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Top landmarks in Vienna

LBS, TU Wien, SS2013
by

Mariana Danielova

on 25 June 2013

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Transcript of Top landmarks in Vienna

Top landmarks of Vienna

Location Based Services
Mariana Danielová, Ieva Dobrāja, Franz Goerlich, Alice Rühl, Anna Vetter

Top landmarks of Vienna
Getting
data

Data
preparation

Visual
analysis

Evaluation
Conclusion
by analyzing Flickr photos
Thank you for your attention
Mariana Danielová, Ieva Dobrāja, Franz Goerlich, Alice Rühl, Anna Vetter
Getting data
download meta data via Flickr API

python script for meta data download
limitation of requests per time of Flickr API

use of provided data set (~150.000 records)


Data preparation
select POIs to define tags for data cleaning

extract only necessary columns
clip all data inside Vienna boundary
Selecting POIs
28 candidate POIs
according to travel guides and recommendations from the internet
delete rows where description AND tags are empty

define tags of all POIs for database queries

apply the tags on:
summer: May - September
winter: December - February
whole year

counting # of results for each POI depending on time span
Data cleaning
Visual analysis
visualize the results = top landmarks
Main aim
Results
graphs
maps with POIs
heat maps
interactive graphs
http://infogr.am/Top-10-landmarks-in-Vienna
Evaluation
Conclusion
our results were compared to bus tours offered by travel agencies:
Cityrama
Vienna Sightseeing
https://maps.google.at/maps/ms?msid=205067199620320918478.0004dfc2b8435ab13d4fb&msa=0&ll=48.201223,16.35006&spn=0.032437,0.084543
by analyzing Flickr photos
our results are similar to commercial travel agencies

it is possible to extract tourist recommendation and itineraries from Flikr

but it is very complicated to get the data
Full transcript