def getGeoData(data):
if "geo" in data and data["geo"] != None:
return ("geo", data["geo"]["coordinates"])
elif "place" in data:
point = getCenterOfMass(data["place"]["bounding_box"]["coordinates"][0])
return ("bb", [point[1], point[0]])
def ParseGeoData(data):
if 'geo' in data and data['geo']!=None: return ('geo', data['geo']['coordinates'])
elif 'place' in data:
point = getCenterOfMass(data['place']['bounding_box']['coordinates'][0])
return ('bb', [point[1], point[0]])
def reducer(self, user, occurrences):
points = list(occurrences)
yield user, {'u': user, 'c': len(points), 'cm': list(getCenterOfMass(points)), 'rog': getRadiusOfGyration(points)}
def getMeanDistanceBetweenLids(_, llids):
meanLid = getCenterOfMass(llids,accuracy=ACCURACY)
return getMeanDistanceFromSource(meanLid, llids)
def getRadius(locations):
meanLid = getCenterOfMass(locations,accuracy=LATTICE_ACCURACY)
distances = [getHaversineDistance(meanLid, p) for p in locations]
_, upperBoundForDistance = getOutliersRangeUsingIRQ(distances)
return np.mean(filter(lambda d: d<=upperBoundForDistance, distances))
