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Japan OSM improvement #120

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planemad opened this Issue Sep 14, 2015 · 115 comments

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planemad commented Sep 14, 2015

Based on observations from #116. There are multiple data issues in japan which requires a comprehensive cleanup strategy with close involvement of the Japanese OSM community.

This ticket will track all the high level conversations and strategy on improving OSM data for Japan.

Existing data issues

  • Most of Japan road network has been imported from Yahoo Japan in 2011
  • The road data has positional errors (5-30m) when compared to Strava GPS and includes incorrect topology that does not match satellite imagery.
    screenshot 2015-09-14 16 08 10
  • Roads in metropolitan areas have been realigned to the correct position, but large parts of the country are still untouched since 2011.
    screenshot 2015-09-14 16 27 36
  • The Bing imagery coverage for Japan is comprehensive but does not match the OSM data or Strava GPS data. There is both an offset and orthorectification errors that varies throughout Japan.
  • There is high resolution orthorectified imagery for Japan from GSI which perfectly matches Strava GPS data and is the best imagery source available. The coverage of this imagery is not complete.

Data improvement strategy

  1. Select project area
    1. Priority: Urban areas > Highway corridors > Rural areas
    2. Check the accuracy of orthorectified imagery and Bing imagery by comparing with GPS data. Publish offsets if required.
    3. Evaluate extent of data offset and data freshness for the area
    4. Publish findings and communicate with local mappers to initiate a mapping task
  2. Road realignment
    1. Create a road improvement task using the tasking manager
    2. Verify imagery alignment using GPS data
    3. For gridded networks, attempt to offset data to match imagery. If not successful delete imported unnamed roads and retrace area
    4. Delete imported roads with no match to imagery
    5. Realign all other roads and mark as finished
  3. Road tracing
    1. Go through realigned tasks and invalidate to commence road tracing
    2. Trace missing roads and tracks from imagery and mark as finished
  4. Validation

Next steps

cc @mapbox/team-data

@planemad planemad added the cleanup label Sep 14, 2015

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planemad Sep 16, 2015

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Realignment trial report 09/16

  • Today @pratikyadav @ruthmaben @nikhilprabhakar and @ramyaragupathy realigned 15,194 nodes in the Mutsu area
  • Initial pass was to realign all roads in the task area, but due to inconsistencies in the reference sources and lack of GSI satellite imagery coverage, we could not verify that our work was accurate.
  • Our revised strategy was to realign only highways (motorway-secondary) based on Strava GPS which was more accurate, but this created inconsistencies wrt to the existing data
  • In the interest of keeping the improvement process simple for the community to contribute to, the conclusion was to sacrifice small positional accuracies to maintain large scale data consistency.

Revised data improvement strategy

  1. Focus on high priority areas based on @Rub21 tweet map
    image
  2. Use the primary tracing source as GSI Japan Satellite (ort) where available and fallback on Bing in other areas. Most high priority areas have GSI Satellite coverage.

screenshot 2015-09-16 19 40 57

3. Realign road network only in urban areas to `GSI Japan Satellite (ort)`, ignore offsets (<10m) wrt `Bing` 4. Trace missing roads based on tracing source

From tomorrow team-blr will try the above approach and report findings. A log of observations is maintained here

cc @mapbox/team-data

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planemad commented Sep 16, 2015

Realignment trial report 09/16

  • Today @pratikyadav @ruthmaben @nikhilprabhakar and @ramyaragupathy realigned 15,194 nodes in the Mutsu area
  • Initial pass was to realign all roads in the task area, but due to inconsistencies in the reference sources and lack of GSI satellite imagery coverage, we could not verify that our work was accurate.
  • Our revised strategy was to realign only highways (motorway-secondary) based on Strava GPS which was more accurate, but this created inconsistencies wrt to the existing data
  • In the interest of keeping the improvement process simple for the community to contribute to, the conclusion was to sacrifice small positional accuracies to maintain large scale data consistency.

Revised data improvement strategy

  1. Focus on high priority areas based on @Rub21 tweet map
    image
  2. Use the primary tracing source as GSI Japan Satellite (ort) where available and fallback on Bing in other areas. Most high priority areas have GSI Satellite coverage.

screenshot 2015-09-16 19 40 57

3. Realign road network only in urban areas to `GSI Japan Satellite (ort)`, ignore offsets (<10m) wrt `Bing` 4. Trace missing roads based on tracing source

From tomorrow team-blr will try the above approach and report findings. A log of observations is maintained here

cc @mapbox/team-data

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lxbarth Sep 16, 2015

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Wow, great progress.

In the interest of keeping the improvement process simple for the community to contribute to, the conclusion was to sacrifice small positional accuracies to maintain large scale data consistency.

@planemad - what does this concretely mean? Can you give an example for that?

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lxbarth commented Sep 16, 2015

Wow, great progress.

In the interest of keeping the improvement process simple for the community to contribute to, the conclusion was to sacrifice small positional accuracies to maintain large scale data consistency.

@planemad - what does this concretely mean? Can you give an example for that?

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@lxbarth to be as accurate as possible we were using Strava and OSM GPS to offset the Bing/GSI imagery for the best match, this is never perfect and results in an offset in another area. These continuous localized corrections which cannot be replicated exactly be someone else and adds to the data inconsistency since no source perfectly will match the data everywhere.

To make it simple, we're just going to use GSI Satellite or Bing as is without offset correction. We will skip realigning data with offsets under 10m from satellite imagery such as these and focus on adding missing roads.
screenshot 2015-09-16 20 58 10

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planemad commented Sep 16, 2015

@lxbarth to be as accurate as possible we were using Strava and OSM GPS to offset the Bing/GSI imagery for the best match, this is never perfect and results in an offset in another area. These continuous localized corrections which cannot be replicated exactly be someone else and adds to the data inconsistency since no source perfectly will match the data everywhere.

To make it simple, we're just going to use GSI Satellite or Bing as is without offset correction. We will skip realigning data with offsets under 10m from satellite imagery such as these and focus on adding missing roads.
screenshot 2015-09-16 20 58 10

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@planemad

I understand all steps.
Yes, GSI ortho image layer (ort) has good accuracy.

電子国土基本図(オルソ画像)MaxZoomLv18
http://cyberjapandata.gsi.go.jp/xyz/ort/{z}/{x}/{y}.jpg
source=GSImaps/ort

We have started special project team on Facebook Group with Asian addicted mappers, OSM teachers in Japan. My students will join.
https://www.facebook.com/groups/697237443754399/

mapconcierge commented Sep 17, 2015

@planemad

I understand all steps.
Yes, GSI ortho image layer (ort) has good accuracy.

電子国土基本図(オルソ画像)MaxZoomLv18
http://cyberjapandata.gsi.go.jp/xyz/ort/{z}/{x}/{y}.jpg
source=GSImaps/ort

We have started special project team on Facebook Group with Asian addicted mappers, OSM teachers in Japan. My students will join.
https://www.facebook.com/groups/697237443754399/

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@planemad

Mutsu city area doesn't have good GSI ort images and Strava GPS.
We should choice

std 標準地図 MaxZoomLv18
http://cyberjapandata.gsi.go.jp/xyz/std/{z}/{x}/{y}.png
source=GSImaps/std

2015-09-17 13 43 07

mapconcierge commented Sep 17, 2015

@planemad

Mutsu city area doesn't have good GSI ort images and Strava GPS.
We should choice

std 標準地図 MaxZoomLv18
http://cyberjapandata.gsi.go.jp/xyz/std/{z}/{x}/{y}.png
source=GSImaps/std

2015-09-17 13 43 07

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Realignment trial report 09/17

screen shot 2015-09-17 at 6 30 16 pm

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pratikyadav commented Sep 17, 2015

Realignment trial report 09/17

screen shot 2015-09-17 at 6 30 16 pm

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nikhilprabhakar Sep 21, 2015

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@mapconcierge, what kind of highway will the below road be? a service road, residential road or a living-street road?

https://www.openstreetmap.org/#map=17/40.785891873025996/140.7407283726662
japan

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nikhilprabhakar commented Sep 21, 2015

@mapconcierge, what kind of highway will the below road be? a service road, residential road or a living-street road?

https://www.openstreetmap.org/#map=17/40.785891873025996/140.7407283726662
japan

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Realignment trial report 09/21

Today @planemad @pratikyadav @ruthmaben @nikhilprabhakar and @ramyaragupathy realigned 3201 nodes in the Aomori region.

The focus under pass 1A and 2 was -

  • to create dual carriageways on major highways,
  • realign and merge tertiary
  • Adding missing tertiary+ highways
  • Adding missing bridges/tunnels on tertiary+ highways;

Today under pass 3, the team will realign, merge and add missing unclassified, residential roads, living streets.

screen shot 2015-09-18 at 6 15 54 pm

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pratikyadav commented Sep 21, 2015

Realignment trial report 09/21

Today @planemad @pratikyadav @ruthmaben @nikhilprabhakar and @ramyaragupathy realigned 3201 nodes in the Aomori region.

The focus under pass 1A and 2 was -

  • to create dual carriageways on major highways,
  • realign and merge tertiary
  • Adding missing tertiary+ highways
  • Adding missing bridges/tunnels on tertiary+ highways;

Today under pass 3, the team will realign, merge and add missing unclassified, residential roads, living streets.

screen shot 2015-09-18 at 6 15 54 pm

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Realignment Summary

  • Team of @pratikyadav @ruthmaben @nikhilprabhakar and @ramyaragupathy conducted a multi phase data correction exercise in Aomori
  • We synced daily to break the data correction in multiple steps to prioritize effort to the most critical data first to least important and improve the process from our observations
  • General observations:
    • Time taken to realign an object is proportional to the number of ways and nodes
    • By merging consecutive ways and removing unnecessary nodes in straight sections, the effort can be reduced
    • In areas with dense road network, it is faster to delete roads without extra properties (name, ref) and retrace than realign
    • Focusing a task on a limited set of features allows the use of filters to remove distracting objects
    • Time per user per task should be limited to under 60 mins, else there is a feeling of stagnation
    • Retagging roads should not be done without valid reason
    • At all points the larger objective should be to simplify the contribution of any newbie to OSM in Japan
    • Tasks must be selected away from active ones to avoid conflicts

Realignment proposal for Japan
Based on these finding this is the proposal for a large scale road network correction for Japan:

  • Select a project area with GSI imagery coverage and create a mapping task
  • Notify OSM-JP of the task
  • Make multiple passes of each area and make improvements in steps:
    • Pass 1: Realign and merge major highways (motorway-secondary); Create dual carriageways and link roads with correct oneways
    • Pass 2: Realign and merge tertiary; Adding missing tertiary+ highways and link roads; Adding missing bridges/tunnels on tertiary+ highways;
    • Pass 3: Realign, merge and add missing unclassified, residential roads, living streets
    • Pass 4: Realign, merge and add missing service roads, tracks and paths
    • Pass 5: Correct natural features polygons and waterways, add missing bridges, tunnels and viaducts
  • The @mapbox/team-data will focus on completion upto pass 2 throughout Japan and support the community for further improvements

cc @mapconcierge @lxbarth @mapbox/team-data

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planemad commented Sep 21, 2015

Realignment Summary

  • Team of @pratikyadav @ruthmaben @nikhilprabhakar and @ramyaragupathy conducted a multi phase data correction exercise in Aomori
  • We synced daily to break the data correction in multiple steps to prioritize effort to the most critical data first to least important and improve the process from our observations
  • General observations:
    • Time taken to realign an object is proportional to the number of ways and nodes
    • By merging consecutive ways and removing unnecessary nodes in straight sections, the effort can be reduced
    • In areas with dense road network, it is faster to delete roads without extra properties (name, ref) and retrace than realign
    • Focusing a task on a limited set of features allows the use of filters to remove distracting objects
    • Time per user per task should be limited to under 60 mins, else there is a feeling of stagnation
    • Retagging roads should not be done without valid reason
    • At all points the larger objective should be to simplify the contribution of any newbie to OSM in Japan
    • Tasks must be selected away from active ones to avoid conflicts

Realignment proposal for Japan
Based on these finding this is the proposal for a large scale road network correction for Japan:

  • Select a project area with GSI imagery coverage and create a mapping task
  • Notify OSM-JP of the task
  • Make multiple passes of each area and make improvements in steps:
    • Pass 1: Realign and merge major highways (motorway-secondary); Create dual carriageways and link roads with correct oneways
    • Pass 2: Realign and merge tertiary; Adding missing tertiary+ highways and link roads; Adding missing bridges/tunnels on tertiary+ highways;
    • Pass 3: Realign, merge and add missing unclassified, residential roads, living streets
    • Pass 4: Realign, merge and add missing service roads, tracks and paths
    • Pass 5: Correct natural features polygons and waterways, add missing bridges, tunnels and viaducts
  • The @mapbox/team-data will focus on completion upto pass 2 throughout Japan and support the community for further improvements

cc @mapconcierge @lxbarth @mapbox/team-data

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Since we have Aomori completed till pass 2, the @mapbox/team-data is going to follow the similar procedure in the more dense Beppu-Oita region on Kyushu island from today http://tasks.openstreetmap.in/project/44

@mapconcierge would be great to have the OSM-JP community help with the validation of our work and feedback on the process.

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planemad commented Sep 22, 2015

Since we have Aomori completed till pass 2, the @mapbox/team-data is going to follow the similar procedure in the more dense Beppu-Oita region on Kyushu island from today http://tasks.openstreetmap.in/project/44

@mapconcierge would be great to have the OSM-JP community help with the validation of our work and feedback on the process.

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While realigning highway junctions, make sure to fix any kinks on branching roads.
untitled

Fix any incorrect highway junctions where there is no crossing
screenshot 2015-09-22 17 50 48
screenshot 2015-09-22 17 51 15

.

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planemad commented Sep 22, 2015

While realigning highway junctions, make sure to fix any kinks on branching roads.
untitled

Fix any incorrect highway junctions where there is no crossing
screenshot 2015-09-22 17 50 48
screenshot 2015-09-22 17 51 15

.

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nikhilprabhakar Sep 22, 2015

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@mapbox/team-data - Also merge and align the 4 way junctions which are split like this:
untitled

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nikhilprabhakar commented Sep 22, 2015

@mapbox/team-data - Also merge and align the 4 way junctions which are split like this:
untitled

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samely Sep 22, 2015

We already finished http://tasks.openstreetmap.in/project/31#, which is a pilot task for realignment and adding roads in Chiba.

Those are the number of editions per user

User Num OSM Objects Num Changeset Num nodes V1 Num nodes Vx Num ways V1 Num ways Vx Num relation V1 Num relation Vx
samely 77,862 333 45,220 18,416 5,856 8,370 0 0
RichRico 65,217 441 31,035 28,070 2,511 3,601 0 0
karitotp 64,290 215 32,538 21,848 4,531 5,370 0 3
Luis36995 53,561 429 24,981 21,864 2,751 3,965 0 0
calfarome 40,985 309 19,079 16,561 2,624 2,721 0 0
dannykath 38,549 653 20,531 11,481 3,563 2,973 0 1
ediyes 32,781 540 15,149 12,291 2,467 2,869 0 5
andygol 10,087 24 2,007 7,382 240 455 2 1
abel801 31,879 289 9,912 19,519 638 1,810 0 0
Rub21 1,815 31 759 711 131 214 0 0
pratikyadav 986 26 693 76 158 59 0 0
ruthmaben 767 18 236 405 58 68 0 0
jinalfoflia 311 7 240 5 52 14 0 0
nikhilprabhakar 310 5 254 9 34 13 0 0
srividya_c 294 17 167 14 75 38 0 0
ramyaragupathy 266 13 158 29 45 34 0 0
Chetan_Gowda 265 7 154 94 5 12 0 0
Total 420,225 3,357 203,113 158,775 25,739 32,586 2 10

samely commented Sep 22, 2015

We already finished http://tasks.openstreetmap.in/project/31#, which is a pilot task for realignment and adding roads in Chiba.

Those are the number of editions per user

User Num OSM Objects Num Changeset Num nodes V1 Num nodes Vx Num ways V1 Num ways Vx Num relation V1 Num relation Vx
samely 77,862 333 45,220 18,416 5,856 8,370 0 0
RichRico 65,217 441 31,035 28,070 2,511 3,601 0 0
karitotp 64,290 215 32,538 21,848 4,531 5,370 0 3
Luis36995 53,561 429 24,981 21,864 2,751 3,965 0 0
calfarome 40,985 309 19,079 16,561 2,624 2,721 0 0
dannykath 38,549 653 20,531 11,481 3,563 2,973 0 1
ediyes 32,781 540 15,149 12,291 2,467 2,869 0 5
andygol 10,087 24 2,007 7,382 240 455 2 1
abel801 31,879 289 9,912 19,519 638 1,810 0 0
Rub21 1,815 31 759 711 131 214 0 0
pratikyadav 986 26 693 76 158 59 0 0
ruthmaben 767 18 236 405 58 68 0 0
jinalfoflia 311 7 240 5 52 14 0 0
nikhilprabhakar 310 5 254 9 34 13 0 0
srividya_c 294 17 167 14 75 38 0 0
ramyaragupathy 266 13 158 29 45 34 0 0
Chetan_Gowda 265 7 154 94 5 12 0 0
Total 420,225 3,357 203,113 158,775 25,739 32,586 2 10
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calfarome commented Sep 22, 2015

Team progress in Chiba Prefecture, Japan.
japav22l

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nikhilprabhakar Sep 24, 2015

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@mapbox/team-data : I have come across a lot of duplicate roads in the current task that we are doing (Ishikawa). For now we will be ignoring these duplicate roads and will be taking care of it in the later passes.
duplicates

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nikhilprabhakar commented Sep 24, 2015

@mapbox/team-data : I have come across a lot of duplicate roads in the current task that we are doing (Ishikawa). For now we will be ignoring these duplicate roads and will be taking care of it in the later passes.
duplicates

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jinalfoflia Sep 24, 2015

@mapconcierge, there is this tunnel like construction, what should it be tagged as?
screen shot 2015-09-24 at 3 35 47 pm

Here is the link to the road.

jinalfoflia commented Sep 24, 2015

@mapconcierge, there is this tunnel like construction, what should it be tagged as?
screen shot 2015-09-24 at 3 35 47 pm

Here is the link to the road.

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Japan realignment progress map
screenshot 2015-09-24 17 06 00

https://gist.github.com/planemad/64da69b20ea9705b5673

  • Stroke width indicates importance based on population/road density
  • Colors indicate data status
    • Red: Not started
    • Yellow: Active
    • Brown: Pass 1
    • Orange: Pass 2
    • White: Pass 3
    • Green: Complete
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planemad commented Sep 24, 2015

Japan realignment progress map
screenshot 2015-09-24 17 06 00

https://gist.github.com/planemad/64da69b20ea9705b5673

  • Stroke width indicates importance based on population/road density
  • Colors indicate data status
    • Red: Not started
    • Yellow: Active
    • Brown: Pass 1
    • Orange: Pass 2
    • White: Pass 3
    • Green: Complete
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@jinalfoflia Coincidentally, I've been through that tunnel many times. It's an enclosed "snow shed"/"snow shelter" (スノーシェッド or スノーシェルター) situated at a mountain pass with hills rising on either side.

Here are some pictures of this structure.

It seems like the OSM tagging is covered=yes.

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friedbunny commented Sep 24, 2015

@jinalfoflia Coincidentally, I've been through that tunnel many times. It's an enclosed "snow shed"/"snow shelter" (スノーシェッド or スノーシェルター) situated at a mountain pass with hills rising on either side.

Here are some pictures of this structure.

It seems like the OSM tagging is covered=yes.

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jothirnadh Sep 25, 2015

@mapbox/team-data : Whenever there is a pre-defined tunnel or a bridge such as one in the below image, we are not making any changes due to lack of evidence if the crossing is a bridge or tunnel.
screen shot 2015-09-25 at 6 06 13 pm

jothirnadh commented Sep 25, 2015

@mapbox/team-data : Whenever there is a pre-defined tunnel or a bridge such as one in the below image, we are not making any changes due to lack of evidence if the crossing is a bridge or tunnel.
screen shot 2015-09-25 at 6 06 13 pm

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Progress

cc @mapbox/team-data

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planemad commented Sep 28, 2015

Progress

cc @mapbox/team-data

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jinalfoflia commented Sep 28, 2015

@friedbunny Thank you 👍

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jinalfoflia Sep 29, 2015

As there are multiple roads for re-aligning, I tend to miss a few of them. To better keep track of the roads that I modified, I use this style that highlights freshness of data.

  • Before I started editing, we can see that the roads are not highlighted.

screen shot 2015-09-29 at 6 33 35 pm

  • After aligning them, I uploaded the data. After that I downloaded the same area again, this time the edits made by the me were highlighted and thus it'll be easy to spot the roads that were missed.
    screen_shot_2015-09-29_at_6_37_36_pm

/cc @mapbox/team-data

jinalfoflia commented Sep 29, 2015

As there are multiple roads for re-aligning, I tend to miss a few of them. To better keep track of the roads that I modified, I use this style that highlights freshness of data.

  • Before I started editing, we can see that the roads are not highlighted.

screen shot 2015-09-29 at 6 33 35 pm

  • After aligning them, I uploaded the data. After that I downloaded the same area again, this time the edits made by the me were highlighted and thus it'll be easy to spot the roads that were missed.
    screen_shot_2015-09-29_at_6_37_36_pm

/cc @mapbox/team-data

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@jinalfoflia nice tip and its always a good practice to upload/download data to keep it in sync.

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planemad commented Sep 29, 2015

@jinalfoflia nice tip and its always a good practice to upload/download data to keep it in sync.

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@mapbox/team-data :
We've finished up the pass 2 in http://tasks.openstreetmap.in/project/45, let's start in new task http://tasks.openstreetmap.in/project/48

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Rub21 commented Sep 29, 2015

@mapbox/team-data :
We've finished up the pass 2 in http://tasks.openstreetmap.in/project/45, let's start in new task http://tasks.openstreetmap.in/project/48

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mapconcierge Sep 30, 2015

@Rub21
OK!! I've confirmed Fukushima Area.
Our students team will join today. :-)

@Rub21
Please add admin permission for Project 48 to me(MAPconcierge), I can translate in Japanese.

mapconcierge commented Sep 30, 2015

@Rub21
OK!! I've confirmed Fukushima Area.
Our students team will join today. :-)

@Rub21
Please add admin permission for Project 48 to me(MAPconcierge), I can translate in Japanese.

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@mapconcierge , That is great :) , could you give me your osm users, to add in Task Manager, hmm but I think first you have to login http://tasks.openstreetmap.in/, after it I can give you permission to access.

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Rub21 commented Sep 30, 2015

@mapconcierge , That is great :) , could you give me your osm users, to add in Task Manager, hmm but I think first you have to login http://tasks.openstreetmap.in/, after it I can give you permission to access.

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mapconcierge commented Oct 1, 2015

@rub
MAPconcierge
http://www.openstreetmap.org/user/MAPconcierge

@lxbarth
That's great!! :-)

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mapconcierge Oct 1, 2015

Japanese Students are doing now!!
12017556_1126710234024613_4210415448895765433_o

mapconcierge commented Oct 1, 2015

Japanese Students are doing now!!
12017556_1126710234024613_4210415448895765433_o

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This is amazing @mapconcierge !

Has there been any confusion from the students, maybe you can translate the instructions in Japanese for the task?

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planemad commented Oct 1, 2015

This is amazing @mapconcierge !

Has there been any confusion from the students, maybe you can translate the instructions in Japanese for the task?

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mapconcierge Oct 1, 2015

@planemad
Yes, of course!! :-)

mapconcierge commented Oct 1, 2015

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Yes, of course!! :-)

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@mapconcierge sorry, thought you were already admin, done now. Also lets have subsequent tasks on http://tasks.teachosm.org with multilingual instructions, it would be great to have the community select the area that needs to be worked on based on imagery coverage map https://gist.github.com/planemad/64da69b20ea9705b5673 .

You can count on the full force of @mapbox/team-data to join in as soon as a task is up 🚀

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planemad commented Oct 1, 2015

@mapconcierge sorry, thought you were already admin, done now. Also lets have subsequent tasks on http://tasks.teachosm.org with multilingual instructions, it would be great to have the community select the area that needs to be worked on based on imagery coverage map https://gist.github.com/planemad/64da69b20ea9705b5673 .

You can count on the full force of @mapbox/team-data to join in as soon as a task is up 🚀

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abel801 Oct 1, 2015

We don't have GSI imagery in Japan road improvement: Fukushima I think that we have finished the task.

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abel801 commented Oct 1, 2015

We don't have GSI imagery in Japan road improvement: Fukushima I think that we have finished the task.

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@mapbox/team-data , I've added other task to improve Japan, #49 - Japan road improvement: Mito if you can not find more blocks to work in #48 - Japan road improvement: Fukushima can you jump to this new one

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Rub21 commented Oct 1, 2015

@mapbox/team-data , I've added other task to improve Japan, #49 - Japan road improvement: Mito if you can not find more blocks to work in #48 - Japan road improvement: Fukushima can you jump to this new one

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@planemad
Okay thanks, I'm doing translation in Japanese. :-)
http://tasks.openstreetmap.in/project/48

mapconcierge commented Oct 2, 2015

@planemad
Okay thanks, I'm doing translation in Japanese. :-)
http://tasks.openstreetmap.in/project/48

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Mapping report of Ishikawa task
screenshot 2015-10-05 14 22 38

  • Task area: 8000 km2 (density: 200-300 persons/km2)
  • Pass 1: 3 days with 18 members (Mapbox)
  • Pass 2: 2 days with 19 members (Mapbox)
  • Notes

Key observations

  • Multi pass approach worked well to focus effort required in the task to the most important features
  • Confusion on how to handle blocks without satellite coverage: some were unlocked, some were marked as done. To avoid confusion, such blocks were validated to indicate they don't need work. An extra option to flag such blocks in a different color is required.
  • Time wasted to mass invalidate blocks before starting pass 2. This operation took around 30-45mins for 8 members. An admin option in the task for such operations will eliminate this.
  • Doing pass 2 separately helped identify incomplete work from pass 1. This helps in improving mapping quality.
  • Objects modified in pass 1 are of higher priority than objects in pass2, but the effort for each pass is almost equal.
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planemad commented Oct 5, 2015

Mapping report of Ishikawa task
screenshot 2015-10-05 14 22 38

  • Task area: 8000 km2 (density: 200-300 persons/km2)
  • Pass 1: 3 days with 18 members (Mapbox)
  • Pass 2: 2 days with 19 members (Mapbox)
  • Notes

Key observations

  • Multi pass approach worked well to focus effort required in the task to the most important features
  • Confusion on how to handle blocks without satellite coverage: some were unlocked, some were marked as done. To avoid confusion, such blocks were validated to indicate they don't need work. An extra option to flag such blocks in a different color is required.
  • Time wasted to mass invalidate blocks before starting pass 2. This operation took around 30-45mins for 8 members. An admin option in the task for such operations will eliminate this.
  • Doing pass 2 separately helped identify incomplete work from pass 1. This helps in improving mapping quality.
  • Objects modified in pass 1 are of higher priority than objects in pass2, but the effort for each pass is almost equal.
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@mapbox/team-data based on the above observations and a voice discussion, it was decided to continue mapping in separate passes for future tasks. The most important reason for this is to detect quality issues from the previous pass.

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planemad commented Oct 5, 2015

@mapbox/team-data based on the above observations and a voice discussion, it was decided to continue mapping in separate passes for future tasks. The most important reason for this is to detect quality issues from the previous pass.

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@mapbox/team-data : Do not combine roads with different maxspeed tags
speeddif

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nikhilprabhakar commented Oct 5, 2015

@mapbox/team-data : Do not combine roads with different maxspeed tags
speeddif

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mapconcierge Nov 4, 2015

Great works!! :-)

@pratikyadav
Okay, I will make Nagoya Mega Task soon!

mapconcierge commented Nov 4, 2015

Great works!! :-)

@pratikyadav
Okay, I will make Nagoya Mega Task soon!

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NatsukiTashiro Nov 5, 2015

I found and fixed this road in Nagoya city, Aichi pref.
image

NatsukiTashiro commented Nov 5, 2015

I found and fixed this road in Nagoya city, Aichi pref.
image

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@mapconcierge Great work 🎉

@ramyaragupathy can you write a OSM diary entry about Nagoya task and stats of Tokyo task in English?

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pratikyadav commented Nov 5, 2015

@mapconcierge Great work 🎉

@ramyaragupathy can you write a OSM diary entry about Nagoya task and stats of Tokyo task in English?

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Progress Update

Completed Tokyo Mega task- http://tasks.teachosm.org/project/91#

screen shot 2015-11-05 at 2 05 46 pm

screen shot 2015-11-05 at 2 04 35 pm

cc @lxbarth @maning @planemad @mapconcierge

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pratikyadav commented Nov 5, 2015

Progress Update

Completed Tokyo Mega task- http://tasks.teachosm.org/project/91#

screen shot 2015-11-05 at 2 05 46 pm

screen shot 2015-11-05 at 2 04 35 pm

cc @lxbarth @maning @planemad @mapconcierge

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This is HUGE, amazing work everyone! 💥

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planemad commented Nov 5, 2015

This is HUGE, amazing work everyone! 💥

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@ramyaragupathy can you write a OSM diary entry about Nagoya task and stats of Tokyo task in English?

There is a diary entry up for Nagoya task now. http://www.openstreetmap.org/user/ramyaragupathy/diary/36249.
Next action on @mapconcierge to get a Japanese version out!

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ramyaragupathy commented Nov 5, 2015

@ramyaragupathy can you write a OSM diary entry about Nagoya task and stats of Tokyo task in English?

There is a diary entry up for Nagoya task now. http://www.openstreetmap.org/user/ramyaragupathy/diary/36249.
Next action on @mapconcierge to get a Japanese version out!

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shvrm Nov 5, 2015

MASSIVE team effort! Great work everyone 🗾 !

shvrm commented Nov 5, 2015

MASSIVE team effort! Great work everyone 🗾 !

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In preparation for the new Osaka task, we will exclude the main Osaka City which we already did. We will include Tondabayashi, since the planned import will not include major roads that we are doing the realignment.

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maning commented Nov 6, 2015

In preparation for the new Osaka task, we will exclude the main Osaka City which we already did. We will include Tondabayashi, since the planned import will not include major roads that we are doing the realignment.

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In case you faced with warning that JOSM can't download area (a lot of data) - use next overpass query for downloading data

(
  way[highway];>;
  rel[highway];>;
  way[railway];>;
);
(._;rel(bn););
(._;rel(bw););
(._;rel(br););
out meta qt;
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Andygol commented Nov 6, 2015

In case you faced with warning that JOSM can't download area (a lot of data) - use next overpass query for downloading data

(
  way[highway];>;
  rel[highway];>;
  way[railway];>;
);
(._;rel(bn););
(._;rel(bw););
(._;rel(br););
out meta qt;
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Have filed an issue in iD to prompt alternate imagery based on map location: openstreetmap/iD#2826

This is an important issue to fix if we want new users to trace and realign from the correct source as we cannot expect them to know the availability of GSI and the tileurl.

cc @mapbox/team-data

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planemad commented Nov 6, 2015

Have filed an issue in iD to prompt alternate imagery based on map location: openstreetmap/iD#2826

This is an important issue to fix if we want new users to trace and realign from the correct source as we cannot expect them to know the availability of GSI and the tileurl.

cc @mapbox/team-data

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Completed Tokyo Mega task

HUGE! @pratikyadav - we should diary-post this in Japanese and English. Maybe we can get @mapconcierge's help?

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lxbarth commented Nov 6, 2015

Completed Tokyo Mega task

HUGE! @pratikyadav - we should diary-post this in Japanese and English. Maybe we can get @mapconcierge's help?

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shvrm commented Nov 6, 2015

💥 @pratikyadav!

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abel801 Nov 10, 2015

@pratikyadav I don't know where can I translate the instructions, in a gist or do I have to have access to the task?

abel801 commented Nov 10, 2015

@pratikyadav I don't know where can I translate the instructions, in a gist or do I have to have access to the task?

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@abel801 you can make a gist, and i'll update them on the task

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pratikyadav commented Nov 10, 2015

@abel801 you can make a gist, and i'll update them on the task

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abel801 Nov 10, 2015

@pratikyadav the translation to Spanish is Here

abel801 commented Nov 10, 2015

@pratikyadav the translation to Spanish is Here

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mapconcierge Nov 11, 2015

I've made a Osaka Mega Task now!! Boom! :-)
http://tasks.teachosm.org/project/105

2015-11-11 17 37 43

mapconcierge commented Nov 11, 2015

I've made a Osaka Mega Task now!! Boom! :-)
http://tasks.teachosm.org/project/105

2015-11-11 17 37 43

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maning Nov 11, 2015

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Nagoya DONE! 🚀

Next task is Mega Osaka: http://tasks.teachosm.org/project/105
Project is available in EN, ES, JP and RU languages.

Thanks! @mapconcierge

Again, a some reminders when you edit:

  • Before aligning, use the combine-highways script in JOSM to merge highways. Then, upload.
  • Use todo list plugin in JOSM, in order no to miss anything.
  • Changeset comment and source tag were not assigned automatically in JOSM. It works on iD. Make sure you copy the recommended changeset and source comment from the Instructions.
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maning commented Nov 11, 2015

Nagoya DONE! 🚀

Next task is Mega Osaka: http://tasks.teachosm.org/project/105
Project is available in EN, ES, JP and RU languages.

Thanks! @mapconcierge

Again, a some reminders when you edit:

  • Before aligning, use the combine-highways script in JOSM to merge highways. Then, upload.
  • Use todo list plugin in JOSM, in order no to miss anything.
  • Changeset comment and source tag were not assigned automatically in JOSM. It works on iD. Make sure you copy the recommended changeset and source comment from the Instructions.
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Nagoya DONE! 🚀

Incredible.

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lxbarth commented Nov 11, 2015

Nagoya DONE! 🚀

Incredible.

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We are almost done with Osaka. (21% left)

We are extending the list of mega tasks to one more by including Hiroshima and thus will be covered with most of the east coast coverage of GSI imagery.

link of geojson for Hiroshima task -> https://www.dropbox.com/s/y4l84qw2bjtrlcm/Hiroshima.geojson?dl=0

Next action

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pratikyadav commented Nov 17, 2015

We are almost done with Osaka. (21% left)

We are extending the list of mega tasks to one more by including Hiroshima and thus will be covered with most of the east coast coverage of GSI imagery.

link of geojson for Hiroshima task -> https://www.dropbox.com/s/y4l84qw2bjtrlcm/Hiroshima.geojson?dl=0

Next action

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mapconcierge Nov 19, 2015

I found this interest area in Nara city in OSAKA mega task.
But I guess, Under construction area. We shouldn't modify.
http://www.openstreetmap.org/edit?editor=id&#map=18/34.68176/135.80939
2015-11-19 9 53 49

mapconcierge commented Nov 19, 2015

I found this interest area in Nara city in OSAKA mega task.
But I guess, Under construction area. We shouldn't modify.
http://www.openstreetmap.org/edit?editor=id&#map=18/34.68176/135.80939
2015-11-19 9 53 49

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mapconcierge Nov 19, 2015

@pratikyadav
Okay, I will make a Hiroshima Task soon.
Wait a moment... :-)

mapconcierge commented Nov 19, 2015

@pratikyadav
Okay, I will make a Hiroshima Task soon.
Wait a moment... :-)

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wdolphin Nov 19, 2015

I found someone edited wrongly in Nara city, Osaka mega task. So I fixed.

1

2

wdolphin commented Nov 19, 2015

I found someone edited wrongly in Nara city, Osaka mega task. So I fixed.

1

2

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hackablemeister Nov 19, 2015

This area is off to the left side over a wide range in Matsuzaka city.
http://www.openstreetmap.org/edit?editor=id&#map=17/34.54174/136.55632
matsuzaka_city

hackablemeister commented Nov 19, 2015

This area is off to the left side over a wide range in Matsuzaka city.
http://www.openstreetmap.org/edit?editor=id&#map=17/34.54174/136.55632
matsuzaka_city

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hageshi1 Nov 19, 2015

I have no idea , how to fix? :-)

09b3309a9a7daec272403490b837d08b

http://www.openstreetmap.org/edit?editor=id&#map=19/34.70021/135.81981

hageshi1 commented Nov 19, 2015

I have no idea , how to fix? :-)

09b3309a9a7daec272403490b837d08b

http://www.openstreetmap.org/edit?editor=id&#map=19/34.70021/135.81981
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mapconcierge commented Nov 19, 2015

@abel801 Excelente!!

@planemad
Hiroshima Task!! http://tasks.teachosm.org/project/111
2015-11-20 7 38 06

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@mapconcierge Great 🎉
@hageshi1 Seems like a bridge connecting to a nearby parking area. Will be nice to add a layer=1 tag to this road.

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pratikyadav commented Nov 23, 2015

@mapconcierge Great 🎉
@hageshi1 Seems like a bridge connecting to a nearby parking area. Will be nice to add a layer=1 tag to this road.

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mapconcierge Dec 26, 2015

Thanks!! @pratikyadav
I've confirmed!! :-)

2015-12-26 11 05 09

mapconcierge commented Dec 26, 2015

Thanks!! @pratikyadav
I've confirmed!! :-)

2015-12-26 11 05 09

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@mapconcierge many thanks for all the help from the Japanese community in the task. We will continue to interact on our diary posts and the mailing lists.

No immediate actions here. Amazing job everyone!
🚀 🚀 🚀

cc @mapbox/team-data

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planemad commented Feb 29, 2016

@mapconcierge many thanks for all the help from the Japanese community in the task. We will continue to interact on our diary posts and the mailing lists.

No immediate actions here. Amazing job everyone!
🚀 🚀 🚀

cc @mapbox/team-data

@planemad planemad closed this Feb 29, 2016

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talllguy Mar 1, 2016

@mapconcierge I stumbled across this highway system overlapping water in #103. Since it is related to Japan, I thought you might want to check it out. Should that street network be on top of that water feature?

map link

2016-03-01 17_33_04-java openstreetmap editor

talllguy commented Mar 1, 2016

@mapconcierge I stumbled across this highway system overlapping water in #103. Since it is related to Japan, I thought you might want to check it out. Should that street network be on top of that water feature?

map link

2016-03-01 17_33_04-java openstreetmap editor

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jeffrey-friedl Jun 7, 2016

Is this project still ongoing? In many cases it's possible to use road-edge data from the Japanese government to guide extremely accurate updates that are not subject to image misalignment or elevation-change skew. I've been doing this around Kyoto a lot, but it'd be nice if more folks could do it.

jeffrey-friedl commented Jun 7, 2016

Is this project still ongoing? In many cases it's possible to use road-edge data from the Japanese government to guide extremely accurate updates that are not subject to image misalignment or elevation-change skew. I've been doing this around Kyoto a lot, but it'd be nice if more folks could do it.

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miurahr Jun 7, 2016

@mapconcierge I stumbled across this highway system overlapping water in #103. Since it is related to Japan, I thought you might want to check it out. Should that street network be on top of that water feature?

There were actually a many roads in this area. When the earthquake / tsunami in 2011 caught here, many of this area, Kamatani and Nagato region, fully submerged.

We should mark these roads as non-usable or lost.
Is this an enough answer for #103 ?

miurahr commented Jun 7, 2016

@mapconcierge I stumbled across this highway system overlapping water in #103. Since it is related to Japan, I thought you might want to check it out. Should that street network be on top of that water feature?

There were actually a many roads in this area. When the earthquake / tsunami in 2011 caught here, many of this area, Kamatani and Nagato region, fully submerged.

We should mark these roads as non-usable or lost.
Is this an enough answer for #103 ?

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Is this project still ongoing?

@jeffrey-friedl No, this is not an on-going project. But I would love to learn more about road-edge data from the Japanese government. Can you provide some relevant link?

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pratikyadav commented Jun 7, 2016

Is this project still ongoing?

@jeffrey-friedl No, this is not an on-going project. But I would love to learn more about road-edge data from the Japanese government. Can you provide some relevant link?

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jeffrey-friedl Jun 7, 2016

You may need to create a (free) account to access this link, but the data is downloadable at:

http://fgd.gsi.go.jp/download/kibansel.php

It's the "道路縁" field. The data is difficult to work with, but in the end you can turn in into a GPX/KML file that ends up drawing the edges of roads. Using that as a guide, a human can infer road paths.

Here's an example that you can load into an openstreetmap editor or Google Earth or other visualizer: http://regex.info/tmp/road-edge-sample.gpx

The data is usually very high quality, but occasionally it is out of date due to recent construction. Also, in some areas the data seems more like an old planned road, rather than actual construction. But mostly it's spot on correct.

I came across your project because it updated a road I had used this technique with. The project update broke map correctness because the GSI image from which your update was based was old... the road had since been move. (I'm still trying to get that update, changlist #35265050, reverted.)

jeffrey-friedl commented Jun 7, 2016

You may need to create a (free) account to access this link, but the data is downloadable at:

http://fgd.gsi.go.jp/download/kibansel.php

It's the "道路縁" field. The data is difficult to work with, but in the end you can turn in into a GPX/KML file that ends up drawing the edges of roads. Using that as a guide, a human can infer road paths.

Here's an example that you can load into an openstreetmap editor or Google Earth or other visualizer: http://regex.info/tmp/road-edge-sample.gpx

The data is usually very high quality, but occasionally it is out of date due to recent construction. Also, in some areas the data seems more like an old planned road, rather than actual construction. But mostly it's spot on correct.

I came across your project because it updated a road I had used this technique with. The project update broke map correctness because the GSI image from which your update was based was old... the road had since been move. (I'm still trying to get that update, changlist #35265050, reverted.)

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