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Mapping missing roads in cities of Malaysia, Indonesia and Vietnam #32
Objective: Grab team has mapped these regions in the past and this time we are going through the existing road geometries and add the missing ones if any. We'll be reviewing and mapping the following features: missing roads, road classification, and check for intersection configurations and alignment accuracy.
Regions we are reviewing/mapping:
Regions we are reviewing/mapping:
Workflow: We'll be following the same workflow as mentioned in our wiki - https://github.com/GRABOSM/Grab-Data/blob/master/Data%20Improvement%20Projects and https://wiki.openstreetmap.org/wiki/Grab#Process_Flow
Validation: We'll be following the validation guidelines mentioned in our wiki: https://wiki.openstreetmap.org/wiki/Grab#Quality_Process
Source: Digital Globe Premium -- we would refer to others if need be.
Edge cases: None at the moment, we'll post it as a subsequent comment if need be.
Team involved: The Grab Data team
Do reach out to us if you have any questions or suggestions on the same. Happy Mapping!
In the state of Kedah, Malaysia; while I'm trying my best to respond to changeset discussion left by the team; I reckon a serious issue was discovered.
Outside urban areas, usually there would be a huge area of paddy fields. Sure, it would indicate areas that would be likely unmapped. Example, this place (aerial imagery available to be exploited for OpenStreetMap) which is about 30km away from the state capital, Alor Setar.
Typical highways around this area includes
These are usually can be found randomly next to canals, slithering around the paddy fields. It may be paved with rough gravels or simply just bare ground.
Hopefully these issue will be rectified by the team, because apparently I can see a lot of major highways were mapped and they started to appear quite densely on the OpenStreetMap.org website too.
P.S. I'll try my best to respond to discussion left by the team, one by one.
Hello @AkuAnakTimur, thank you for bringing it to our attention. We mapped these roads based on the historical data, that is, previously the local mappers have added these to be unclassified roads and we did not want to abruptly change the classification.
Also, the OSM policy for an unclassified road in rural areas states this:
Can you help us better understand why were they mapped/tagged as unclassified routes previously? As well as the reason they were considered as tracks now. Since one of the roads connect to major roads, we'd want to retain the connecting roads to be unclassified itself.
Thanks again for the feedback and our team really appreciate your responses and help as they are helping us better our approach.
Hello, thank you for the reply.
It's undeniable that some highways across rice fields can be mapped as
Puzzles may appear at some certain places: some streets or paths across these agricultural landuses may not be
It may appear from imageries that these highways: ways 706559610 and 708427243 ; (in OpenStreetMap terminology) appear suitable for motor vehicles. However, from ground truth (see above picture), it's not the case. It may serve as a driveway (
Those two highways were changed back into major highways after I responded to one of your team's edit.
The two highways - ways 708700387 and 708700386 - just opposite to those first two, were mapped incorrectly. Good news, corrections were applied after I've left a discussion on one of the many changesets.
From ground truth, here's what actually the latter two look like:
In a nutshell: these situations show how tricky it could be to map across the paddy fields in the state of Kedah, Malaysia. I have provided some examples where the team actually would really have to seek opinion from at least a local mapper: everyone wants minimal inaccurate data in OpenStreetMap.
There may be more mistagged highways across the area of the team's editing interest, but I will be happy to let the team know sooner or later.
If these tricky ways need to be classified, by hook or by crook, in reality there's no shortcut for that. I might be very wrong too. Look for hints in the imagery, especially the density of any nearby dwellings. Lower the classification of any ways if it reckoned not to be very important in terms of traffic.
I will comment more on other related issues - allow me some more time.