daehon
commented
6 years ago - P.D: The “When is the best time to travel?” question is starting to be answered by Google. Introduce London in this “unknown” portal. Press “London travel Guide” and you can see expected weather for the next months (I don´t if these data are forecasts? records?). We can do this much better with ECMWF data, but maybe we will be more disruptive if we focus in helping people decide where the best place to travel considering weather and travel information is. If we have more time, we´ll try to improve what Google has already done. ;-)
OpenDataHack2018
Problem (short description, max 150 words)
OpendataHack2018 is going to be a fun but intense weekend. We all deserve vacations after this event. Where would you go? To the South of Europe that is supposed to be sunny but where it has been raining intensely last weeks? To visit a cool Central European capital but that have unbearable temperatures during last summers?
If climate is a key factor when you decide where you travel, join me and let's develop WHEWHE! The app that will help thousands of people decide WHEre and / or WHEn is the best place / time to travel.
Proposed solution (short description, max 200 words) Whewhe will combine climate data (seasonal forecasts) with hotel prices, flight information and other information suggesting destinations and timespams to travel. User will just introduce a few factors as: “I want to travel from this place, I have X euros and I´m looking for sunny weather. We may I go?” So we have to generate a workflow acquiring and combining data from different sources.
Data (what data do you need? what format?) We will combine data from travel and transport industry (mainly from Amadeus), and destinations (Yelp). We will acquire this using their APIs. Python scripts for cheapest destinations from an airport, hotel prices, etc. are ready. I have downloaded temperatures and precipitation from ECMWF.s seasonal forecasts, but we will try to obtain data of other important variables influencing travel experience : cloud cover, wind. We need to generate “user-friendly indicators” (rain probability, etc.) Some additional databases needed to combine all this (IATA codes, city coordinates, etc.) are also ready. Help me put all this together!!!
Team Me - role: Climate change impact researcher (intermediate level of English and python) Anyone - role: Web developer (fluent in django, web.py and other python frameworks will be ideal, but any framework/language will be perfect) Anyone - role: User experience (what decision factors can introduce the user?), business strategist (How can we monetize traffic?), travel enthusiasts (ideas are really welcome), etc.
Is your team incomplete and you need extra help? If so, please list below the roles needed: