office mapping of lagos state #UNIQUEMAPPERTEAM# still mapping out vulnerable places in nigeria

Can someone help to remove duplicate entries in presets. I found at least 40% of the items are HTML “1” (alt+1)

Thanks

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#uniquemapperteam# mapping out states vulnerable to flooding in Nigeria.

mapping areas decleared vulnerable to flood in niger

Hej

Jag undrar om det likt danska OSAK [1], [2] finns en sån databas?

Hur många ställen i SE saknas det husnummer? 30%? 50% av alla adresser? Finns det en översikt?

Hur är det med postkoderområderna? Är gränserna för dem fria?

[1] http://danmarksadresser.dk/dar [2] https://wiki.openstreetmap.org/wiki/OSAK

The unforgettable experience at 2018 FOSS4G in Dar es salaam, Tanzania.

Introduction.

Excitement started from the day I received an email that I had won the travel grant to the 2018 FOSS4G in Dar es salaam. It all began when I submitted my paper to be considered for the presentation at the 2018 FOSS4G. Clean Streets Kampala is a MapUganda project running in Kampala City with the major aim of creating open data to make the city clean. My paper was subjected to voting and it emerged as one of the accepted presentations at the conference with #374 as its identity. My presentation can be found here

The journey to Dar es salaam.

It was the best experience to cross my country for the first time to attend the first international conference. Me and a team of youth mappers left Kampala on Saturday August 25th using a bus for Dar and the journey was fun. We arrive in Dar es Salaam on the morning of August 27th. We checked in our hotel and then went to the conference center where we were welcomed to the conference, given tags, t-shirts and other stuff.

The conference.

The 2018 FOSS4G was my first ever FOSS4G conference to attend and my experience is unforgettable because of so many friends that I made, workshops I attended and presentations. The conference organization was on point and the most amazing part of the conference was the use of Attendify app that made the whole conference paperless. There was also a lot of new things to learn during workshops and presentations like how different geo-spatial practitioners are using open source tools in their daily work, Gender inclusiveness in OSM communities, new softwares and many more. I also got a chance to attend the HOT summit where the teams were presenting about their activities in Africa and beyond. My favorite presentations and workshops included; * An interactive understanding of free and open source geospatial ecosystems. * Modeling natural hazard in gvSIG * Missing maps year 4! * Esri Youth Mappers workshop at Ardhi University.

The social events

2018 FOSS4G social events were amazing. 1. The first social event at The Badminton institute in made me meet new friends like Esau from Tanzania and David Williams from California. 2. The Gala at Golden Turip hotel was full of fun with alot of dance moves from almost every attendee of the conference and also perfomance from the local dance groups. 3. The Travel grant program event at High Spirit was also interesting. It gave us a chance to play cards that were given out by Geocat.

About Dar es salaam

It feels good to be in Dar es salaam. The cold breath of the coast of the Indian ocean. The people were so hospitable and welcoming. There was always good service in the hotel where we were staying. I liked the sea food and coconut in Dar es salaam. I got a chance to use the Mwendokasi public transport system that i found so interesting, very fast and so cheap. Also Uber, Taxify were available as transport sources in Dar.

Thanks.

I would like to Thank the organizers of the 2018 FOSS4G conference for their wonderful work, for the travel grant program. Special thanks also go to the HOT team and all other sponsors for making the conference happen. Asante sana

The 2018 FOSS4G left no one behind.

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Ethiopia's main economic activity is Agriculture. Smallholders in Ethiopia farm around 37% of the lands and the rest 8% goes to the large-scale commercial farms. Large-scale commercial farms produce crops such as rice, maize, coffee, tea, cotton, pulse, rubber, and palm oil.

Invest in agriculture is the most important and most effective strategy for poverty reduction in rural areas. As part of Ethiopia’s development strategy, the Ethiopia government has set out to attract more foreign investment in large-scale commercial agriculture as outlined in this policy.

Mapping Commercial farms with the World Bank

In the large commercial farm mapping task with the World Bank, we mapped more than 190 large commercial farms in lowlands Ethiopia. Ethiopia lowlands, usually defined as places below 1,500 meters in altitude, account for approximately 60 percent of Ethiopian territory and 12 percent of the population.

Mapping process:

Big farmlands can be visible from high-resolution satellite imagery. But such satellite imagery in OpenStreetMap for Ethiopia is outdated and high cloud cover. These factors make mapping difficult.

To better locate large commercial farmlands, we used multiple satellite imagery and tools: High-resolution Satellite imagery (e.g. ESRI base map), Sentinel-2 Agriculture mosaic, and Java OpenStreetMap editor (JOSM).

• Satellite Imagery ESRI World Imagery was used for mapping because it is up to date than others in Ethiopia lowlands

• Sentinel-2 Sentinel-2 is open source imagery provided by ESA, it’s in 10m resolution with multi- spectral bands. It used to perform terrestrial observations like forest monitoring or land cover changes detection. The imagery is updated every 16 days. To make agriculture band mosaic, band 11, 8 and 2 combination specifically to spot farmlands.

• Tool for mapping JOSM is a desktop application that allows mappers to trace, map and manipulate data easily, thanks to its plugins and stability. For mapping were used ESRI and Sentinel-2 images both as base layers in JOSM. After 2 weeks of mapping, 194 commercial farms were added to OpenStreetMap. Before and after mapping: Previously, 55 farms were mapped in OpenStreetMap within Ethiopia lowlands. After, we mapped 194 farms in Ethiopia lowlands.

In the following table, you can see the number of farms added in Ethiopia’s lowlands according to size farm in hectares. We are looking for some validation, and Let me know if you have any questions and feedback!

India has a road network of over 56,03,293 kilometres(56 lakhs kilometres) as on 31 March 2016, the second largest road network in the world. Openstreetmap has about 15 lakhs of road length mapped in India.

What percentage of the population can reach the nearest hospital in 20 minutes?

What percentage of the population can be rescued by fire and rescue department in case of emergency in 30 minutes ?

We should place our hospitals and fire and rescue stations with the support of spatial data analysis.

For that, we need data, Open Data !!!

Data from https://metrics.improveosm.org/

• Q3 2016 - 11,71,820 Kms
• Q3 2017 - 13,02,207 Kms
• Q3 2018 - 15,05,239 Kms

Last one year OSM has mapped about 2,03,032 Kms (from Q3 2017 to Q3 2018). Previous one year OSM has mapped about 1,30,387 Kms (from Q3 2016 to Q3 2017).

Myself coming from WikiProject Indian roads in english Wikipedia, maps national highways in India. While national highways constitute 1.8% of Indian roads, they carry 40% of the traffic. I am involved in mapping state highways, major district road and other roads in Kerala too.

National Highway

India:National_Highways_(statewise)

Every month egazette notifications are monitored. For every new NH announced it will be mapped in OSM and an article will be written english wikipedia. A wikidata QID is generated for each National Highway, that links Wikipedia article and mapped National highway in OSM.

Results maps

• National Highways in India by highway number(See the Map)
• National Highway 48 Spur Map
• And Central Govt website for BharatMala project uses our OSM data. (without attribution)

Current Status

• Total no of NH :- 590 (around)
• No of NH mapped in OSM :- 560 - Our Working page (If anyone interested join to help)
• No of NH having article in English Wikipedia:- 437 Our Working page (If anyone interested join to help)

You also can contribute to other road networks in India here.

Some of the road network is also completely mapped fully.

• OSM page:- State Highway (Kerala)
• Wikipedia page :- State highways in Kerala

Roads are mapped manually at the rate of 2 lakhs kilometer per year. OSM India would take 20 years to completely map full road network in India(if it is done manually).

Two things we should try:-

1. Govt should release road data in KML format through National Data Sharing and Accessibility Policy in Government Open Data License .
2. Road data import using machine learning.(Kerala Road import)

About 1.5 lakh people die on Indian roads every year. We need better road data to plan, monitor, and manage infrastructure more effectively.

Общие советы как маппить подъезды

• Можно мапить через подъезд и потом в JOSM за пару минут внести инфу в пропущенные. Потому что первая квартира в текущем подъезде = последняя в предыдущем + 1. И наоборот. Последняя в текущем = первая в следующем - 1.
• А в типовых домах можно мапить только последний подъезд, копируя тэги с готовых подъездов. В типовых домах номера подеъздов и квартиры совпадают. Поэтому наносим тэги в последний подъезд просто для того, что бы знать тип дома.

Обзор подходов для маппинга подъездов

При маппинге подъездов есть 2 подхода:

1. Сбор данных (фото или на бумагу) и потом их внесение с помощью JOSM. Тут может помочь gps трэк что бы восстановить маршрут.
2. Непосредственное внесение Vespucci и последующая корректировка в JOSM

Попробовав оба подхода, могу заявить о преимуществах второго.

1. На внесение данных в Vespucci тратиться почти тоже время что и на фото, но фотки надо потом просматривать и вносить с них данные.
2. Вечером/ночью фото особо не по делаешь. Tак же если какие-то стрёмные люди стоят возле подъезда, фотографирование может вызвать вопросы.
3. На месте проще привязать подъезд на карте - к подъезду в доме и ошибки в больших домах исключаются.
4. Так же фото может получиться расплывчатым.
5. Смысл использовать листик, если можно сразу вносить в карту.

Мой итоговый способ

1. Нанести подъезды на карту. С тэгами entry entrance=staircase; access=private; add:flats=?? и ref=??
2. Тогда они подсветятся на валидаторе подъездов, его можно подсматривать в браузере на смарте.
3. Пользуясь Vespucci проехаться по району на велосипеде. За 3 часа получилось замапить подъезды 36 домов.
4. Отредактировать данные с помощью JOSM. Так как данные внесены корректно и распознавать их на фото не нужно, то на этот пункт уходит минут 10.

Mapping Accra was fun . #OSM#

flooding has been a major environmental problem to rivers state , and its coastal communities. this has impacted negatively on the state, disrupting activities and causing many homeless and vulnerable to water borne diseases.flooding is an annual occurring phenomenon here in rivers state,and one reason is because of its low elevation......join UNIQUE MAPPER TEAM today and lets map out states and communities vulnerable to flood.
#proudlyaunquemapper#

Defining reversion

Through a healthy community and map-gardening many of the critical issues get noticed and acted upon immediately. A revert is absolute and removes changes indefinitely from the map. Repairs are more manual, often done with a mix of reversion and manual fixes, which are harder to track. osm-revert-changesets npm module is aimed at tracking absolute reverts and works well at 1:1 (changeset to changeset) reverts.

Reversion rules used

Currently, the module uses a starting set of 2 rules to identify reverted changesets.

• Deletions of created features

  • If a feature gets deleted at 2nd version. The edit that created the feature at 1st version is reverted.

• Feature state is reset

  • If Nth version of a feature is reset to N-2th version of a feature, then modifications that were done at N-1th, were reverted.

Usage

npm install osm-revert-changesets

const revertChangesets = require('osm-revert-changesets'); revertChangesets('62632427').then((list) => console.log(list));

Log [ '62629726' ]

This is the input used - DWG repair changeset https://www.openstreetmap.org/changeset/62632427. And this is the changeset that got reverted https://www.openstreetmap.org/changeset/62629726.

Use cases

• Reverted could be a flag for changesets in OSMCHA. Reverted changesets could be marked as bad automatically and they don't have to be reviewed again saving review time. I ticketed this feature request in OSMCHA at https://github.com/willemarcel/osmcha-django/issues/160

• For large reverts conducted by DWG, this module could be used to return a list of reverted changesets to understand extent of damage, accounts involved and map area affected.

• When changesets get reverted, the edits are removed from the map indefinitely. This module could be used to track amount of reversion on OSM.

Known issues

• This module uses and depends on augmented changesets generated from osm-compare project used in OSMCHA. Example changeset: https://s3.amazonaws.com/mapbox/osm-adiff-compare/production/56917896.json
  • If a changeset is not available in this bucket, the npm module throws failed to fetch errors
• Module fails for reversion of changesets that have modified a feature more than once. Example is https://www.openstreetmap.org/way/622327697/history. This feature is created at V1, modified at V2, and then deleted at V3.

I would like community help in improving the reversion rules and to expand success rate of this module. Shifting to public API with longer historical data for getting feature history would improve reliability. If you have feedback and ideas for improvement, please file issues over at https://github.com/manoharuss/osm-revert-changesets/issues/.

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I wonder why I spent so much time in and out on US Visa application when I can invest such time helping out my brothers in Philippines being ravaged by disastrous Typhon!!! Just occurred to me I can leave the Visa system for a while to cool off while I contribute to task #5236.And it was a great idea coz I just mapped a number of buildings.Let's keep mapping using every slight opportunity on net!!!!#uniquemappersteam Now I can check back on the US visa application system to continue!!!

After finishing mapping a lot of Paramus, (that one place with three malls) I decided to map Alpine. While I didn't really consistently map Alpine and instead mapped a lot of other random areas in Bergen County during the time I set my eyes on Alpine, today I decided to seriously revisit Alpine and finished mapping it.

It was way easier than Paramus, mostly because there is a lower population density and a lower area, hence less building to map. However, as Alpine is one of (if not the most) expensive places to live in within the entire United States, every building required way more nodes than usual. The houses are so large, some people could basically kill to live there!

A lot of my edits outside Alpine were in Hackensack. Downtown Hackensack has a lot of buildings and a lot of parking spaces. I'm going to map Hackensack very soon.

Next up is going to be River Edge, and then Palisades Park. I really love Palisades Park and every time I go there I feel great. Meanwhile, River Edge has a great public library, and something just makes Kinderkamack Road very lovable.

On OSM, Bergen County is improving quickly. At this rate, I don't see much, if anything stopping me from going on for at least another month.

You can click below to see Alpine:

D'après une réflexion à haut-clavier de Marc_marc sur talk-fr

"Il y avait aussi l'idée d'envoyer un message de bienvenue aux nouveaux, pas assez de monde pour le faire."

osmbot-test

Today I arose at 0400 hours to catch an early flight to Turkmenbashy, then upon arrival there rode a bus for three hours to Garabogaz over the bumpy P-18 "highway" (actually a 1-1/2 lane country road most of the way) to witness the opening of the Garabogaz Carbamide (Urea) Plant. This will be an important augmentation of the export potential of Turkmenistan so is something that needs to be mapped, including contact information, which I added this evening upon return to Ashgabat. A small number of Mapillary images are being uploaded as I type this.

真的是很亂，把室內室外都放置一起，真的很難用。最好能讓OpenStreetMap支援內部導航與樓層圖資建立才能提升可用度

I added maxspeed:source as an error (its source:maxspeed) to the wayproblem analyzer. Northrhine-Westfalia

Interestingly this slipped through for some months.

Recently had a delightful narrowboat cruise around the Milton Keynes area (yes the canal route is remarkably green here). When I checked mapping, I found that, a few years ago, much of the towpath had been mapped as 'bridleway'. Now, canal users did originally use horses to tow their boats but that does not imply any general right of access, unless a towpath has been adopted as a PROW. Most of the UK Canal Network is now controlled by the Canal and River Trust and there are signs to say that pedestrians may use the towpath, while cyclists are 'permissive' and horse-riders should seek permission. I assume this applies to all their canals, see https://canalrivertrust.org.uk/enjoy-the-waterways/cycling/cycling-faqs . I would support towpaths being mapped as bicycle = permissive (or yes); foot = yes; highway= footway; operator = Canal and River Trust; towpath = yes - and only designation= if a PROW. Where cycle networks run on towpaths then I've seen the use of highway=cycleway etc. Any other views? Maybe https://wiki.openstreetmap.org/wiki/United_Kingdom_waterways needs updating to reflect the available Canal and River Trust policies?

A new release is ready for download! Several new features and changes were made. For example the isochrone module is now open source! Read more about this release here