i was able to contribute in the mapping of Abi LGA in Cross Rivers State and also attend the mapathon meeting in Nsukka Enugu via zoom
Users' Diaries
Recent diary entries
It was a wonderful experience mapping and I represented quite a good number of buildings on the map.
This diary entry was formerly titled “Sock puppet accounts on OSM”.
What is a sock puppet account?
A sock puppet account is defined as a person whose actions are controlled by another. It is a reference to the manipulation of a simple hand puppet made from a sock and is often used to refer to alternative online identities or user accounts used for purposes of deception. Online, it came to be used to refer to a false identity assumed by a member of an internet community who spoke to, or about, themselves while pretending to be another person.
The use of the term has expanded to now include other misleading uses of online identities, such as those created to praise, defend, or support a person or organization, to manipulate public opinion, or to circumvent restrictions, such as viewing a social media account that they are blocked from, suspension, or an outright ban from a website. A significant difference between a pseudonym and a sock puppet is that the latter poses as a third party independent of the main account operator. Sock puppets are unwelcome in many online communities and forums. https://en.wikipedia.org/wiki/Sock_puppet_account
Why do people create sock puppet accounts?
One reason for sock puppeting is to circumvent a block, ban, or other forms of sanction imposed on the person’s original account. A sockpuppet is a false online name and profile created to hide the author’s identity, usually because of personal, political, or financial ties to whatever is being discussed or reviewed. (News Literacy Project, Para. 2)
Sock puppet account vandalizes OSM
I’ll mostly be fixing railroads on OSM, like improving alignment of train tracks so they’re better aligned with those shown in aerial imagery. Most railroads on OSM were imported from TIGER and may not align very well with train tracks shown in aerial imagery because most TIGER roads and rail lines were mainly used for taking census surveys and not for drawing actual alignments of roads and train tracks. I fixed a few rail lines by adjusting the train track nodes and adding new nodes to the train track ways so they’re better aligned with aerial imagery.
I am sharing some of my favourite OSM-related tools/websites/apps with a very brief description, including the most popular ones (you never know). I’ve certainly forgotten many of them and don’t know as many.
Websites
- overpass turbo: Fundamental website for database queries. Also useful for custom QA filters.
- taginfo: Check which tags are most used, their usage over time, the most used values for each tag etc. For the history of a tag there is also this site.
- RapiD: iD on steroids. Reports possible missing buildings and streets.
- osm-revert: Revert entire changesets (it replaced Revert UI which is no longer supported).
- Level0: Revert individual nodes. It is also a useful text editor for changing several tags at once. However, read this first.
- NotesReview: Filter OSM notes by user, date, text etc. There is also a site by Pascal Neis.
- Disaster Ninja: Not its main purpose, but there is an interesting layer called ‘Building Quantity’ in case you want to find areas with unmapped buildings.
- YoHours: To simplify the compilation of the opening_hours=* tag.
- How Did You Contribute: Stats about users. There’s also your changes’ heat map.
- Is OSM up-to-date?: Interesting site created by an Italian that tells you which nodes are less up-to-date. If there is nothing to update you can still leave a check_date tag.
- Field Papers: Edit OSM by taking notes on paper.
Renderer
- F4map Demo and OSM Buildings: In case you want to see the 3d tags rendered.
- Indoor=: In case you want to see the indoor=* tags rendered.
- Open Etymology Map: Another site created by an Italian. It renders the name:etymology tag. There is also a site that facilitates tagging it.
Wiki
Inspiré du travail de SK53[1] j’ai ressorti les couverts et me suis relancé sur R (Un langage de programmation destiné au traitement de données). L’occasion d’à la fois me dérouiller un peu, de voir les interactions entre les communautés R et OpenStreetMap, et d’apprendre à jouer avec des données spatiales. Le code est fonctionnel mais nécessite encore un peu de peaufinage[2].
R n’est pas fourni par défaut sur ma distribution, ce qui a donc nécessité les bricoles d’usage pour l’installer avec l’interface RStudio – À défaut d’alternatives. Je ferai abstraction des installations de paquets nécessaires pour les librairies R par la suite (De tête il y en a eu pour pas moins de 2 Go).
En route
J’avais comme point de départ l’entrée de journal très succincte, ainsi qu’un morceau de code partagé sur le Fediverse :
qplot(x=area,data=ten,
geom="histogram",binwidth=25)
+aes(y=cumsum(
after_stat(count))
)
+labs(x="area of pitch",
y="count", title="Area of Tennis Courts in Great Britain on OSM")
+scale_x_continuous(
breaks=seq(0,2500,250),
limits=c(0,2500)
)
Bien qu’utilisant une syntaxe qui ne me sied guère le code semble relativement propre – Spoiler, je ne l’utiliserai finalement pas –, reste à savoir comment générer le jeu de données : je n’ai pas trouvé d’explication sur le passage d’une requête Overpass vers le calcul de surfaces. Ni le nettoyage des données au passage, je suppose qu’il y a aussi bien des nœuds, que des polygones, que – sigh – des multipolygones.
Spatial R : Comme le Spécial K™ mais avec plus que des lignes
J’utilise les paquets suivants :
- dplyr : Manipulation de données générale ;
- osmdata, sf, et units : Géographie ;
- ggplot2 : Standard pour les graphiques.
Overpass dans R
En lieu et place d’un jeu de donnée externe, osmdata permet de directement faire une requête Overpass. Je l’utilise pour rechercher les chemins (ouverts ou fermés) qui portent les attributs leisure = pitch et sport = tennis.
En la entrada anterior, listé (y voy a procurar mantenerla actualizada) las aplicaciones nativas para celular que permiten mejorar los datos de OSM. En esta entrada, voy a listar las páginas web que están adaptadas tanto para computador como para celular para mejorar los datos. Esto quiere decir, aplicaciones que van más allá de ser un POI editor (que recibe datos y no más), y en cambio le genera un formulario preguntando sobre las etiquetas faltantes para ese tipo de objeto.
- MapComplete - una serie de mapas temáticos acerca de OSM, donde puedes mejorar los datos de cada tema editando directamente. Algunos temas: basuras, cafés, restaurantes, educación, puntos de carga de carros eléctricos, entre muchos otros más.
- OSM Go - una página con interfaz sencilla para editor objetos existentes y mejorar, o para agregar POIs. También existe como aplicación para Android, pero no la pude instalar.
- HealthSites - una página web para mejorar los datos asociados con la parte de salud: hospitales, clínicas, médicos, farmacias, etc.
- OSM Hydrant - una página para editar todo lo relacionado con bomberos: estaciones, hidrantes, reservas de agua.
- WheelMap - una página para editar lugares para accesibilidad en silla de ruedas.
Si conocen otra aplicación que encaje en esta lista, con gusto la incluiré.
Otras entradas similares de mi diario:
- Aplicaciones para capturar fotos y que se usan para mapear.
- Aplicaciones para mejorar el mapeo en terreno
Esta entrada la hice por la pregunta de Yéssica De los ríos sobre el uso de OSM Go y qué alternativas había.
In a comment on their recent diary entry publicerination suggested that use of leisure=pitch with sport=tennis was always intended for single tennis courts. I had my doubts given that someone in San Francisco was adding quantity, and I have added pitch:count and there is also a documented tag courts. Were we just the odd mappers out?
A relatively quick way to answer this was looking at tennis courts in the UK as I have a 1-2 year old import available for Great Britain. Overpass can also be used to collect the data, but it’s not possible to calculate areas directly. I ran a query which pulled tags, the geometry and the area of each pitch in square metres and saved this first as geojson and then as a csv file.
Wasted my time
I can’t get this crap to let me look up anything not even my own address. What is up with this? And y’all want a donation? For what ?
Je suis sur le point de partir pour le GR 10 et je m’apperçois qu’il manque un grand nombre des horaires d’ouverture des magasins dans les villages que traverse le GR 10. C’est une chose qui peut être très importante; aussi mon objectif est-il de compléter un maximum ces données. Si d’autres veulent se lancer dans l’aventure, ce serait formidable.
The setup
This diary is a follow on to my previous entry detailing Adding addresses with JOSM and MapWithAI. You’ll need all of the setup there plus the Conflation Plugin.
Finding a good area
The key to doing this quickly is to find an area with:
- High quality address data with good spatial positioning
- High density of building outlines to act as targets for the address data
- Extremely low current address density (resolving conflicts is important but does slow you down!)
The area I’ve been spending most of my time recently is Phoenix, AZ which has great address data from the [National Address Database] and a high level of building coverage. The suburb are also quite sprawling which means you can cover a lot of very regularized ground very quickly. Here’s a good candidate for rapid addition:
Оказывается дополнять карты - это круто. Наконец-то вчера добавил дорожки в рощу рядом с домом. Давно смущало что на карте были указаны не все.
English version: PlayzinhoAgro is dead
não está morto fisicamente, mas estou deixando de ser um mapeador ativo.
Durante os últimos três anos, dediquei-me intensamente ao OSM e foi uma experiência incrível. No entanto, tem sido desgastante e só consegui continuar graças à comunidade brasileira do Mastodon.
Ter tanto tempo para dedicar ao mapeamento foi um privilégio, mas recentemente fui diagnosticado com Autismo e estou planejando mudar de cidade para entrar na universidade. Antes disso, terminarei a importação dos edifícios de Fortaleza e farei mais uma última importação de endereços. Os dados das 90 cidades, incluindo 20 com dados de buildings footprint, estarão disponíveis no Github, a maioria com a licença CC0.
Os projetos de UX/UI estão disponíveis no Github e continuarei mantendo e melhorando para uma proposta melhor.
O OpenCollective continuará aberto até o final de maio, quando pretendo terminar todos os projetos em andamento. Atualmente, recebo cerca de 170 reais (cerca de 33 dólares) por mês. Para continuar, precisaria de cinco vezes mais, ou seja, cerca de 800 reais (158 dólares). Infelizmente, esse valor é extremamente baixo e, se não conseguir atingir minha meta, terei que dar um tempo no meu trabalho com o OSM e procurar um trabalho remunerado.
Obrigado pela oportunidade de fazer parte desta comunidade e por todo o apoio recebido até agora. Espero poder continuar contribuindo no futuro.
Versão original em português: PlayzinhoAgro está morto
Not physically dead, but I am no longer an active mapper.
For the past three years I have dedicated myself intensely to OSM and it has been an amazing experience. However, it has been exhausting and I was only able to continue thanks to the Brazilian Mastodon community.
Having so much time to dedicate to mapping has been a privilege, but recently I was diagnosed with Autism and I’m planning to move away to enter university. Before that, I will finish importing the buildings in Fortaleza and do one last address import. The data from 90 cities, including 20 with building footprint data, will be available on Github, mostly under CC0 license.
The UX/UI designs are available on Github and I will continue to maintain and improve them for a better proposal.
The OpenCollective will remain open until the end of May, when I plan to finish all ongoing projects. Currently, I receive about 170 reais (about 33 dollars) per month. To continue I would need five times that amount, i.e. about 800 Reais ($158). Unfortunately, this amount is extremely low and if I can’t reach my goal, I will have to take a break from my work with OSM and look for a paid job.
Thank you for the opportunity to be part of this community and for all the support I have received so far. I hope to be able to continue contributing in the future.
I haven’t used this diary up until now, but better late than never! Figured it was time to start logging my mapping projects. :)
One of the first things I noticed when I was starting to map sport pitches in the Bay Area was the use of the quantity= tag. It was often used to map multiple pitches under one area instead of mapping each pitch individually. I’ve also seen it used to note how many of the same pitches were near each other. For example 3 basketball courts next to each other would all have a quantity=3 tag. Although I’ve seen the latter usage far less.
Mapping multiple pitches under one area makes the map less accurate, as the leisure=pitch tag is only supposed to be used for one pitch.
I’ve been fixing pitches mapped with this tag for a while when I came across them. But yesterday I learned how to use overpass turbo and now I’m able to find every pitch using the quantity= tag far more easily. I’ve been spending last night and today fixing every pitch with a quantity= tag and plan to finish fixing them in the next few hours.
Example
These 3 tennis courts were all mapped out using one tennis court area with a quantity=3 tag. In order to fix this I swapped out the leisure=pitch tag for a landuse=recreation_ground tag to turn the area into a recreation ground.
I then swapped the quantity=3 tag for a courts=3 tag, which in contrast to the quantity= tag is a registered tag on the OSM wiki.
Lastly I mapped each individual tennis court. In this case I also added a barrier=fence tag to the recreation ground.
This was a concrete lot 2 years ago. It is now low-income apartment building with 59 Apartments. Address 335 W 11th Ave. Eugene Oregon 97401
Edit: The imagery, according to one commenter, needs permission from the governement to be able to use it, my bad for mentioning a WMS link that i though had an open license to it.
Edit 2: Someone uploaded the database of Montreal buildings. Thanks for everyone that helped.
i swear i might have a dream of me just adding buildings in OSM but can i like, get some help with adding the buildings because this is gonna take too long. if anybody is actually reading this then if you want to help me, add buildings using Geodesie Quebec satellite as its 100% accurate , you just need to add parameters for it to function as custom satellite. https://servicescarto.mern.gouv.qc.ca/pes/services/Territoire/RESEAU_GEODESIQUE_WMS/MapServer/WMSServer
I’m slowly catching up with the mass of data I’ve collected over the past couple of years - uploading footage to Mapillary and the use of OSMUK Cadastral Parcels have improved my editing but vastly increase the time it takes to edit the map. Plus I’ve found other things to do in my spare time.
I’m probably going to pause my Isle of Wight edits now, work on some south of Basingstoke, then try to make it out to Farnborough, Woking, and Wokingham to make sure my data isn’t out of date before editing the map round there.
