Re: [talk-au] Using roads dataset from data.sa.gov.au. [SEC=UNCLASSIFIED]

2015-05-13 Thread ODG:Data SA
Hi All

We will be releasing a new Data.SA website by 1 June which will enable some 
feedback to be provided to dataset owners.  Users of Data.SA will also be able 
to comment on a dataset, request a dataset and submit case studies where open 
data has been used to solve a problem or provide a service.  This will help 
citizens engage with those who release the data.

Cheers
Open Data Team

From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
Sent: Friday, 13 March 2015 5:26 PM
To: simon.coste...@ga.gov.au
Cc: talk-au@openstreetmap.org; Henry Haselgrove; ODG:Data SA
Subject: Re: [talk-au] Using roads dataset from data.sa.gov.au. 
[SEC=UNCLASSIFIED]


Hi Simon,
We are communicating back corrections via the LGAs; which in turn is fed to 
DPTI and presumably onto datasets like GNAF eventually.
We are still feeling out the best way to track issues or questions. I 
personally like github as a slightly more effective  way than person to person 
email; as it radiates information well.

Unfortunately it's not to friendly to binary files/shapefiles; so it is best 
used for feedback rather than as a publication spot (perhaps there are things 
that can be done with CKAN to get the best of both worlds).

I think we as a community would be very interested in any suggestions to make 
feedback more relevant/effective/streamlined. At SA's unleashed (govhack) last 
year, a number of us got talking to the folks behind 
data.sa.gov.auhttp://data.sa.gov.au and this kind of problem - how can we 
show what value is being created with open data, how can we turn it into a two 
way conversation, etc.
On 13/03/2015 5:04 PM, 
simon.coste...@ga.gov.aumailto:simon.coste...@ga.gov.au wrote:
Hi there,

Does any of this feedback go back to the custodians in South Australia?

I am looking at improving some of the feedback loops.

Thanks,
Simon

Simon Costello
Group Leader, National Location Information  |  EGD Management
Environmental Geoscience Division  |  GEOSCIENCE AUSTRALIA

Phone:  +61 2 6249 9716tel:%2B61%202%206249%209716tel:+61%202%206249%209716 
   Fax:  +61 2 6249 tel:%2B61%202%206249%20tel:+61%202%206249%20
Email:  
simon.coste...@ga.gov.aumailto:simon.coste...@ga.gov.aumailto:simon.coste...@ga.gov.aumailto:simon.coste...@ga.gov.au
Web:  www.ga.gov.auhttp://www.ga.gov.auhttp://www.ga.gov.au/
Cnr Jerrabomberra Avenue and Hindmarsh Drive Symonston ACT
GPO Box 378 Canberra ACT 2601 Australiax-apple-data-detectors://3
Applying geoscience to Australia’s most important challenges



On 10 Mar 2015, at 11:01 am, Henry Haselgrove 
haselgr...@gmail.commailto:haselgr...@gmail.commailto:haselgr...@gmail.commailto:haselgr...@gmail.com
 wrote:

I agree… with a dataset this large prioritisation is important. All your 
specific suggestions for culling parts from missing.osm sound good. It would be 
easy to add an option to the scripts to exclude highway={primary, secondary, 
track}. And the suggestions you made via github look good too.

However, I think that some more significant changes to the script should be 
done before this data is unleased onto maproulette. The roads that are 
currently in missing.osm fall (more or less) under three categories:
-- roads that are completely absent in OSM
-- roads that appear in OSM, but have an empty name
-- roads that appear in OSM and have a non-empty name which is 
different to the datasa name, either because OSM is wrong or datasa is wrong 
(or because both are right, such as “Mount Magnificent Road” versus “Mt. 
Magnificent Road”)

I propose to modify the script to automatically exclude as much as possible 
from the third category. Because, it will be hard for an armchair mapper to 
decide whether OSM or datasa is wrong in those cases. I could try to do this 
over the coming week.

I’m not sure I agree that the Adelaide metro area should be given particular 
priority over other areas. But I’m probably biased, since I grew up in rural SA!

Probably we should make a posting to the osm “imports” list before too much 
longer, to let them know what we’re thinking.

From: Daniel O'Connor 
[mailto:daniel.ocon...@gmail.commailto:daniel.ocon...@gmail.com]
Sent: Monday, 9 March 2015 5:32 AM
To: Henry Haselgrove
Cc: Alex Sims; OSM Australian Talk List
Subject: Re: [talk-au] Using roads dataset from 
data.sa.gov.auhttp://data.sa.gov.auhttp://data.sa.gov.au

So, after doing this manually for a bit; it's generally working well.

There are some where spot checking against other sources suggests the dataset 
is wrong, how do you suggest we indicate these?

I've put in NOTE or FIXME on the relevant way.


The thing that is troubling me is the size of the dataset - a few hours work 
barely makes a dent.

I've taken to deleting all Primary/Trunk, Secondary and Track ways from the 
data set; and then cropping stuff down to the metro adelaide area; and it's 
still very sizable.


I'd

Re: [talk-au] Using roads dataset from data.sa.gov.au. [SEC=UNCLASSIFIED]

2015-05-11 Thread Daniel O'Connor
Nice!
On 11/05/2015 6:01 PM, ODG:Data SA dat...@sa.gov.au wrote:

 Hi All



 We will be releasing a new Data.SA website by 1 June which will enable
 some feedback to be provided to dataset owners.  Users of Data.SA will also
 be able to comment on a dataset, request a dataset and submit case studies
 where open data has been used to solve a problem or provide a service.
 This will help citizens engage with those who release the data.



 Cheers

 Open Data Team



 *From:* Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
 *Sent:* Friday, 13 March 2015 5:26 PM
 *To:* simon.coste...@ga.gov.au
 *Cc:* talk-au@openstreetmap.org; Henry Haselgrove; ODG:Data SA
 *Subject:* Re: [talk-au] Using roads dataset from data.sa.gov.au.
 [SEC=UNCLASSIFIED]



 Hi Simon,
 We are communicating back corrections via the LGAs; which in turn is fed
 to DPTI and presumably onto datasets like GNAF eventually.
 We are still feeling out the best way to track issues or questions. I
 personally like github as a slightly more effective  way than person to
 person email; as it radiates information well.

 Unfortunately it's not to friendly to binary files/shapefiles; so it is
 best used for feedback rather than as a publication spot (perhaps there are
 things that can be done with CKAN to get the best of both worlds).

 I think we as a community would be very interested in any suggestions to
 make feedback more relevant/effective/streamlined. At SA's unleashed
 (govhack) last year, a number of us got talking to the folks behind
 data.sa.gov.au and this kind of problem - how can we show what value is
 being created with open data, how can we turn it into a two way
 conversation, etc.

 On 13/03/2015 5:04 PM, simon.coste...@ga.gov.au wrote:

 Hi there,

 Does any of this feedback go back to the custodians in South Australia?

 I am looking at improving some of the feedback loops.

 Thanks,
 Simon

 Simon Costello
 Group Leader, National Location Information  |  EGD Management
 Environmental Geoscience Division  |  GEOSCIENCE AUSTRALIA
 
 Phone:  +61 2 6249 9716tel:+61%202%206249%209716 +61%202%206249%209716
   Fax:  +61 2 6249 tel:+61%202%206249%20 +61%202%206249%20
 Email:  simon.coste...@ga.gov.aumailto:simon.coste...@ga.gov.au
 Web:  www.ga.gov.auhttp://www.ga.gov.au/
 Cnr Jerrabomberra Avenue and Hindmarsh Drive Symonston ACT
 GPO Box 378 Canberra ACT 2601 Australiax-apple-data-detectors://3
 Applying geoscience to Australia’s most important challenges



 On 10 Mar 2015, at 11:01 am, Henry Haselgrove haselgr...@gmail.com
 mailto:haselgr...@gmail.com wrote:

 I agree… with a dataset this large prioritisation is important. All your
 specific suggestions for culling parts from missing.osm sound good. It
 would be easy to add an option to the scripts to exclude highway={primary,
 secondary, track}. And the suggestions you made via github look good too.

 However, I think that some more significant changes to the script should
 be done before this data is unleased onto maproulette. The roads that are
 currently in missing.osm fall (more or less) under three categories:
 -- roads that are completely absent in OSM
 -- roads that appear in OSM, but have an empty name
 -- roads that appear in OSM and have a non-empty name
 which is different to the datasa name, either because OSM is wrong or
 datasa is wrong (or because both are right, such as “Mount Magnificent
 Road” versus “Mt. Magnificent Road”)

 I propose to modify the script to automatically exclude as much as
 possible from the third category. Because, it will be hard for an armchair
 mapper to decide whether OSM or datasa is wrong in those cases. I could try
 to do this over the coming week.

 I’m not sure I agree that the Adelaide metro area should be given
 particular priority over other areas. But I’m probably biased, since I grew
 up in rural SA!

 Probably we should make a posting to the osm “imports” list before too
 much longer, to let them know what we’re thinking.

 From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
 Sent: Monday, 9 March 2015 5:32 AM
 To: Henry Haselgrove
 Cc: Alex Sims; OSM Australian Talk List
 Subject: Re: [talk-au] Using roads dataset from data.sa.gov.au
 http://data.sa.gov.au

 So, after doing this manually for a bit; it's generally working well.

 There are some where spot checking against other sources suggests the
 dataset is wrong, how do you suggest we indicate these?

 I've put in NOTE or FIXME on the relevant way.


 The thing that is troubling me is the size of the dataset - a few hours
 work barely makes a dent.

 I've taken to deleting all Primary/Trunk, Secondary and Track ways from
 the data set; and then cropping stuff down to the metro adelaide area; and
 it's still very sizable.


 I'd be really keen on maproulette at this point - you seem to be able to
 produce updated files fairly regularly, adding a few bash

Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-03-22 Thread Daniel O'Connor
For those of your that are interested, we've made a fair number of
improvements to the process and edited quite a large number of ways.

You can see the improvement via http://qa.poole.ch/ - compared to other
states/places, South Australia is showing a very low density of errors. New
Zealand, Northern Territory and Tasmania seem comparable or slightly better.

There are approximately 5000 unnamed roads remaining, and 4000 naming
differences to check after that.
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Re: [talk-au] Using roads dataset from data.sa.gov.au. [SEC=UNCLASSIFIED]

2015-03-13 Thread Simon . Costello
Hi there,

Does any of this feedback go back to the custodians in South Australia?

I am looking at improving some of the feedback loops.

Thanks,
Simon

Simon Costello
Group Leader, National Location Information  |  EGD Management
Environmental Geoscience Division  |  GEOSCIENCE AUSTRALIA

Phone:  +61 2 6249 9716tel:+61%202%206249%209716Fax:  +61 2 6249 
tel:+61%202%206249%20
Email:  simon.coste...@ga.gov.aumailto:simon.coste...@ga.gov.auWeb:  
www.ga.gov.auhttp://www.ga.gov.au/
Cnr Jerrabomberra Avenue and Hindmarsh Drive Symonston ACT
GPO Box 378 Canberra ACT 2601 Australiax-apple-data-detectors://3
Applying geoscience to Australia’s most important challenges



On 10 Mar 2015, at 11:01 am, Henry Haselgrove 
haselgr...@gmail.commailto:haselgr...@gmail.com wrote:

I agree… with a dataset this large prioritisation is important. All your 
specific suggestions for culling parts from missing.osm sound good. It would be 
easy to add an option to the scripts to exclude highway={primary, secondary, 
track}. And the suggestions you made via github look good too.

However, I think that some more significant changes to the script should be 
done before this data is unleased onto maproulette. The roads that are 
currently in missing.osm fall (more or less) under three categories:
-- roads that are completely absent in OSM
-- roads that appear in OSM, but have an empty name
-- roads that appear in OSM and have a non-empty name which is 
different to the datasa name, either because OSM is wrong or datasa is wrong 
(or because both are right, such as “Mount Magnificent Road” versus “Mt. 
Magnificent Road”)

I propose to modify the script to automatically exclude as much as possible 
from the third category. Because, it will be hard for an armchair mapper to 
decide whether OSM or datasa is wrong in those cases. I could try to do this 
over the coming week.

I’m not sure I agree that the Adelaide metro area should be given particular 
priority over other areas. But I’m probably biased, since I grew up in rural SA!

Probably we should make a posting to the osm “imports” list before too much 
longer, to let them know what we’re thinking.

From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
Sent: Monday, 9 March 2015 5:32 AM
To: Henry Haselgrove
Cc: Alex Sims; OSM Australian Talk List
Subject: Re: [talk-au] Using roads dataset from 
data.sa.gov.auhttp://data.sa.gov.au

So, after doing this manually for a bit; it's generally working well.

There are some where spot checking against other sources suggests the dataset 
is wrong, how do you suggest we indicate these?

I've put in NOTE or FIXME on the relevant way.


The thing that is troubling me is the size of the dataset - a few hours work 
barely makes a dent.

I've taken to deleting all Primary/Trunk, Secondary and Track ways from the 
data set; and then cropping stuff down to the metro adelaide area; and it's 
still very sizable.


I'd be really keen on maproulette at this point - you seem to be able to 
produce updated files fairly regularly, adding a few bash scripts to turn that 
into curl friendly statements seems achievable.

Going to start sending a few pull requests your way to get us started on this.



Geoscience Australia Disclaimer: This e-mail (and files transmitted with it) is 
intended only for the person or entity to which it is addressed. If you are not 
the intended recipient, then you have received this e-mail by mistake and any 
use, dissemination, forwarding, printing or copying of this e-mail and its file 
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Re: [talk-au] Using roads dataset from data.sa.gov.au. [SEC=UNCLASSIFIED]

2015-03-13 Thread Daniel O'Connor
Hi Simon,
We are communicating back corrections via the LGAs; which in turn is fed to
DPTI and presumably onto datasets like GNAF eventually.
We are still feeling out the best way to track issues or questions. I
personally like github as a slightly more effective  way than person to
person email; as it radiates information well.

Unfortunately it's not to friendly to binary files/shapefiles; so it is
best used for feedback rather than as a publication spot (perhaps there are
things that can be done with CKAN to get the best of both worlds).

I think we as a community would be very interested in any suggestions to
make feedback more relevant/effective/streamlined. At SA's unleashed
(govhack) last year, a number of us got talking to the folks behind
data.sa.gov.au and this kind of problem - how can we show what value is
being created with open data, how can we turn it into a two way
conversation, etc.
On 13/03/2015 5:04 PM, simon.coste...@ga.gov.au wrote:

 Hi there,

 Does any of this feedback go back to the custodians in South Australia?

 I am looking at improving some of the feedback loops.

 Thanks,
 Simon

 Simon Costello
 Group Leader, National Location Information  |  EGD Management
 Environmental Geoscience Division  |  GEOSCIENCE AUSTRALIA
 
 Phone:  +61 2 6249 9716tel:+61%202%206249%209716Fax:  +61 2 6249
 tel:+61%202%206249%20
 Email:  simon.coste...@ga.gov.aumailto:simon.coste...@ga.gov.au
 Web:  www.ga.gov.auhttp://www.ga.gov.au/
 Cnr Jerrabomberra Avenue and Hindmarsh Drive Symonston ACT
 GPO Box 378 Canberra ACT 2601 Australiax-apple-data-detectors://3
 Applying geoscience to Australia’s most important challenges



 On 10 Mar 2015, at 11:01 am, Henry Haselgrove haselgr...@gmail.com
 mailto:haselgr...@gmail.com wrote:

 I agree… with a dataset this large prioritisation is important. All your
 specific suggestions for culling parts from missing.osm sound good. It
 would be easy to add an option to the scripts to exclude highway={primary,
 secondary, track}. And the suggestions you made via github look good too.

 However, I think that some more significant changes to the script should
 be done before this data is unleased onto maproulette. The roads that are
 currently in missing.osm fall (more or less) under three categories:
 -- roads that are completely absent in OSM
 -- roads that appear in OSM, but have an empty name
 -- roads that appear in OSM and have a non-empty name
 which is different to the datasa name, either because OSM is wrong or
 datasa is wrong (or because both are right, such as “Mount Magnificent
 Road” versus “Mt. Magnificent Road”)

 I propose to modify the script to automatically exclude as much as
 possible from the third category. Because, it will be hard for an armchair
 mapper to decide whether OSM or datasa is wrong in those cases. I could try
 to do this over the coming week.

 I’m not sure I agree that the Adelaide metro area should be given
 particular priority over other areas. But I’m probably biased, since I grew
 up in rural SA!

 Probably we should make a posting to the osm “imports” list before too
 much longer, to let them know what we’re thinking.

 From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
 Sent: Monday, 9 March 2015 5:32 AM
 To: Henry Haselgrove
 Cc: Alex Sims; OSM Australian Talk List
 Subject: Re: [talk-au] Using roads dataset from data.sa.gov.au
 http://data.sa.gov.au

 So, after doing this manually for a bit; it's generally working well.

 There are some where spot checking against other sources suggests the
 dataset is wrong, how do you suggest we indicate these?

 I've put in NOTE or FIXME on the relevant way.


 The thing that is troubling me is the size of the dataset - a few hours
 work barely makes a dent.

 I've taken to deleting all Primary/Trunk, Secondary and Track ways from
 the data set; and then cropping stuff down to the metro adelaide area; and
 it's still very sizable.


 I'd be really keen on maproulette at this point - you seem to be able to
 produce updated files fairly regularly, adding a few bash scripts to turn
 that into curl friendly statements seems achievable.

 Going to start sending a few pull requests your way to get us started on
 this.



 Geoscience Australia Disclaimer: This e-mail (and files transmitted with
 it) is intended only for the person or entity to which it is addressed. If
 you are not the intended recipient, then you have received this e-mail by
 mistake and any use, dissemination, forwarding, printing or copying of this
 e-mail and its file attachments is prohibited. The security of emails
 transmitted cannot be guaranteed; by forwarding or replying to this email,
 you acknowledge and accept these risks

Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-03-09 Thread Henry Haselgrove
I agree… with a dataset this large prioritisation is important. All your 
specific suggestions for culling parts from missing.osm sound good. It would be 
easy to add an option to the scripts to exclude highway={primary, secondary, 
track}. And the suggestions you made via github look good too.

 

However, I think that some more significant changes to the script should be 
done before this data is unleased onto maproulette. The roads that are 
currently in missing.osm fall (more or less) under three categories:

-- roads that are completely absent in OSM

-- roads that appear in OSM, but have an empty name

-- roads that appear in OSM and have a non-empty name which is 
different to the datasa name, either because OSM is wrong or datasa is wrong 
(or because both are right, such as “Mount Magnificent Road” versus “Mt. 
Magnificent Road”)

 

I propose to modify the script to automatically exclude as much as possible 
from the third category. Because, it will be hard for an armchair mapper to 
decide whether OSM or datasa is wrong in those cases. I could try to do this 
over the coming week. 

 

I’m not sure I agree that the Adelaide metro area should be given particular 
priority over other areas. But I’m probably biased, since I grew up in rural SA!

 

Probably we should make a posting to the osm “imports” list before too much 
longer, to let them know what we’re thinking. 

 

From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com] 
Sent: Monday, 9 March 2015 5:32 AM
To: Henry Haselgrove
Cc: Alex Sims; OSM Australian Talk List
Subject: Re: [talk-au] Using roads dataset from data.sa.gov.au

 

So, after doing this manually for a bit; it's generally working well.

 

There are some where spot checking against other sources suggests the dataset 
is wrong, how do you suggest we indicate these?

 

I've put in NOTE or FIXME on the relevant way.

 

 

The thing that is troubling me is the size of the dataset - a few hours work 
barely makes a dent.

 

I've taken to deleting all Primary/Trunk, Secondary and Track ways from the 
data set; and then cropping stuff down to the metro adelaide area; and it's 
still very sizable.

 

 

I'd be really keen on maproulette at this point - you seem to be able to 
produce updated files fairly regularly, adding a few bash scripts to turn that 
into curl friendly statements seems achievable.

 

Going to start sending a few pull requests your way to get us started on this.

 

 

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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-03-09 Thread Daniel O'Connor
https://github.com/CloCkWeRX/osm-scripts/tree/add_maproulette is what I
started last night.

Biggest missing part is a persistent identifier, because I manipulated the
samples via JOSM first (thus nuking a repeatable task id); and it's not
100% clear around if I should be creating One Big Task GeoJSON or a lot of
little ones.

I doubt my ruby script is going to scale well to the whole dataset either;
so if you wanted to produce .geojson in the format of
https://raw.githubusercontent.com/CloCkWeRX/osm-scripts/add_maproulette/maproulette/task.json

then the rest is pretty easy!

See http://dev.maproulette.org/api/challenges?return_inactive=1 for the
project stub.

On Tue, Mar 10, 2015 at 11:31 AM, Henry Haselgrove haselgr...@gmail.com
wrote:

 I agree… with a dataset this large prioritisation is important. All your
 specific suggestions for culling parts from missing.osm sound good. It
 would be easy to add an option to the scripts to exclude highway={primary,
 secondary, track}. And the suggestions you made via github look good too.



 However, I think that some more significant changes to the script should
 be done before this data is unleased onto maproulette. The roads that are
 currently in missing.osm fall (more or less) under three categories:

 -- roads that are completely absent in OSM

 -- roads that appear in OSM, but have an empty name

 -- roads that appear in OSM and have a non-empty name
 which is different to the datasa name, either because OSM is wrong or
 datasa is wrong (or because both are right, such as “Mount Magnificent
 Road” versus “Mt. Magnificent Road”)



 I propose to modify the script to automatically exclude as much as
 possible from the third category. Because, it will be hard for an armchair
 mapper to decide whether OSM or datasa is wrong in those cases. I could try
 to do this over the coming week.



 I’m not sure I agree that the Adelaide metro area should be given
 particular priority over other areas. But I’m probably biased, since I grew
 up in rural SA!



 Probably we should make a posting to the osm “imports” list before too
 much longer, to let them know what we’re thinking.



 *From:* Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
 *Sent:* Monday, 9 March 2015 5:32 AM
 *To:* Henry Haselgrove
 *Cc:* Alex Sims; OSM Australian Talk List
 *Subject:* Re: [talk-au] Using roads dataset from data.sa.gov.au



 So, after doing this manually for a bit; it's generally working well.



 There are some where spot checking against other sources suggests the
 dataset is wrong, how do you suggest we indicate these?



 I've put in NOTE or FIXME on the relevant way.





 The thing that is troubling me is the size of the dataset - a few hours
 work barely makes a dent.



 I've taken to deleting all Primary/Trunk, Secondary and Track ways from
 the data set; and then cropping stuff down to the metro adelaide area; and
 it's still very sizable.





 I'd be *really* keen on maproulette at this point - you seem to be able
 to produce updated files fairly regularly, adding a few bash scripts to
 turn that into curl friendly statements seems achievable.



 Going to start sending a few pull requests your way to get us started on
 this.





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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-03-09 Thread Daniel O'Connor
So, after doing this manually for a bit; it's generally working well.

There are some where spot checking against other sources suggests the
dataset is wrong, how do you suggest we indicate these?

I've put in NOTE or FIXME on the relevant way.


The thing that is troubling me is the size of the dataset - a few hours
work barely makes a dent.

I've taken to deleting all Primary/Trunk, Secondary and Track ways from the
data set; and then cropping stuff down to the metro adelaide area; and it's
still very sizable.


I'd be *really* keen on maproulette at this point - you seem to be able to
produce updated files fairly regularly, adding a few bash scripts to turn
that into curl friendly statements seems achievable.

Going to start sending a few pull requests your way to get us started on
this.


On Sun, Mar 1, 2015 at 11:23 AM, Henry Haselgrove haselgr...@gmail.com
wrote:

 Well spotted, Alex. It is interesting that both of the errors you have
 found have been in the “type” part of the name (e.g., street/lane/terrace
 etc). There seems to be approximately 1000 roads where the difference
 between the OSM and datasa versions is the type (excluding cases that could
 easily be determined to be typos in OSM, like terace, cresent,  etc). I
 wonder what proportion of those 1000 are errors in datasa?



 I have decided to modify my scripts so that they omit from “missing.osm”
 cases where the difference is only in the road-type portion of the name.
 The script will now put these cases into a different file,
 “different_road_type.osm”, instead. Except, the cases of obviously
 misspelled OSM road types will stay in missing.osm.



 I have placed my latest versions of missing.osm and
 different_road_type.osm in the Google Drive folder. I have also pushed the
 new versions of the scripts to Github.



 Incidentally, the scripts now put the tag “upload=false” into the .osm
 files, so that if you accidentally hit “Upload” in JOSM when you are on
 that layer bad things won’t happen!



 Cheers,



 Henry



 *From:* Alex Sims [mailto:a...@softgrow.com]
 *Sent:* Thursday, 26 February 2015 1:35 AM
 *To:* OSM Australian Talk List
 *Subject:* Re: [talk-au] Using roads dataset from data.sa.gov.au



 I’ve started finding errors not on OpenStreetMap but in the DPTI data.



 I’ve documented a fix process at
 https://wiki.openstreetmap.org/wiki/Import/South_Australian_Roads#Errors_in_the_source_data



 It’s not as easy as an edit on the Map but it should work



 Alex







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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-02-28 Thread Henry Haselgrove
Well spotted, Alex. It is interesting that both of the errors you have found 
have been in the “type” part of the name (e.g., street/lane/terrace etc). There 
seems to be approximately 1000 roads where the difference between the OSM and 
datasa versions is the type (excluding cases that could easily be determined to 
be typos in OSM, like terace, cresent,  etc). I wonder what proportion of those 
1000 are errors in datasa? 

 

I have decided to modify my scripts so that they omit from “missing.osm” cases 
where the difference is only in the road-type portion of the name. The script 
will now put these cases into a different file, “different_road_type.osm”, 
instead. Except, the cases of obviously misspelled OSM road types will stay in 
missing.osm. 

 

I have placed my latest versions of missing.osm and different_road_type.osm in 
the Google Drive folder. I have also pushed the new versions of the scripts to 
Github.

 

Incidentally, the scripts now put the tag “upload=false” into the .osm files, 
so that if you accidentally hit “Upload” in JOSM when you are on that layer bad 
things won’t happen!

 

Cheers,

 

Henry

 

From: Alex Sims [mailto:a...@softgrow.com] 
Sent: Thursday, 26 February 2015 1:35 AM
To: OSM Australian Talk List
Subject: Re: [talk-au] Using roads dataset from data.sa.gov.au

 

I’ve started finding errors not on OpenStreetMap but in the DPTI data. 

 

I’ve documented a fix process at 
https://wiki.openstreetmap.org/wiki/Import/South_Australian_Roads#Errors_in_the_source_data

 

It’s not as easy as an edit on the Map but it should work

 

Alex

 

 

 

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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-02-25 Thread Alex Sims
I’ve started finding errors not on OpenStreetMap but in the DPTI data. 

I’ve documented a fix process at 
https://wiki.openstreetmap.org/wiki/Import/South_Australian_Roads#Errors_in_the_source_data
 
https://wiki.openstreetmap.org/wiki/Import/South_Australian_Roads#Errors_in_the_source_data

It’s not as easy as an edit on the Map but it should work

Alex

 
 To make a project is just using curl plus json to describe it and add tasks. 
 Uh can't find github link right now but the api is pretty clear.
 Happy to help set that up later today/this week, as well as get the process 
 automated (git, 1x cron, etc)
 
  On 22/02/2015 11:20 AM, Henry Haselgrove haselgr...@gmail.com 
  mailto:haselgr...@gmail.com wrote:
 
   
 
From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com 
   mailto:daniel.ocon...@gmail.com]
   Softgrow has done some work in metro Adelaide around checking roads:
   http://wiki.openstreetmap.org/wiki/WikiProject_South_Australia 
   http://wiki.openstreetmap.org/wiki/WikiProject_South_Australia
 
  Thanks. I had seen the edits Softgrow has done, but I wasn’t aware it was 
  documented anywhere
 

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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-02-23 Thread Henry Haselgrove
 

I have put the Matlab scripts here:

https://github.com/q-bits/osm-scripts

 

 

From: Alex Sims [mailto:a...@softgrow.com] 
Sent: Sunday, 22 February 2015 8:16 PM
To: OSM Australian Talk List
Subject: Re: [talk-au] Using roads dataset from data.sa.gov.au

 

Hi,

 

Can you please make the matlab scripts available on Github so they might be 
used/improved?

 

I’m particularly wanting to use the output, then check the revised output, 
rinse, lather, repeat

 

Alex

 

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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-02-22 Thread Alex Sims
Hi,

Can you please make the matlab scripts available on Github so they might be 
used/improved?

I’m particularly wanting to use the output, then check the revised output, 
rinse, lather, repeat

Alex

 To make a project is just using curl plus json to describe it and add tasks. 
 Uh can't find github link right now but the api is pretty clear.
 Happy to help set that up later today/this week, as well as get the process 
 automated (git, 1x cron, etc)
 
  On 22/02/2015 11:20 AM, Henry Haselgrove haselgr...@gmail.com 
  mailto:haselgr...@gmail.com wrote:
 
   
 
From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com 
   mailto:daniel.ocon...@gmail.com]
   Softgrow has done some work in metro Adelaide around checking roads:
   http://wiki.openstreetmap.org/wiki/WikiProject_South_Australia 
   http://wiki.openstreetmap.org/wiki/WikiProject_South_Australia
 
  Thanks. I had seen the edits Softgrow has done, but I wasn’t aware it was 
  documented anywhere
 

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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-02-21 Thread Henry Haselgrove
 

  From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
 Softgrow has done some work in metro Adelaide around checking roads:
 http://wiki.openstreetmap.org/wiki/WikiProject_South_Australia

Thanks. I had seen the edits Softgrow has done, but I wasn’t aware it was 
documented anywhere

 From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com] 
 Sent: Saturday, 21 February 2015 3:39 AM



 Couple of false positives:

 Knox Terrace (Metro area, near waterfall gully) - it's a bit windy and for 
 some reason not matched

 

Actually this is not a false positive. The OSM version of the name has too many 
R’s !!

 

 Some of the walking trails near mt lofty

 OBahn busway probably should be excluded.

 There's a lot of little laneways, etc that are worthwhile adding in on their 
 own.

 

 Given that importing this is probably not a great idea, what other ways could 
 you present the data - as a list with clickable links to the coordatines/OSM 
 way?

 Or even better, http://wiki.openstreetmap.org/wiki/MapRoulette/Challenges ?

 

I will try to give this some thought. I just had a brief look at MapRoulette, 
but I don’t really understand yet what the technical requirements are.

 

Just loading the .osm file as a separate layer in JOSM seems to be a reasonable 
way to use the data. Potentially, I could re-generate the file often, to 
provide an up-to-date indication of what is left to do. However there would be 
no easy way for someone to mark for others the fact that a way doesn’t really 
need changing; and that could lead to some duplicated effort.

 

Incidentally, I noticed that you used some of the data in the last 24hrs to 
update road names on KI. I decided to have a go too, adding some missing roads, 
also to KI. The procedure of copying a road from one layer to another, joining 
it to existing ways, and uploading, seems to be fairly easy once you get into 
the rhythm. I was able to add around one missing road every 30 seconds or so.

 

By the way, I have just put an updated version of “missing.osm” in my Google 
Drive folder, based on the state of OSM today (rather than 9 Feb, like the 
previous one). 

 

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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-02-21 Thread Daniel O'Connor
Neat. So map roulette would solve the 'no need to fix
On 22/02/2015 11:20 AM, Henry Haselgrove haselgr...@gmail.com wrote:



 *  From:* Daniel O'Connor [mailto:daniel.ocon...@gmail.com
 daniel.ocon...@gmail.com]
  Softgrow has done some work in metro Adelaide around checking roads:
  http://wiki.openstreetmap.org/wiki/WikiProject_South_Australia

 Thanks. I had seen the edits Softgrow has done, but I wasn’t aware it was
 documented anywhere

 * From:* Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
 * Sent:* Saturday, 21 February 2015 3:39 AM

  Couple of false positives:

  Knox Terrace (Metro area, near waterfall gully) - it's a bit windy and
 for some reason not matched



 Actually this is not a false positive. The OSM version of the name has too
 many R’s !!



  Some of the walking trails near mt lofty

  OBahn busway probably should be excluded.

  There's a lot of little laneways, etc that are worthwhile adding in on
 their own.



  Given that importing this is probably not a great idea, what other ways
 could you present the data - as a list with clickable links to the
 coordatines/OSM way?

  Or even better,
 http://wiki.openstreetmap.org/wiki/MapRoulette/Challenges ?



 I will try to give this some thought. I just had a brief look at
 MapRoulette, but I don’t really understand yet what the technical
 requirements are.



 Just loading the .osm file as a separate layer in JOSM seems to be a
 reasonable way to use the data. Potentially, I could re-generate the file
 often, to provide an up-to-date indication of what is left to do. However
 there would be no easy way for someone to mark for others the fact that a
 way doesn’t really need changing; and that could lead to some duplicated
 effort.



 Incidentally, I noticed that you used some of the data in the last 24hrs
 to update road names on KI. I decided to have a go too, adding some missing
 roads, also to KI. The procedure of copying a road from one layer to
 another, joining it to existing ways, and uploading, seems to be fairly
 easy once you get into the rhythm. I was able to add around one missing
 road every 30 seconds or so.



 By the way, I have just put an updated version of “missing.osm” in my
 Google Drive folder, based on the state of OSM today (rather than 9 Feb,
 like the previous one).



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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-02-21 Thread Daniel O'Connor
Neat. So map roulette would solve the 'no need to fix' signal to others.

To make a project is just using curl plus json to describe it and add
tasks. Uh can't find github link right now but the api is pretty clear.

Happy to help set that up later today/this week, as well as get the process
automated (git, 1x cron, etc)

 On 22/02/2015 11:20 AM, Henry Haselgrove haselgr...@gmail.com wrote:



   From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
  Softgrow has done some work in metro Adelaide around checking roads:
  http://wiki.openstreetmap.org/wiki/WikiProject_South_Australia

 Thanks. I had seen the edits Softgrow has done, but I wasn’t aware it
was documented anywhere

  From: Daniel O'Connor [mailto:daniel.ocon...@gmail.com]
  Sent: Saturday, 21 February 2015 3:39 AM

  Couple of false positives:

  Knox Terrace (Metro area, near waterfall gully) - it's a bit windy and
for some reason not matched



 Actually this is not a false positive. The OSM version of the name has
too many R’s !!



  Some of the walking trails near mt lofty

  OBahn busway probably should be excluded.

  There's a lot of little laneways, etc that are worthwhile adding in on
their own.



  Given that importing this is probably not a great idea, what other
ways could you present the data - as a list with clickable links to the
coordatines/OSM way?

  Or even better,
http://wiki.openstreetmap.org/wiki/MapRoulette/Challenges ?



 I will try to give this some thought. I just had a brief look at
MapRoulette, but I don’t really understand yet what the technical
requirements are.



 Just loading the .osm file as a separate layer in JOSM seems to be a
reasonable way to use the data. Potentially, I could re-generate the file
often, to provide an up-to-date indication of what is left to do. However
there would be no easy way for someone to mark for others the fact that a
way doesn’t really need changing; and that could lead to some duplicated
effort.



 Incidentally, I noticed that you used some of the data in the last 24hrs
to update road names on KI. I decided to have a go too, adding some missing
roads, also to KI. The procedure of copying a road from one layer to
another, joining it to existing ways, and uploading, seems to be fairly
easy once you get into the rhythm. I was able to add around one missing
road every 30 seconds or so.



 By the way, I have just put an updated version of “missing.osm” in my
Google Drive folder, based on the state of OSM today (rather than 9 Feb,
like the previous one).


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Re: [talk-au] Using roads dataset from data.sa.gov.au

2015-02-20 Thread Daniel O'Connor
Softgrow has done some work in metro Adelaide around checking roads:

http://wiki.openstreetmap.org/wiki/WikiProject_South_Australia

I would be keen for:
- New roads (housing developments etc) in metro, outer metro areas first
- Identifying naming conflicts in metro areas next

The later I would recommend manual checking of (happy to help) to avoid
clobbering roads that simply need splitting using a process like the one on
the sa project page.
On 21/02/2015 12:20 PM, Henry Haselgrove haselgr...@gmail.com wrote:

 Hi everyone,



 I have recently been looking at the “roads” dataset on data.sa.gov.au,
 and trying to figure out if there is a good way to use it in OSM.



 One thing I have tried so far is to process the data in a manner that
 identifies roads that are missing or incorrectly tagged in OSM.  The result
 is a .osm file that contains approximately 20,000 ways from data.sa.gov.au
 that are either missing or named differently to what is in OSM. The data
 covers not only SA but also the western 100km of VIC. I don’t think that
 automatically merging this data into OSM would be a good idea, unless
 anyone knows of a clever way to do that. However I reckon the file could be
 a valuable source for manual edits.



 I put a brief description of my work on the wiki:



 https://wiki.openstreetmap.org/wiki/Import/South_Australian_Roads



 I would be interested in other ideas you might have for how to use the
 source dataset. I should mention that, in the .osm file I have distilled so
 far, I tried to include only public roads, by excluding any way that does
 not have a name. About half of the source dataset consists of unnamed ways,
 which seem to be a combination of private access roads and driveways, and
 rural tracks. Perhaps some of this data could be useful in OSM too.



 Cheers,



 Henry



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