Proofreading, add forum link
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# 'Pin je Punt' - one year later
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# 'Pin je Punt' - one year later
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About a year ago, we launched a mapping campaign at the request from [_Visit Flanders_ (Toerisme Vlaanderen)](https://toerismevlaanderen.be/pin-je-punt). (The project is explained below)
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About a year ago, we launched a mapping campaign at the request from [_Visit Flanders_ (Toerisme Vlaanderen)](https://toerismevlaanderen.be/pin-je-punt). This mapping campaign is focussed on some touristical POI, such as charging stations for ebikes, benches, picnic tables, public toilets and playgrounds. FOr this, a [custom mapcomplete theme was created](https://mapcomplete.osm.be/toerisme_vlaanderen). (For a full explanation, see the last paragraph)
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A part of the campaign involved a guided import. The agencies had many datasets lying around (e.g. about benches or picnic tables) which they wanted to have imported in OSM. As doing a data import is hard - and the data was sometimes outdated, we opted for another approach: for every possible feature, a map note was created containing a friendly explanation and instructions to open MapComplete - which would close the map note on behalf of the contributor, marking them "imported", "not found" or "not valid" depending on what the contributor chose.
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A part of the campaign involved a guided import. The agency had many datasets lying around (e.g. about benches or picnic tables) which they wanted to have imported in OSM. As doing a data import is hard and the data was sometimes outdated, we opted for a crowdsourced approach: for every possible feature, a map note was created containing a friendly explanation, information links, the tags to create and instructions to open MapComplete.
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When opened in mapcomplete, the user would be prompted to `import` the point or to mark it as `not found` or `duplicate`. All of these actions close the note with a small message on what the chosen action was.
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Most map notes are closed by now, but the central question in this analysis today is: _should remaining map notes be closed in batch, or do we leave them open for longer_? Note that input of the local community will be gathered as well - this article will mostly serve as a point to start the discussion.
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Most map notes are closed by now, but the central question in this analysis today is: _should remaining map notes be closed in batch, or do we leave them open for longer_? Note that input of the local community will be gathered as well - this article will mostly serve as a point to start the discussion.
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@ -34,15 +35,16 @@ Most of those notes have been opened by a [dedicated account](https://openstreet
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## Over time
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## Over time
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The following shows a graph of open notes for this campaign over time. The blueish line shows the total amount of Open Notes, which sharply jumps upwards when a new dataset was added.
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How did the notes evolve over time? Are trends visible?
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The following graph shows the number of open notes for this campaign over time. The blueish line shows the total amount of Open Notes, which sharply jumps upwards when a new dataset was added.
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Other lines represent the amount of notes closed by an individual contributor. As is visible, A127 and Eebie have done a tremendous amount of work, whereas around 20 other contributors have contributed a modest amount of points.
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Other lines represent the amount of notes closed by an individual contributor. As is visible, A127 and Eebie have done a tremendous amount of work, whereas around 20 other contributors have contributed a modest amount of points.
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![](./AllStatistics.png)
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![](https://raw.githubusercontent.com/pietervdvn/MapComplete/develop/Docs/Reasonings/AllStatistics.png)
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The amount of work represents a clear power curve, with most of the work done by a few contributors and many contributors with a few imports.
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The amount of work represents a clear power curve, with most of the work done by a few contributors and many contributors with a few imports.
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![](./ContributorsPie.png)
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![](https://raw.githubusercontent.com/pietervdvn/MapComplete/develop/Docs/Reasonings/ContributorsPie.png)
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Another interesting graph is how much of the features got imported and how much got refused. As it turns out, 53% of all features got imported. Note that, if the point gets added by using mapcomplete, the note will be closed with the message 'imported'. As many contributors used other editors, I'm checking for other keywords as well to mark them as 'imported', 'duplicate' or 'not_found'. Of course, humans are messy and the keyword-based approach is incomplete and inexact. 13% of closed notes could not be matched automatically.
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Another interesting graph is how much of the features got imported and how much got refused. As it turns out, 53% of all features got imported. Note that, if the point gets added by using mapcomplete, the note will be closed with the message 'imported'. As many contributors used other editors, I'm checking for other keywords as well to mark them as 'imported', 'duplicate' or 'not_found'. Of course, humans are messy and the keyword-based approach is incomplete and inexact. 13% of closed notes could not be matched automatically.
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@ -55,7 +57,7 @@ At last, even though no notes were created if a similar feature was already in O
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## Some other numbers
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## Some other numbers
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In total, **2921** notes have been created, of which **78%** has been handled - that are 2301 that have been reviewed and imported (or closed with an indication that they cannot/should not be imported).
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In total, **2921** notes have been created, of which **78%** has been handled - that are 2301 that have been reviewed and imported (or closed with an indication that they cannot/should not be imported). Excluding the later benches of Oostende, only 7% (!) remains open.
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That is a huge effort, of which I would like to thank all involved. Especially **A127** who closed **684** notes and **Eebie** who handled **474** notes - your work is amazing!
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That is a huge effort, of which I would like to thank all involved. Especially **A127** who closed **684** notes and **Eebie** who handled **474** notes - your work is amazing!
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@ -69,20 +71,35 @@ The response on the datasets and the imports varied heavily by the type of the f
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The **benches and picnic tables** are relatively straightforward. Visiting the place - physically or virtually with aerial imagery or Mapillary - suffices to decide if the feature still exists. As such, those tasks got handled relatively quickly. Only where no Mapillary and no aerial imagery are available, the map notes remain.
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The **benches and picnic tables** are relatively straightforward. Visiting the place - physically or virtually with aerial imagery or Mapillary - suffices to decide if the feature still exists. As such, those tasks got handled relatively quickly. Only where no Mapillary and no aerial imagery are available, the map notes remain.
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The other datasets proved to be harder. The **playgrounds** often needed some local knowledge - e.g. a playground might only be accessible to the members of the local youth organisation; or the adminstration eagerly labeled a patch of grass where kids could play some football as a proper playground. Some of them are hard to do remotely.
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The other datasets proved to be harder. The **playgrounds** often needed some local knowledge - e.g. a playground might only be accessible to the members of the local youth organisation; or the administration eagerly labeled a patch of grass where kids could play some football as a proper playground. Some of them are hard to do remotely.
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The hardest dataset to handle are the **toilets**, especially toilets in municipality buildings and social facilities. They cannot be seen on aerial imagery by definition, neither is Mapillary available. Furthermore, these facilities are often subject to opening hours and the rules about use by the public might change. In other words, a survey is necessary for pretty much every feature to import.
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The hardest dataset to handle are the **toilets**, especially toilets in municipality buildings and social facilities. They cannot be seen on aerial imagery by definition, neither is Mapillary available. Furthermore, these facilities are often subject to opening hours and the rules about use by the public might change. In other words, a survey is necessary for pretty much every feature to import.
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![](./StatePie.png)
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![](https://raw.githubusercontent.com/pietervdvn/MapComplete/develop/Docs/Reasonings/StatePie.png)
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## The reaction
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We had a few negative reactions on creating this amount of notes. The arguments mostly boiled down to either:
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- new people will not bother to create a new note if the map is already littered with open notes
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- it breaks my workflow, I want to see and handle new notes.
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For the second complaint, you can use [this mapcomplete theme which shows notes and allows to filter them or create a new note](https://mapcomplete.osm.be/notes.html#filters).
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I don't agree with the first complaint as well, as the OpenStreetMap-website only shows a limited number of notes too. This can be easily seen by zooming out when the notes are open; you can see them disappear: https://imgur.com/a/PkwRe0h
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![Attempt for embedding a ](https://i.imgur.com/niZDR5E.mp4)
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## Conclusions
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## Conclusions
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In hindsight, the guided import was a success. By creating a note, the process was very discoverable and many people helped out, including two 'hero importers' (but there are social limits to the amount of notes that can be created like this). For small datasets (<100 points), I would be tempted to automatically create this kind of notes again. For bigger datasets (especially if >500 points), I'd probably opt to use MapRoulette to store the data and to mark it as 'done', as not to pollute the notes with them.
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In hindsight, the guided import was a success. By creating thousands of notes, the process was very discoverable and many people helped out, including two 'hero importers', but there are social limits to the amount of notes that can be created like this. For small datasets (<100 points in a single city), I would be tempted to create this kind of notes again. For bigger datasets (especially if >500 points), I'd probably opt to use MapRoulette to store the data and to mark it as 'done', as not to pollute the notes too much with such an import.
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Especially small datasets which can be armchair-mapped have good levels of completion.
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Especially small datasets which can be armchair-mapped have good levels of completion.
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As there still is some activity on the notes, there is no reason to close them. On the other hand, there isn't _much_ activity anymore. The datasets that are mostly done have a few very hard cases left where a survey is needed; but as only a few notes are still resting, it doesn't bother a lot of people...
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As there still is some activity on the notes, there is no reason to close them. On the other hand, there isn't _much_ activity anymore. As usual with this type of project, the last 10% is also the hardest to do and will probably take a long time before being handled. At the same time, there are only 79 notes remaining from the earliest import, so they don't bother many people. (The benches-dataset of Oostende still has 334 open notes, about one third of the dataset.)
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Please, [discuss this on this forum thread]( https://community.openstreetmap.org/t/should-the-import-notes-of-the-pin-je-punt-campaign-be-closed/9408). Remarks about the methodology or other musings are welcome here of course.
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## The project in a nutshell
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## The project in a nutshell
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