<div dir="ltr">Seems sensible to me, I'd personally be shying away from imports without more knowledge of how that works. I was thinking about biting off very small chunks (even suburbs may be too big for this) and manually going over them, making sure to not overwrite existing buildings, and checking them individually to make sure they match up with relevant imagery. Is there a recommended workflow for this?<br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, 21 Oct 2020 at 15:02, Daniel O'Connor <<a href="mailto:daniel.oconnor@gmail.com">daniel.oconnor@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr">Just to flag a note of caution here - I'd recommend small scale evaluations <i>only</i> at this stage; or if you do bigger test imports; in a sandbox environment.<br><br><a href="https://wiki.openstreetmap.org/wiki/Sandbox_for_editing#Experiment_with_the_API_.28advanced.29" target="_blank">https://wiki.openstreetmap.org/wiki/Sandbox_for_editing#Experiment_with_the_API_.28advanced.29</a><br><br>If there is interest; later we can create a bunch of tasking manager jobs for importing small chunks at a time; plus write up the plan(s) as needed<br><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Oct 21, 2020 at 5:10 PM John Bryant <<a href="mailto:johnwbryant@gmail.com" target="_blank">johnwbryant@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div>Hi Warren, I've split it out into .osm files for each of the WA suburbs [1], see attached small example file for King's Park. Does something like this work? I can drag and drop them into JOSM, but I'm not 100% sure if they're formatted or attributed correctly to be most useful.</div><div><br></div><div>Cheers</div><div>John</div><div><br></div><div>[1] <a href="https://data.gov.au/dataset/ds-dga-6a0ec945-c880-4882-8a81-4dbcb85e74e5/details" target="_blank">https://data.gov.au/dataset/ds-dga-6a0ec945-c880-4882-8a81-4dbcb85e74e5/details</a></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, 21 Oct 2020 at 09:58, Warren <<a href="mailto:warren@specialtyfeeds.com.au" target="_blank">warren@specialtyfeeds.com.au</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
<div>
<div>Hi John</div>
<div>I use JOSM. Any file format that I
can bring in as a layer would be fine. I can then select, copy
and paste the tracings into an active layer for upload, checking
as I go. Certainly faster than tracing by hand.</div>
<div>I am not sure when JOSM get chocked by
file size, but say Perth or the South West of WA may be enough of
a reduction.</div>
<div>Thanks<br>
</div>
<div><br>
</div>
<div> On 21/10/2020 9:20 am, John Bryant
wrote:<br>
</div>
<blockquote type="cite">
<div dir="ltr">Hi Warren, I could probably help with this. What
would be a good size for a chunk? What would be a useful format?<br>
</div>
<br>
<div class="gmail_quote">
<div dir="ltr" class="gmail_attr">On Wed, 21 Oct 2020 at 07:21,
Warren <<a href="mailto:warren@specialtyfeeds.com.au" target="_blank">warren@specialtyfeeds.com.au</a>>
wrote:<br>
</div>
<blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Hi<br>
<br>
I am in the eastern suburbs of Perth where minimal buildings
have been <br>
traced. I would be happy to check trace data in my area, lets
face it <br>
hand tracing is not much fun and very time consuming. I
think some <br>
inaccuracies are acceptable, they can be modified as they
become apparent.<br>
The data at <a href="https://github.com/microsoft/AustraliaBuildingFootprints" rel="noreferrer" target="_blank">https://github.com/microsoft/AustraliaBuildingFootprints</a>
is <br>
much too large for me to handle.<br>
Is someone more skillful than me able to break this data set
into bite <br>
sized chunks?<br>
<br>
<br>
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