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Plan your holiday with weather stats

By on Mar 11, 2014 in Projects | 0 comments

If you love travelling like me and there’s a world of options, you may start wondering “where is a nice place to travel this time of year?”. And by ‘nice’, my first thought from living in a mostly cold and wet country is to find a warm and dry paradise. Good global climate data is not easy to find and is often incomplete (most focus on the US), doesn’t cover many metrics, or in odd formats which require special software. After a long search I managed to find some reliable and readily available weather data thanks to the world bank  (who also provide the data for great projects such as gap finder) and produced the visualisation below with a combination of iPython, the World Bank API, Excel (and some data cleansing) and Tableau (with it’s great mapping capabilities). Since this is based on current data and projections, you can also see the effects of global climate change (I’ve deliberately avoiding Global Warming since, as you’ll see some places will be cooler, albeit most are indeed warmer) for 2065 and 2100. Two main factors are considered: Max temp Dryness How hot is it. Research shows that the temperature range most tourists looking for a beach holiday is between 27 and 32C. This is shown on the map as ‘ideal’ (reference here). Any temperature below 0C (V.Cold) or above 40C (V.Hot) is also noted. Figures shown are monthly average max temperatures. How wet it is. Data used here is a the number of days between precipitation of 10mm. 2 days or less is “wet”. If you’re only on holiday a couple of days, chances are you don’t want a heavy shower on one! Clicking on a country will direct you to some great tours run by Contiki in the area. For the next stage of this project, I’d like to find collaborators to help me geo-code this (i.e. get the longitude and latitude of the centre point of the basin). Get in touch on the contact page if you’re interested and feel you have the right skills. This will provide more detail for areas such as the USA. Other potential extensions include; inclusion of average flight cost (source: skyscanner or similar?), danger of country (government travel advice), cost of stay (hotel + restaurant costs?). Learn About...