Hi John,
I think this approach has merit.
Probably it would work if we take a similar approach to what
BikeOttawa is doing with OSM data, they wanted a "Level Of Traffic
Stress" map. To that they defined the set of interesting tags,
started collecting data, then draw a map. Now people are looking at
the map and pointing out errors in map data (which there are lots) or
things that need improving in the algorithm (which probably there are
also lots). [The tagging scheme was previously discussed on this list]
So if someone had a building-related use case they were deriving from
OSM data, then local mappers could check how the buildings in their
area align to whatever is that goal. Last week I started looking a
building heights... I was using https://osmbuildings.org/ to look at
the areas I know and then look for buildings that seem to be the wrong
height then going out to count the windows (vertically) to get the
number of levels. It will make the map look better. However, it would
be better if there was a more defined project than just looking at the
map.
References:
The buildings I changed:
https://osmbuildings.org/?lat=45.31336&lon=-75.91377&zoom=18.4&tilt=30
The Bike Ottawa test stress map:
http://mobiletest.beyond2020.com/bikemap/ (give it a few seconds to
load the overlay)
On 2018-02-07 11:44 AM, john whelan wrote:
Unfortunately having a valid license is not the whole story. In
Montreal we appear to have a valid license we can import from and
they have building data on their open data portal. Unfortunately
technically the quality and ease of use appears to be lower than
Ottawa's.
I suspect that we need to see how the NRC LiDAR data unfolds and my
gossip says there is work being done there on deep learning that may
well be useful.
I think what we need at the moment is something to keep the project
moving forward and I suspect that will be adding tags to existing
buildings. On the schools front some background as to the value of
the stats from tagging the buildings might be worth its weight in gold.
Cheerio John
On 7 February 2018 at 09:42, Alasia, Alessandro (STATCAN)
<alessandro.ala...@canada.ca <mailto:alessandro.ala...@canada.ca>>
wrote:
Dear all,
It is fantastic to see all these exchanges about BC2020i! There
are a lot of great ideas and improvements being made. I cannot
follow up on each point, though I wanted to update you regarding
one area of specific relevance: the attempt to find a solution
to the licensing issue for building related datasets. I believe
this is one area where my team can contribute to support the
BC2020i.
With my team, I am looking into the feasibility of compiling all
available municipal open data files into one single file and
then releasing this single file under one common license,
specifically the open data licence of the Canadian federal
government. This would, hopefully, solve the license
compatibility issue. We are still exploring this possibility but
are moderately optimistic.
So far we started with the "easy" task: compiling all the known
files – a special thanks to those who contributed to the tables
on the BC2020i wiki page! With that and other OD sources, we
compiled an "OpenAddressRepository" file of nearly 11 million
records (georeferenced) and an "OpenBuildingRepository" file of
nearly 3.2 million polygons (still in progress). Preliminary
analysis suggests that the coverage and geocoding are very
promising. More importantly, given that the files all originate
from official municipal sources, there should be no reason to
doubt the quality of the data.
The next step, for us, is to look at the process required to
release these files with a GoC open data license. We do not yet
have a clear timeline for release, but if this idea is possible,
we should almost certainly make it before the timelines that
were discussed on Talk-ca for vetting each and all individual
municipal open data licenses - 2080s or 2030s if I recall
correctly :-)
We believe this solution/approach, if successful, puts an end to
the issue of license compatibility (at least for the files found
thus far) and greatly facilitates the use of these open data by
the general public as well as the private and public sector.
Furthermore, and more importantly for BC2020i, this solution
paves the way for the many local OSM groups to import these open
data as they see fit. As well, once the large national level
files are released, we might be able to collaborate with local
groups and provide more manageable partitions of the larger files.
Of course, this approach will not necessarily solve the license
compatibility issue for all types of municipal files. Thus,
needless to say, anybody is obviously free to pursue submitting
individual municipal OD licenses to the License Working Group of
OSM. Though, given that the Working Group resources are scarce,
and assuming the approach outlined above works for building
footprints, we would be happy to discuss the feasibility of
compiling and re-releasing other municipal open data under the
open data licence of the Canadian federal government.
Finally, as I mentioned in other communications, my team is also
exploring other activities that will hopefully contribute to the
BC2020i. These activities touch on data analysis, data
monitoring, and building footprint extraction from satellite
imagery. For this work, we are primarily using open source tools
and applications that can be integrated in open source
environments (more updates on all of this hopefully soon!).
More updates, feedback, and follow up on other interesting
points of discussion later on.
Regards to all,
Alessandro and DEIL team
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