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waiting_times
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uncertainties
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[ 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.576812744140625, 19.57681...
[ 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.1256184577941895, 2.125618...
[19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.5(...TRUNCATED)
[2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.12(...TRUNCATED)
[19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.5(...TRUNCATED)
[2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.12(...TRUNCATED)
[19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.5(...TRUNCATED)
[2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.12(...TRUNCATED)
[19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.5(...TRUNCATED)
[2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.12(...TRUNCATED)
[19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.5(...TRUNCATED)
[2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.12(...TRUNCATED)
[19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.5(...TRUNCATED)
[2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.12(...TRUNCATED)
[19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.5(...TRUNCATED)
[2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.12(...TRUNCATED)
[19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.5(...TRUNCATED)
[2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.12(...TRUNCATED)
[19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.576812744140625,19.5(...TRUNCATED)
[2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.1256184577941895,2.12(...TRUNCATED)
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This dataset stores a numpy.array that pixels of a world map of estimated waiting_times for hitchhiking.

It contains a second numpy.array that provides uncertainties for these estimations.

These values can be used to produce a map like the following:

image/png

The splits of the dataset in data are named by the date they were created at and are based on all available data points that are available at this time.

New maps (splits) are created regularly by https://github.com/Hitchwiki/hitchhiking-heatmap-generator which build upon https://github.com/Hitchwiki/heatchmap.

Using the package https://github.com/Hitchwiki/heatchmap the maps stored here can be used in down-stream applications like https://github.com/Hitchwiki/hitchhiking.org.

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