Added following files: cameras positions (kml,csv and geojson), street...

Added following files: cameras positions (kml,csv and geojson), street coordinates (csv, geojson), background for Paris map and first script that plots cameras on the map

plotCameras.py

+# Libraries
+
+import csv
+import matplotlib.pyplot as plt
+
+# Variables
+
+pathOfCameraFile = "/Users/lml/Documents/lqdn/mappingetalgoantisurveillance/2018-11-15-export-cameras-pvpp.kml.csv"
+pathOfMapBackground = "parisMap.png"
+
+cameraPositions = [] # List is of the form [latitude,longitude]
+allLongitudes = []
+allLatitudes = []
+maxLatitude = 0
+minLatitude = 10000000
+maxLongitude = 0
+minLongitude = 10000000
+eliminateFirstRow = 1 # Deal (poorly) with the header
+
+
+# Begin
+
+with open(pathOfCameraFile) as openedCsvFile:
+	readedFile = csv.reader(openedCsvFile,delimiter=';')
+	for row in readedFile:
+
+
+		if eliminateFirstRow == 0:
+			
+
+			longitude = float(row[-3]) 
+			latitude = float(row[-2]) 
+
+			minLatitude = min(latitude,minLatitude)
+			maxLatitude = max(latitude,maxLatitude)
+			minLongitude = min(longitude,minLongitude)
+			maxLongitude = max(longitude,maxLongitude)
+
+			allLongitudes.append(longitude)
+			allLatitudes.append(latitude)
+			cameraPositions.append([latitude,longitude])
+
+		else:
+			eliminateFirstRow = 0
+
+	boundingBox = (minLongitude,maxLongitude,minLatitude,maxLatitude)
+	print (boundingBox)
+
+
+	# plot the cameras
+	fig, ax = plt.subplots()
+	ax.scatter(allLongitudes, allLatitudes, color='red',s=0.8, marker = r'$\bullet$')
+	plt.axis('off')
+
+	imgBackground = plt.imread(pathOfMapBackground)
+	ax.imshow(imgBackground, extent=[minLongitude,maxLongitude , minLatitude, maxLatitude])
+
+	# show the map
+	resolution_value = 1200
+	plt.savefig("myImage.png", format="png", dpi=resolution_value)
+	plt.show()
+