Plan your holiday with weather stats

Plan your holiday with weather stats

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.

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 includes; inclusion of average flight cost (source: skyscanner scrape or similar?), danger of country (scrape government travel advice?), cost of stay (hotel + restaurant costs?), number and rating of activities (scrape tripadvisor?)

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Posted Apr 11, 2014
 
Views: 1194
Tags Climate, climate change, excel, Maps, python, Weather, World Bank
Tools Excel, IPython, Tableau
Data
 
 
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