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st...@gmail.com <st...@gmail.com> #2
Yes please :) Along with a more specific definition of how the Popular Times are determined (how much history? done by mobile device activity? check ins?)
ma...@google.com <ma...@google.com> #4
It already is Jeffrey, you can toggle by day on mobile or desktop
[Deleted User] <[Deleted User]> #5
Was there any resolution forth coming for this? Wouldn't it be better to distinguish the elevation type rather than terrain i.e how would an inland 'sea' be classified; for instance if you where in the Dead Sea, or Caspian Sea the elevation would be reported as a -ve value, but it denotes surface elevation rather than depth. I am considering using the Elevation API but this is a restriction that might be, although an edge case of sorts, a deal breaker.
an...@google.com <an...@google.com>
is...@google.com <is...@google.com>
sh...@google.com <sh...@google.com> #6
@r22, I think Jeff is referring to the ability to split popular times by day of week in the information released by the API, not the currently existing web GUI.
Maybe the info appears as a nested object? e.g. "popular times" > "day of week" > "hour of day" > traffic count
Maybe the info appears as a nested object? e.g. "popular times" > "day of week" > "hour of day" > traffic count
Description
In particular, when the service returns a negative elevation value, the best treatment in the application logic can vary depending on whether the queried location is land or sea.
For example, in calculating an angle of altitude from point A to point B, for use in line-of-sight applications, it is not meaningful to use a negative elevation that is below the sea-surface, but it is necessary to use the negative value for land locations (e.g. from the floor of Badwater Basin in Death Valley to the top of nearby Funeral Peak).
At present, it is not easily possible to distinguish land locations that lie below sea level from sea depth measurements/bathymetry. (I imagine that the underlying values that feed the Elevation API are sourced from different data sets, so that distinguishing land from sea might be doable on the basis of the source elevation measurement.)
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