Panasonic LX100 at an effective 24mm — 1/500 sec, f/5.6, ISO 200 — map & image data — nearby photos
taken while riding at 20 kph (12 mph)
As I mentioned in “Confused Kyoto Cherry Trees Bloom Five Months Early”, Paul Barr and I rode our bikes down to Osaka from Kyoto. It's about 50km each way, so the round trip was about 100km (62mi) total.
Here's our trip on my cycling heatmap.
I'd made the same trip by myself earlier in the week, and written how windy it was for much of the day, but the wind during the trip down with Paul was by far the strongest sustained winds I'd ever ridden a bicycle in, on par with a medium-sized typhoon. It was just ridiculous. I made a short video trying to illustrate the wind:
It's just as well that we were planning on taking it slowly, because the wind left no other choice. It was Paul's second “real” bike ride, the first having been about 66km (41mi) with lots of mountains during this ride during NORU Kyoto's second social ride (pretty much a repeat of the first ride that I'd written about two weeks ago).
Panasonic LX100 at an effective 29mm — 1/2500 sec, f/2.1, ISO 200 — map & image data — nearby photos
taken while riding at 23 kph (14 mph)
I wrote about these stupid gates the first time I rode to Osaka.
Panasonic LX100 at an effective 24mm — 1/800 sec, f/1.7, ISO 200 — map & image data — nearby photos
and slightly protected from the wind
taken while riding at 36 kph (22 mph)
Panasonic LX100 at an effective 24mm — 1/16000 sec, f/1.7, ISO 200 — map & image data — nearby photos
taken while riding at 18 kph (11 mph)
Panasonic LX100 at an effective 75mm — 1/2000 sec, f/2.8, ISO 200 — map & image data — nearby photos
taken while riding at 18 kph (11 mph)
Panasonic LX100 at an effective 24mm — 1/400 sec, f/6.3, ISO 200 — map & image data — nearby photos
taken while riding at 22 kph (13 mph)
Panasonic LX100 at an effective 24mm — 1/200 sec, f/6.3, ISO 200 — map & image data — nearby photos
taken while riding at 11 kph (7 mph)
Panasonic LX100 at an effective 25mm — 1/500 sec, f/5.6, ISO 200 — map & image data — nearby photos
photo by Paul Barr
Panasonic LX100 at an effective 24mm — 1/320 sec, f/5.6, ISO 200 — map & image data — nearby photos
taken while riding at 15 kph (10 mph)
Panasonic LX100 at an effective 24mm — 1/125 sec, f/5.6, ISO 250 — map & image data — nearby photos
of suspect quality
Panasonic LX100 at an effective 24mm — 1/125 sec, f/5.6, ISO 1600 — map & image data — nearby photos
at least it was warm
Panasonic LX100 at an effective 29mm — 1/400 sec, f/5.6, ISO 200 — map & image data — nearby photos
amid much calmer winds
Panasonic LX100 at an effective 24mm — 1/125 sec, f/8, ISO 640 — map & image data — nearby photos
the road had apparently diverged earlier in the yellow wood
taken while riding at 9 kph (6 mph)
Back in Kyoto, almost home, we came across a sign on the bicycle path we'd noted earlier:
Panasonic LX100 at an effective 52mm — 1/640 sec, f/2.8, ISO 200 — map & image data — nearby photos
for Cafe Morning Glory
Panasonic LX100 at an effective 37mm — 1/160 sec, f/5.6, ISO 200 — map & image data — nearby photos
down the slope, park bike at A-frame in lot, then across street to cafe
Panasonic LX100 at an effective 24mm — 1/40 sec, f/8, ISO 3200 — map & image data — nearby photos
coffee + choco-bannana crepe
The coffee and crepe were both very good and much more than we expected for the ¥1,000 ($8.15). Map links are under the photos... highly recommended if you're traveling by and want a snack. They just opened last month.
Panasonic LX100 at an effective 41mm — 1/1250 sec, f/2.5, ISO 200 — map & image data — nearby photos
taken while riding at 26 kph (16 mph)
We'd left Paul's hotel at about 8:30 in the morning, and returned at about 4:30 in the afternoon, just before sunset (4:46). Not bad for his second real ride.
Hello! Could you write a post about that heatmap? I’d be interested in creating something like that for local MTB routes, but I’m not sure where to start. Or was the heatmap something you created completely “in-house” for you only?
It’s something I built for myself using a SQL database locally, and a bunch of programs to massage and prepare data for display using Google Maps. Strava will build a heat map of your rides if you’re a paying member (which I am), but I wanted something more integrated with my blog. —Jeffrey