def generateSegments(self, nodes, computeDistance, proj4):
'Generate segment candidates connecting nodes to the existing grid'
# Prepare
segmentFactory = network.SegmentFactory(nodes, computeDistance, proj4)
# Use more efficient CandidateManager for candidate segments
candidateManager = CandidateManager(segmentFactory.getNodes(), computeDistance)
net = network.Network(segmentFactory, useIndex=True)
networkRelativePath = self.get(ExistingNetworks)
# If we have existing networks,
if networkRelativePath:
# Reconstruct path
networkArchivePath = os.path.join(self.state[0].getBasePath(), networkRelativePath)
if not os.path.exists(networkArchivePath):
raise variable_store.VariableError('Expected ZIP archive containing shapefile for existing networks')
isValid, networkPath = store.unzip(networkArchivePath, 'shp')
if not isValid:
raise variable_store.VariableError('Could not find shapefile in ZIP archive for existing networks')
# Load network
networkProj4, networkGeometries = geometry_store.load(networkPath)[:2]
networkCoordinatePairs = network.yieldSimplifiedCoordinatePairs(networkGeometries)
# Prepare
transform_point = geometry_store.get_transform_point(networkProj4, proj4)
# Load existing network as a single subnet and allow overlapping segments
net.addSubnet(network.Subnet([segmentFactory.getSegment(transform_point(c1[0], c1[1]), transform_point(c2[0], c2[1]), is_existing=True) for c1, c2 in networkCoordinatePairs]))
# Add candidate segments that connect each node to its
# projection on the existing network
projectedTuples = net.projectEfficient(candidateManager.nodes)
candidateManager.extendNodeTuples(projectedTuples)
return candidateManager, net
def generateSegments(self, nodes, computeDistance, proj4):
'Generate segment candidates connecting nodes to the existing grid'
# Prepare
segmentFactory = network.SegmentFactory(nodes, computeDistance, proj4)
# Use more efficient CandidateManager for candidate segments
candidateManager = CandidateManager(segmentFactory.getNodes(),
computeDistance)
net = network.Network(segmentFactory, useIndex=True)
networkRelativePath = self.get(ExistingNetworks)
# If we have existing networks,
if networkRelativePath:
# Reconstruct path
networkArchivePath = os.path.join(self.state[0].getBasePath(),
networkRelativePath)
if not os.path.exists(networkArchivePath):
raise variable_store.VariableError(
'Expected ZIP archive containing shapefile for existing networks'
)
isValid, networkPath = store.unzip(networkArchivePath, 'shp')
if not isValid:
raise variable_store.VariableError(
'Could not find shapefile in ZIP archive for existing networks'
)
# Load network
networkProj4, networkGeometries = geometry_store.load(
networkPath)[:2]
networkCoordinatePairs = network.yieldSimplifiedCoordinatePairs(
networkGeometries)
# Prepare
transform_point = geometry_store.get_transform_point(
networkProj4, proj4)
# Load existing network as a single subnet and allow overlapping segments
net.addSubnet(
network.Subnet([
segmentFactory.getSegment(transform_point(c1[0], c1[1]),
transform_point(c2[0], c2[1]),
is_existing=True)
for c1, c2 in networkCoordinatePairs
]))
# Add candidate segments that connect each node to its
# projection on the existing network
projectedTuples = net.projectEfficient(candidateManager.nodes)
candidateManager.extendNodeTuples(projectedTuples)
return candidateManager, net
def generateSegments(self, nodes, computeDistance, proj4):
'Generate segment candidates connecting nodes to the existing grid'
# Prepare
segments = []
segmentFactory = network.SegmentFactory(nodes, computeDistance, proj4)
networkNodes = segmentFactory.getNodes()
net = network.Network(segmentFactory)
networkRelativePath = self.get(ExistingNetworks)
# If we have existing networks,
if networkRelativePath:
# Reconstruct path
networkArchivePath = os.path.join(self.state[0].getBasePath(), networkRelativePath)
if not os.path.exists(networkArchivePath):
raise variable_store.VariableError('Expected ZIP archive containing shapefile for existing networks')
isValid, networkPath = store.unzip(networkArchivePath, 'shp')
if not isValid:
raise variable_store.VariableError('Could not find shapefile in ZIP archive for existing networks')
# Load network
networkProj4, networkGeometries = geometry_store.load(networkPath)[:2]
networkCoordinatePairs = network.yieldSimplifiedCoordinatePairs(networkGeometries)
# Prepare
transform_point = geometry_store.get_transform_point(networkProj4, proj4)
# Load existing network as a single subnet and allow overlapping segments
net.subnets.append(network.Subnet([segmentFactory.getSegment(transform_point(c1[0], c1[1]), transform_point(c2[0], c2[1]), is_existing=True) for c1, c2 in networkCoordinatePairs]))
# Add candidate segments that connect each node to its projection on the existing network
segments.extend(net.project(networkNodes))
# Prepare matrix where the rows are nodes and the columns are node coordinates
networkNodeMatrix = np.array([node.getCoordinates() for node in networkNodes])
# Define get_nearestNeighbors()
if computeDistance == network.computeEuclideanDistance:
kdTree = KDTree(networkNodeMatrix)
else:
earthRadiusInMeters = 6371010
kdTree = Arc_KDTree(networkNodeMatrix, radius=earthRadiusInMeters)
get_nearestNeighbors = functools.partial(kdTree.query, k=self.get(MaximumNearestNeighborCount))
# For each node,
for node1 in networkNodes:
# Get its nearest neighbors
nodeIndices = get_nearestNeighbors(node1.getCoordinates())[1]
# Add candidate segments from the node to each of its nearest neighbors
for node2Coordinates in networkNodeMatrix[nodeIndices]:
# Let getSegment() compute segment weight in case we want to customize how we weight each segment
segments.append(segmentFactory.getSegment(node1.getCoordinates(), tuple(node2Coordinates)))
# Return
return segments, net