This post is neither created nor endorsed by companies involved in establishment of payment systems listed below.

The OpenStreetMap payment: tag allows mappers to tag stores that accept certain payment methods (cash, debit and credit cards, etc.). Currently, the wiki only accepts those payment methods, so now I decided to introduce new ones in Indonesia.

What’s new?

First, let me introduce five new tags: three of them are dedicated to Indonesia’s newly-established GPN (Gerbang Pembayaran Nasional, literally National Payment Gateway). Currently it is a debit card switching network, similar to that of VISA and MasterCard (Maestro). Here, I propose payment:gpn_debit to be used in all merchants accepting GPN debit cards.

The Indonesian government has plans to replace existing payment networks in Indonesia with GPN, so does with credit cards and mobile wallets (e.g. Apple Pay and Google Pay). I am proposing payment:gpn_credit and payment:gpn_qris to be reserved for later use. The latter refers to the QR Indonesian Standard (QRIS) payment, similar to the SGQR system in Singapore.

The rest of these tags are payment:akulaku and payment:grabpay, reserved for Akulaku Pay and GrabPay. Both payment systems are currently used in multiple countries across Southeast Asia. In Indonesia, GrabPay has merged to Indonesian digital wallet app OVO, so merchants using OVO-GrabPay QR code sticker (see below) should be tagged with payment:grabpay=yes and payment:id_ovo=yes.

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well take it I shouldn’t be here since I don’t see how this site is going to be of any help to me im sorry I some how ended up here while going through blogs on websites and apps to meet and make new friends, well im here, thanks google.

3 x Recording Studios, Hipster Art Galleries inside an old warehouse, a hack-space (3d-printing, computers, carpentry + lathes, available for all but oh! so secret, invitation only) and so on & on, all in one day - you will perhaps understand why I've the Council has coined the name The Creative Quarter†.

After a little backfill the day began with a single block, in which the first buildings were (what appears to be) a closed-down Persian-cuisine restaurant + the first Recording Studio.

Aberdeen Street + Carlton Road

Pistachio seems to be closed, and I suspect that the 5 flats above it are unused as well.

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Not really sure how to use this but here we gi.

tl;dr the release notes 🙂

The biggest new feature in version 3.3 is the introduction of reviewing other mappers’ tasks. If you would like to have someone else review the tasks you complete, you can let MapRoulette know. If you’re an experienced mapper, you can volunteer to review other people’s work. In this post we explain how this works, and review some of the other goodies that made it into this version.

Reviewing Tasks

As you fix things via MapRoulette, you can indicate that you would like someone else to review your work. Here’s how you do that. When you mark a task as fixed, you will see a new confirmation dialog:

If you check the box ‘Need an extra set of eyes?’, the task will be added to the review queue. You can also set a global preference in your User Settings to have all your work reviewed by default (you can override it for individual tasks if desired).

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If a Missing Maps mapathon was hosted this year in Dorchester, would any local OSM contributors be interested in mapping dedicated to humanitarian action and community development, to revolutionise disaster management, reduce risks, and contribute to achievement of the Sustainable Development Goals?

Checking interest before organising something :-)

Adela

Here is regular-expression based OverPass query for finding some of the broken opening_hours values:
opening_hours~/(mon|tue|wed|thu|fri|sat|sun |sund)/i
http://overpass-turbo.eu/s/I3I
Does anyone know how to propose adding this to existing error checkers?

Hint if you are trying to fix in semi-batch mode: copy/paste the bad value to opening_hours evaluation tool and it will do a partial correction for you.

I’ve been meaning to add this path to the map for months, but I’m glad I went and checked it out in person because my memory of it is from the 1990s — and it’s changed a bit:

The City of Regina added 7.5 cm ortho air photos of the city from early May 2018 to their open data website. I contacted them about enabling WMS so I could use the imagery in JOSM and they were happy to oblige.

Their server is slow serving up imagery so you may want to turn it on and off while panning to a new location. I checked the alignment with the surveyed road centerline dataset and it is dead center for the most part. Some areas such as around the university are a bit off, so don’t go moving all the roads to match the imagery.

The Bing imagery for the area is newer, but this imagery is much more detailed with flat lighting and no shadows.

Adding Image Server to JOSM

https://opengis.regina.ca/arcgis/rest/services/CGISViewer/Airphoto_Regina_2018_7_5cm/ImageServer

The get capabilites URL needed for setting up the imagery in JOSM is the WMS link in the upper left.

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On the other side of Longden Street to Allan Joyce Architects, the subject of my previous Diary, is H3 Performance, a Fitness Centre ensconced within a large former warehouse:–

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Allan Joyce Architects occupies the former Midland Bank on Bath Street and, in recent times, has purchased property adjacent to that building and then both developed & built an impressive set of apartment blocks at 22-26 Bath Street.

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[repost from the OpenStreetMapUS blog]

The OpenStreetMap US board elections for 2019 have completed! As an election observer, I was tasked with making sure the elections were impartial and not unduly influenced, and that the vote counting was done properly.

This was an unusual election in that we had two separate questions:

The first question was to fill the open seat vacated by Maggie Cawley, who resigned to take on the role of Executive Director. The second question was a simple confirmatory vote of approval for the remaining four board members. Given that there was no election held for the board back in March (because only five candidates were nominated for five open seats), the board decided it was appropriate to hold a confirmatory vote since we were already holding an election anyway for the open seat.

The results of the election are as follows:

The existing board members were confirmed overwhelmingly, with 98 voting “yes” and 6 voting “no”. In the final round of ranked choice voting Minh Nguyễn was elected to the open seat. Congratulations Minh!

Analysis

If you don’t care about the nerdy mechanics of this Ranked Choice Voting election, you can stop reading now. But if you’re interested in a deeper analysis of the results, read on:

For OpenStreetMap US elections, we use Ranked Choice Voting (RCV), which means that each voter has the opportunity to rank all the candidates in order of preference. When RCV is used to elect multiple seats at the same time, it’s also known as Single Transferable Vote (STV), and when it’s used to elect a single seat (as was the case in this election), it’s sometimes called Instant Runoff Voting (IRV).

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On Saturday 6th April 2019, following the IWD event, we had a practical session where new members of UniqueMappersTeam were introduced to openstreetmap platform and registered. Every member/participant was opportuned to map buildings and roads. The following day being Sunday 7th April,2019. Members of Unique Mappers Team visited mercy and praise orphanage. As a voluntary act

On the friday, 5th of April 2019. I, Miss Ifeoma Ononiwu, the current Director LetGirlsMap, of UniqueMappersTeam Nigeria, alongside the female leadership of UniqueMappersTeam in persons of Miss Mercy Banu, the Secretary General, Miss Godslove Ishola the Director Media and Blessing Oshoma, the Director welfare planned and organized the IWD event with the theme: Geospatial technologies, the solution for women transformation. We had guest speakers in persons of Mrs Chioma Nwankwo (E. D, Mercy & praise orphanage homes) who spoke to us on “Being focused in a world full of distraction, Miss Timipre George ( graduate mentor and MSC holder in GIS) she elaborated on the topic “ geospatial technologies: the solution for women transformation “. Also, the Team coordinator analyzed the “ Mapathon & Catchaton’ .We had word puzzles & fastest finger in between the talks. We also had cake cutting and refreshment. Finally I anchored a panel discussion featuring the guest speakers where we analyzed the team ‘Achieving balance for better’ with discussions on Health and Safety, Women Empowerment, The woman in Humanitarian Response. Attached to the panel discussion was ‘Question and answer sessions’ Group photos were taken afterward.

There was a lot of constraints in the beginning and I had to make some last-minute decisions. But it was a huge success

This town has a lack of houses mapped

These last month I’ve been working on St Lucia map adding information from different sources. It’s still a work in progress but there is now enough data to start creating topographic maps from osm data of Saint Lucia.

Forest landcover

Most of the island weren’t covered, I’ve added forest landcover on the totality of the Island. However this landcover is not very precise. The project https://osm.earth/project/43 help me to organize the refinement of the landcover.

Forest Reserve

I’ve added the Forest Reserve boundaries. The data comes from Saint Lucia Open Data. Some of the boundaries seem to be defined by physical element like river or road. In these case I removed the imported boundaries to replace them by the physical element on the map.

District Administrative Boundaries

I’ve imported the administrative boundaries of the St Lucian District. See OSM Wiki St Lucia District Import for more informations.

Rivers and Streams

Using elevation data and the Caribbean Handbook on Risk Management I’ve started adding the localisation of more streams and rivers.

Communities

I’ve added all the communities name from St Lucia Open Data. The localisation of the settlement center come from personnal knowledge and satellite view so it’s not very accurate but the name of general area should be correct.

Paths and tracks

I’ve added new path and tracks, from satellite view and GPS tracks.

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How well mapped is a town in OSM? There are many ways to answer that question depending on how you define “well mapped-ness” (or just mappedness). One simple approach is to look at the number of points of interest (POI) mapped. My assumption is that POI are a higher order feature: mappers establish a base layer of roads first, then move on to enriching the map with POI. So having more POI in an area could be a proxy for mappedness. A benefit is that it’s easy to measure. All you need is the POI data from OSM, and town / city boundaries. I took a stab at it. Here’s a preview:

Prepare the data

Getting POI

We need POI from OSM as the quality indicator. As a proxy for POI, I use nodes that have a name tag. This lets me sidestep the curious OSM attribute hierarchy that would require selecting subsets of tourism, shop, amenity and a few other attribute keys from the data. There’s two ways to go about this. For smaller areas you could use Overpass, using a query like this one:

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Last week, MAFF (Ministry of Agriculture, Forestry and Fisheries, Japan) has published farmland data for entire Japan.

It is under MAFF original license, but it allows pretty similar to JP Gov’s Open License. (based on JP Gov’s default one, but seems more open) I guess it need to ask them if we could use/import them to OSM, but I hope we have a chance :)

Sample

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After a 6+ year hiatus, I have resumed working on OSM entries, for my local area of travel. Mostly this covers Gilchrist, Levy and Dixie counties in Florida, with occasional visits to Gainesville (Alachua county) and Ocala (Marion county).

The “largest Rolls-Royce funeral fleet in the world”

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