message('Found ' + str(count) + ' rows.')
common.progress('loading interactions')
modelInters = loaders.BasicReader(interactions, {'strength' : strengthFld, 'length' : lengthFld}).read()
# if i > 0:
# common.warning('%i interactions failed to load due to invalid value' % i)
## OPTIMALIZE
