[talk-au] Talk-au Digest, Vol 160, Issue 14

[Daniel O'Connor]

Just to flag a note of caution here - I'd recommend small scale evaluations
*only* at this stage; or if you do bigger test imports; in a sandbox
environment.

https://wiki.openstreetmap.org/wiki/Sandbox_for_editing#Experiment_with_the_API_.28advanced.29

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


On Wed, Oct 21, 2020 at 5:10 PM John Bryant <johnwbryant at gmail.com> wrote:

> 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.
>
> Cheers
> John
>
> [1]
> https://data.gov.au/dataset/ds-dga-6a0ec945-c880-4882-8a81-4dbcb85e74e5/details
>
> On Wed, 21 Oct 2020 at 09:58, Warren <warren at specialtyfeeds.com.au> wrote:
>
>> Hi John
>> 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.
>> 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.
>> Thanks
>>
>> On 21/10/2020 9:20 am, John Bryant wrote:
>>
>> Hi Warren, I could probably help with this. What would be a good size for
>> a chunk? What would be a useful format?
>>
>> On Wed, 21 Oct 2020 at 07:21, Warren <warren at specialtyfeeds.com.au>
>> wrote:
>>
>>> Hi
>>>
>>> I am in the eastern suburbs of Perth where minimal buildings have been
>>> traced.  I would be happy to check trace data in my area, lets face it
>>> hand tracing is not much fun  and very time consuming.  I think some
>>> inaccuracies are acceptable, they can be modified as they become
>>> apparent.
>>> The data at https://github.com/microsoft/AustraliaBuildingFootprints is
>>> much too large for me to handle.
>>> Is  someone more skillful than me able to break this data set into bite
>>> sized chunks?
>>>
>>>
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>>
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