Wednesday, February 03, 2016
But I was still surprised to read someone suggesting they go faster in the winter. The only time this happens to me is when I’m out during a windy winter day and catch a nice tailwind.
But I thought I’d check the Strava data from my site. Which months have the most KOMs? Checking that removes at least one variable, different roads. First I had to update my site to store the KOM date for each segment then I had to grab some data. I chose segments in the UK, removing those that were less than 0.5km (too easily messed up with dubious GPS data) and removing segments with less than 100 riders (not competitive enough) and this is what I got.
This is a fairly small sample but it certainly suggests the summer months are the best time to grab a KOM, which also suggests the summer is the fastest time of the year for cycling. But then a thought crossed my mind, people tend to cycle more during the summer months, so perhaps it’s unsurprising that most KOMs are achieved then. So my conclusion is that I still have no idea and more research is required. And there are too many variables…
Monday, February 01, 2016
Thursday, December 31, 2015
Saturday, November 28, 2015
Tuesday, November 24, 2015
Sunday, November 22, 2015
For some reason, Strava actually trust the data that comes from their users. More specifically they use the elevation data from the user’s ride when the user creates a segment. From a technical point of view, this is definitely the easiest thing to do, but unfortunately GPS devices do occasionally lose their mind, so the data can be a mess. This can lead to garbage segment data, like this. A glance at the elevation profile makes it obvious that something is amiss. This dodgy data then means any derived data is also dubious, such as the climb category and the VAM numbers. The KOM rider on this particular segment has a VAM of 9,992 which is over 5 times what a drugged up Lance Armstrong could achieve. Even my average VAM on category 4 climbs is over 1,000 which suggests I could make a good fist of keeping up with a bunch of professional cyclists. Which I couldn’t. Ever.
In an ideal world, Strava would fix up these dodgy segments in some way. One fix would be to average out all the elevation data from every rider who has ridden a segment. Alternatively, they could use the elevation data from one of the mapping services. Finally, they could make it easier to report bad data.
So whilst we wait for Strava to fix this issue, I thought I’d have a play with the second option. My Strava segment search tool now has the ability to view segments as well as view them on Strava. This is what the example segment looks like. It use Google Maps to calculate the elevation of the segment and adds that to the elevation profile, along with calculated statistics.
Monday, November 09, 2015
As a prelude to some other work I might one day get round to, I’ve uploaded a list of UK train stations to my website. It comes in CSV and KML flavours, with the KML highlighting the busiest stations (mostly in the South East, as if you need to ask).