def drawKMLsForUserCooccurenceGraph(minEdgeWeight=30):
kml = SpotsKML()
i=1
for edge in FileIO.iterateJsonFromFile(locationGraph):
if edge['w']>=minEdgeWeight: kml.addLine(getLocationPairs(edge['e']), description=str(edge['w'])); i+=1
if i==10000: break
kml.write(userBasedSpotsKmlsFolder+'%s.kml'%minEdgeWeight)
def writeClusterKML():
kml = SpotsKML()
outputKMLFile='%s/clusters.kml'%placesAnalysisFolder%place['name']
for data in FileIO.iterateJsonFromFile(placesUserClusterFeaturesFile%place['name']):
clusterId, color, features = data
kml.addLocationPointsWithTitles([(getLocationFromLid(f[0].replace('_', ' ')), f[2]) for f in features[:noOfFeatures]], color=color)
FileIO.createDirectoryForFile(outputKMLFile)
kml.write(outputKMLFile)
def writeUserClusterKMLs(place):
clustering = getUserClustering(place, place.get('k'))
colorMap = clustering[3]
for clusterId, details in sorted(getUserClusteringDetails(place, clustering).iteritems(), key=lambda k: int(k[0])):
kml = SpotsKML()
kml.addLocationPointsWithTitles([(getLocationFromLid(lid), unicode(name).encode('utf-8')) for lid, name, _ in details['locations'][:5]], color=colorMap[clusterId])
outputKMLFile=placesKMLsFolder%place['name']+'locations/userClusters/%s/%s.kml'%(str(clustering[0]), str(clusterId))
FileIO.createDirectoryForFile(outputKMLFile)
kml.write(outputKMLFile)
