I had another look at the LPI resource and would like to propose a way of 
importing address data from LPI, because clearly sitting there for months on 
end armchair mapping the LPI Base Map as a raster underlay in JOSM is 
incredibly inefficient. Also, given that I am proposing an import, I would 
really appreciate community feedback to make sure I don't do anything wrong. 
First, I've looked at these two pages on usage of the LPI base map:

https://wiki.openstreetmap.org/wiki/Contributors#Australia
https://wiki.openstreetmap.org/wiki/Attribution/New_South_Wales_Government_Data

It seems to me that we can use any of the data from 
http://spatialservices.finance.nsw.gov.au/mapping_and_imagery/lpi_web_services/access_lpi_web_services
 to put data into OSM as long as we add it to that contributors page and note 
the LPI as a source. Specifically, we want to import a node that contains 
addr:housenumber and addr:street for every single property in NSW.

Unfortunately it seems as though their API doesn't have any function to give a 
DB dump of addresses inside a bounding box. However it does have two functions, 
one which allows you to query a coordinate and it'll tell you what is the 
closest address at that point at a screen resolution (slightly archaic, yes), 
and another function which allows you to submit an address and it'll tell you 
what the government thinks is the centroid of the property with that address. 
So if you whack a bunch of points in JOSM that are within the bounds of a 
property based off the LPI NSW Base Map as a raster layer in JOSM, you can do 
Edit->Copy Coordinates in JOSM, dump it in a file, and use a script I wrote 
which will query the LPI web services to find the address, then query it again 
to find the proper centroid lat/long, then create a CSV of points and addresses 
which you can import into JOSM. Here's the script with sample input and sample 
output:

https://gist.github.com/Moult/5821c74fb792b7afa5d758aebea68e40

... this is the changeset I produced with this small test sample:

https://www.openstreetmap.org/changeset/59909707

With this method I reckon you can quite quickly and accurately import addresses 
for a suburb. Note that this only imports nodes. It is up to somebody else to 
draw buildings and so on. Note that this uses two web services, the NSW Address 
Location Service and the NSW Property Service. The former is already credited 
in the contributors page, but the latter is not yet - it will have to be added, 
I suspect.

Looking forward to any feedback!

Dion Moult

‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On June 17, 2018 3:14 PM, Daniel O'Connor <daniel.ocon...@gmail.com> wrote:

> For knowing "whats mapped" at a high level, I like http://qa.poole.ch - I 
> believe it has filters for unmapped addresses.
>
> On the ground stuff - streetcomplete does really well at prompting for things 
> without address, highly recommend.
>
> Setting up a task manager instance; I reckon it could make a lot of sense for 
> us as a community. We seem to be a small group who punch above our weight in 
> terms of how spread out we are but have much we have mapped.
> Alternatively, maproulette tasks.
>
> It seems to work well for US imports of address/buildings/etc; and its 
> reasonable to expect that:
> - One day; the gnaf will be suitable for import or
> - LPI Basemap NSW addresses or otger data.gov.au imports for an entire 
> town/area/etc make sense.
> - There will be communities within the AU mapping crowd with focuses 
> (camping; cycling; tourism; public transport spring to mind)
>
> Looking at https://github.com/hotosm/tasking-manager/blob/develop/README.md 
> it seems like python/postgres are the main server hosting requirements.
>
> On Sun, 17 Jun. 2018, 11:17 am Dion Moult, <d...@thinkmoult.com> wrote:
>
>> Wow, seems a little overkill to put the task there where it seems the 
>> objective is for humanitarian needs :) Australian house addresses are hardly 
>> humanitarian in nature :)
>>
>> Dion Moult
>>
>> ‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
>> On June 17, 2018 9:30 AM, Phil Wyatt <p...@wyatt-family.com> wrote:
>>
>>> You could put a project up on the HOT Task manager as a low priority and 
>>> then send folks the link
>>>
>>> https://tasks.hotosm.org/contribute?difficulty=ALL
>>>
>>> Cheers - Phil,
>>> On the road with his iPad
>>>
>>> On 16 Jun 2018, at 10:29 pm, Dion Moult <d...@thinkmoult.com> wrote:
>>>
>>>> As a continuation of this thread just wondering if there was a way to 
>>>> divide up Sydney into a grid and automatically check the progress of 
>>>> whether that zone has been mapped or not. Is there a standard approach for 
>>>> this?
>>>>
>>>> Dion Moult
>>>>
>>>> -------- Original Message --------
>>>> On 6 Jun 2018, 09:39, Warin < 61sundow...@gmail.com> wrote:
>>>>
>>>>> On 06/06/18 08:51, Dion Moult wrote:
>>>>>> Thanks Andrew et all,
>>>>>>
>>>>>> Yes, I have used the ESRI imagery layer. Thanks for the heads up of the 
>>>>>> LPI base map. Before I go too far, can one of you please look at the 
>>>>>> work I've done so far if I'm doing things correctly? Here is a small 
>>>>>> sample in the suburb of Epping that I have traced houses and added 
>>>>>> addresses:
>>>>>>
>>>>>> https://www.openstreetmap.org/#map=18/-33.78071/151.06628
>>>>>>
>>>>>> In that scenario I did not trace off the LPI imagery, but instead traced 
>>>>>> off ESRI. I noticed if I enable the LPI imagery, the houses don't line 
>>>>>> up. Should this be fixed? If so, what's the best way?
>>>>>
>>>>> Any imagery can have a 'offset' from where it should be. And that offset 
>>>>> will vary as you go up and down hills.
>>>>>
>>>>> The LPI Imagery has much better resolution and less parallax error than 
>>>>> the other sources .. I prefer it to any other images for its accuracy.
>>>>>
>>>>> That said it is usefull to check with other images for more up to date 
>>>>> things. I found in Coffs Harbour that the DigitalGlobe stuff is more 
>>>>> current.
>>>>>
>>>>> I'll leave others to comment on that address stuff.. no expert on that 
>>>>> (yet). :)
>>>>>
>>>>> _______________________________________________
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>>>>> Talk-au@openstreetmap.org
>>>>> https://lists.openstreetmap.org/listinfo/talk-au
>>>
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