OUR FINAL VISUALIZATION SHOWS THE REAL FLOWS OF TRAFFIC REGARDING THE MAJOR AIRPORTS OF SPAIN: BARCELONA, MADRID AND MALAGA, INCLUDING ALL THE ARRIVALS AND DEPARTURES FROM THEM TO THE REST OF THE COUNTRY AND THE WORLD.
https://visit.impure.com/space/#/caroliagui/Aguirre_Caltabiano_Iqbal_FinalProjectEmbed
As data source we used the Official information given by each one of the Airports, in which it’s clearly detailed each one of the flights. We gathered information about all the arrivals and departures in order to have a complete schedule that is representative for the general activity of the airport. We processed that information in order to have CSV usable files for the Impure Workspace. To begin with the Workspace, we downloaded all the information from the Barcelona Airport webpage, the arrivals and departures real schedules. Then we had to organize it as CSV files in order to load them into the workspace. After filtering the tables, with getElementfromList we got the Airport codes and names. We connect them to the GeocoderMultiGoogleMaps to get their real coordinates(x,y) with getPropertiesValuesfromList and then we used ListAssembler5 and save a file with the data. We load the files using the Switch5 module to be able to change between the different individual Airports’ information and the General information. We used the getSubTable and getElementFromList to get the lists of the Destination and Origin Airports to use them in the Visualizators. Then we used the TransformationGeo modules to transform the data into the Polygon2DSimpleVisualizator2 where it is projected using also the GoogleMapsVisor as the base for it. Then we added the Network2D Visualizator to combine the coordinates we had and build a Network between the Origin and Destiny Cities. We used ‘Polygon2Dsimple visualizator’ to feed the data to another visualizator called ‘BitmapDataSimpleVisualizator’ . We connected ‘Polygon2Dsimple visualizator’ with the operator ‘BitmapDataGaussianBlur’ along with ‘ApplyColorScaleOnChannel’ and ‘CreateColorScale’ (having the color scheme of temperature). Then we connected the network information through the operator ‘ApplyColorScaleOnChannel’ with the ‘BitmapDataSimpleVisualizator’. This is actually giving a more clear image of the flight intensity among the concerned places. So we got the data on 3 types of visualizators. The ‘polygon2Dsimple visualizator’ is giving us the locations where we can choose the places by clicking each point. The ‘Network2D’ is giving us the networks of lines with varying thicknesses responding to the flight frequencies between the two concerned places. The ‘GoogleMapVisor’ is giving us the image of world map. The maps were adjusted to the same size to overlap them to have all the visualizations into one single image which is actually representing the real time data.