101–110 of 122 posts
A few things I've noticed:
• The search could use some awareness about other names of locations. For example, München cannot be found, Munich can. Tübingen doesn't seem to exist at all (maybe too small).
• For people outside the US (yes, they exist) it'd also be nice to have a site-wide switch to metric. This then won't require you to have two charts of everything either (except snow coverage which doesn't seem to exist in metric).
• The legends for the charts look a lot like buttons, which can be a bit confusing at first. Maybe it's better to integrate the legend into the charts, e.g. maybe like http://hypftier.de/temp/2017-08-23_090140.png – would also save a bit of space; whitespace currently looks a bit haphazardly applied in general.
• The animation of the charts seems a bit pointless, considering that they're all below the fold anyway.
This is super interesting idea and something I'd reference a lot. The big question I have is what are your factors for deciding the best time to visit? I'd argue setting up the context is really important because weather is a major factor but it isn't the only one. There are times of year that have cultural significance as well as annual events, etc. I like the safety advisory aspect and the population of travelers.…
"As of 6/22/2017 there are travel warnings for the United Kingdom; exercise a high degree of caution." I thought this was an error at first, but the .ca travel advice is indeed to be extra careful visiting the UK. Spain, meanwhile: "Exercise normal security precautions". Huh. I guess it's only as good as the data sources :)
Then again, I recently moved to Brussels and I'm planning an impromptu trip to Barcelona thanks to the falling flight prices, so maybe I'm just suicidal :)
This is super interesting idea and something I'd reference a lot. The big question I have is what are your factors for deciding the best time to visit? I'd argue setting up the context is really important because weather is a major factor but it isn't the only one. There are times of year that have cultural significance as well as annual events, etc. I like the safety advisory aspect and the population of travelers.…
> what are your factors for deciding the best time to visit? I used almost exclusively weather data. My scoring process is linked to near the date ranges I provide, so hopefully that is clear. I would love to make better use of the number of people visiting. I had a really hard time getting additional travel data for what times are busiest, but I did my best with Google data. I'd even be willing to pay for tourist da…
For example, there's a report on the rate of occupation of hotels per fortnight in Barcelona, but it's a PDF and it's not even in Spanish (Castellano), but in Catalan, the regional language: https://www.diba.cat/documents/74348/115651101/Informe+Flaix...
Earlier quoted context omitted.
http://offpeak.io the project my team has been working on aims to solve this exact problem. We help travelers avoid peak season, and peak dates that are often associated with large business conferences.
It seems to be missing all but the largest cities. My guess is that you are manually adding data which would mean higher quality at the cost of general usefulness.
This is super interesting idea and something I'd reference a lot. The big question I have is what are your factors for deciding the best time to visit? I'd argue setting up the context is really important because weather is a major factor but it isn't the only one. There are times of year that have cultural significance as well as annual events, etc. I like the safety advisory aspect and the population of travelers.…
> what are your factors for deciding the best time to visit? I used almost exclusively weather data. My scoring process is linked to near the date ranges I provide, so hopefully that is clear. I would love to make better use of the number of people visiting. I had a really hard time getting additional travel data for what times are busiest, but I did my best with Google data. I'd even be willing to pay for tourist da…
> Tourism graph is based on Google searches for services used by tourists relative to the rest of the year. That's a pretty clever way to go about it. I hope/suppose that the sampling bias isn't correlated with time-of-year somehow.
OP, if you want to improve this, could you get some actual tourist data and experiment a bit with which other metrics (various Google searches - something like taxi services might be more accurate to estimate how many people are actually traveling in the country at the time, hotel prices, plane ticket prices, etc) best predict the tourist numbers?
Eg, for Yosemite, it describes how during summer it is rediculosy busy & hot, so you might prefer to go during the shoulder months, but then you risk having some of the park closed for snow. So, "best weather is subjective".
Likewise, there are many locations, such as Thailand, where the best time to travel is winter. It's too hot in the summer!!
