Mr. Rasmussen,
Thanks for the offer! I definitely need help. :)
I looked, and failed to find, the layer without unit#. That's what I thought
would be preferred. Thanks
for spotting it. I don't see why we would search for a specific unit on a map.
When I navigate, I would
just want directions to "1234 NW 33rd Ct", not "1234 NW 33rd Ct Apt 6". If you
know
of a good reason for the unit #s, let me know. It doesn't matter to me, since
I don't need navigation in
Miami. :D
If you think 600k points is big, imagine the building footprints. :) It's
available, if required. Heck, they
even make a 3d building layer available. But I don't think we'll enjoy the
size.
I knew the license is not a problem. However, I saved that email just in case
it comes up.
I'm going to read the info Mr. Juhász provided. Unfortunately, I'm way behind
here.
Also, I replied to all b/c I think that's what I'm supposed to do. However, I
don't want to 'bug' people on
the list. Hopefully, someone will let me know if this needs to go off-list.
(_8'()
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Wednesday, September 12, 2018 4:17 PM, Leif Rasmussen <354...@gmail.com>
wrote:
> Hi Mango,
> I have quite a lot of experience with address imports, and would love to help
> with Miami. I have visited Miami several times, and have grown a liking for
> it. Adding addresses there would be a real pleasure.
> There appears to be two address data sets - one with "addr:unit", and one
> without. The [one with "addr:unit"
> addresses](https://gis-mdc.opendata.arcgis.com/datasets/address-with-condo?geometry=-80.369%2C25.708%2C-80.365%2C25.709)
> has 1,166,445 points, and the [one
> without](https://gis-mdc.opendata.arcgis.com/datasets/eef6b33da60d47c0964387960c840eea_0?geometry=-80.274%2C25.715%2C-80.272%2C25.715)
> has 586,171 points. Both of these should be considered. I would suggest
> importing the one with condos, or "addr:unit" features if the quality is
> good. Otherwise, I think that the dataset without addr:unit should be
> imported.
> Also, the license seems OK. According to the [Miami-Dade County Buildings
> Import](https://wiki.openstreetmap.org/wiki/Miami-Dade_County_Large_Building_Import#Import%20Data),
> the license is public domain, which they claim is true of all government
> produced data in Florida.
> The only issue I see with the data is the size. My laptop took 5 minutes to
> open the address points (including addr:unit, so 1,166,445 nodes) and more
> than 20 minutes to edit a single key. This could be worked around, though,
> by splitting up the data.
> I created a [wiki page for the
> import](https://wiki.openstreetmap.org/wiki/Miami-Dade_County_Address_Import),
> which is a step of the [Import
> Guidelines](https://wiki.openstreetmap.org/wiki/Import/Guidelines). Sending a
> proposal to the local community and imports mailing list will also be needed.
> I hope that this import will end up working out!
> Leif Rasmussen
(_8'()
Sent with [ProtonMail](https://protonmail.com) Secure Email.
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Wednesday, September 12, 2018 4:17 PM, Leif Rasmussen <354...@gmail.com>
wrote:
> Hi Mango,
> I have quite a lot of experience with address imports, and would love to help
> with Miami. I have visited Miami several times, and have grown a liking for
> it. Adding addresses there would be a real pleasure.
> There appears to be two address data sets - one with "addr:unit", and one
> without. The [one with "addr:unit"
> addresses](https://gis-mdc.opendata.arcgis.com/datasets/address-with-condo?geometry=-80.369%2C25.708%2C-80.365%2C25.709)
> has 1,166,445 points, and the [one
> without](https://gis-mdc.opendata.arcgis.com/datasets/eef6b33da60d47c0964387960c840eea_0?geometry=-80.274%2C25.715%2C-80.272%2C25.715)
> has 586,171 points. Both of these should be considered. I would suggest
> importing the one with condos, or "addr:unit" features if the quality is
> good. Otherwise, I think that the dataset without addr:unit should be
> imported.
> Also, the license seems OK. According to the [Miami-Dade County Buildings
> Import](https://wiki.openstreetmap.org/wiki/Miami-Dade_County_Large_Building_Import#Import%20Data),
> the license is public domain, which they claim is true of all government
> produced data in Florida.
> The only issue I see with the data is the size. My laptop took 5 minutes to
> open the address points (including addr:unit, so 1,166,445 nodes) and more
> than 20 minutes to edit a single key. This could be worked around, though,
> by splitting up the data.
> I created a [wiki page for the
> import](https://wiki.openstreetmap.org/wiki/Miami-Dade_County_Address_Import),
> which is a step of the [Import
> Guidelines](https://wiki.openstreetmap.org/wiki/Import/Guidelines). Sending a
> proposal to the local community and imports mailing list will also be needed.
> I hope that this import will end up working out!
> Leif Rasmussen
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