Mapathona Maranhão
Sábado dia 06 de Março de 2021, Entre 00:00h e 23:59h, (UTC-3), horário de Brasília.
A UmbraOSM ( União dos Mapeadores Brasileiros do Openstreetmap) lança um desafio para os mapeadores do OpenstreetMap no site Maproulette e tem como objetivo corrigir Nomes de Ruas e Avenidas no Estado do Maranhão.
O desafio terá os exemplos de como corrigir os Nomes de Ruas e Avenidas e tem a camada de Nomes de Rua para ser inserida no Editor ID na opção Customizada do Editor ID, e só inserir a url ,
Inserindo a Camada Customizada no ID.
https://api.maptiler.com/maps/b2037b15-5614-4fed-9608-9830b8dc574a/256/{zoom}/{x}/{y}.png?key=YmPoUxbTlEHlrASzv56Z
Inserindo a Camada Customizada do Editor ID, Vai aparecer os nomes de Ruas e Avenidas na Cidade onde está sendo Mapeada. contamos com a participação de todos os mapeadores nesse importante desafio. Cidades a Serem Mapeadas no Estado do Maranhão.
Nomes de Rua na Cidade de Urbano santos-MA. https://maproulette.org/browse/challenges/17039
Inserir Nomes de Rua na Cidade de Pedreiras-MA. https://maproulette.org/browse/challenges/17040
Nomes de Rua na Cidade de Trizidela do Vale-MA https://maproulette.org/browse/challenges/17041
Inserir Nomes de Rua na Cidade de Grajaú-MA. https://maproulette.org/browse/challenges/17042
Mapeamento de Estradas e Edificios. https://tarefas.mapeia.space/?area=6876
Vamos Mapear no dia 06 de Março no #OpenDataDay
Desafio UMBRAOSM – Inclusão de Nomes de Ruas e Avenidas no Estado do Maranhão. Brazil.
Raphael de Assis
Mapeador Brasileiro.
UMBRAOSM - http://www.umbraosm.com.br
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Saturday, March 6, 2021, Between 00: 00h and 23: 59h, (UTC-3), Brasília time.
UmbraOSM (Union of Openstreetmap Brazilian Mappers) launches a challenge for OpenstreetMap mappers on the Maproulette website and aims to correct names of streets and avenues in the state of Maranhão.
The challenge will have examples of how to correct the Names of Streets and Avenues and has the Street Names layer to be inserted in the Editor ID in the Custom option of the Editor ID, and only insert the url,
Inserting the Custom Layer in the ID.
Inserting the Customized Layer of the Editor ID, the names of Streets and Avenues will appear in the City where it is being mapped. we count on the participation of all mappers in this important challenge. Cities to be Mapped in the State of Maranhão.
Street names in the city of Urbano santos-MA. https://maproulette.org/browse/challenges/17039
Insert Street Names in the City of Pedreiras-MA. https://maproulette.org/browse/challenges/17040
Street Names in the City of Trizidela do Vale-MA https://maproulette.org/browse/challenges/17041
Insert Street Names in the City of Grajaú-MA. https://maproulette.org/browse/challenges/17042
Roads and Buildings Mapping. https://tarefas.mapeia.space/?area=6876
Let’s Map on March 6th at #OpenDataDay
UMBRAOSM Challenge - Inclusion of street and avenue names in the State of Maranhão. Brazil.
Brazilian Mapper.
Practice walking before starting to run again. Before returning to running, you must be able to walk for at least 45 minutes (no pain when returning from injury). Walking restores soft tissues (muscles, tendons, ligaments, fascia, connective tissues), preparing them for more serious stress.
If you are taking a break due to an injury, consult your doctor before returning to running.
Exercise a little, but regularly. After a long break, it can be difficult to get back to your regular running rhythm. But it’s more important to focus on consistency at first.
Required: * Public Administration (PA) offices dataset * Openrefine tool
Create Openrefine project from PA offices dataset. Filter as needed (ie: titolo_resp=”Sindaco” and Regione=Abruzzo)
Here you can find the resulting umap, used for add and detail missing municipality townhalls.
We (community working group) have been compiling a list of OSM-related events inspired by International Women’s Day / Month or the 2021 theme #ChooseToChallenge.
Please add any that we have missed!
Para mapear elementos rurales se pueden verificar datos a través de fuentes oficiales en portales digitales. Mis referencias en el mapa no incluyen sitios web porque estas suelen cambiar de dirección en cuanto cambia la administración del gobierno.
Mencionaré una lista de algunas fuentes que utilizo para temas rurales y naturales con sus direcciones actuales al momento de la escritura de este post:
INEGI Mapa Digital de México: portal interactivo que contiene capas de muy diversos temas que pueden solaparse en fondos tanto de INEGI, OpenStreetMap, Satélite de Google, entre otros. http://gaia.inegi.org.mx/mdm6/
INEGI Uso de Suelo: Contiene cartas impresas de información de vegetación y sus clasificaciones en diferentes escalas. https://www.inegi.org.mx/temas/usosuelo/
INEGI Topográficas. Contiene cartas impresas de elementos en el paisaje (nombres de localidades, granjas, nombres de lugares no poblados, picos sierras, valles, ríos, etc) en diferentes escalas. https://www.inegi.org.mx/temas/topografia/
Red Nacional de Caminos (oficial): contiene un mapa interactivo de diseño muy burdo pero muy útil que muestra información detallada de cada camino. http://189.254.204.50:83/
CONABIO Sistema Nacional de información sobre Geodiversidad: Contiene capas con muy variados temas de información de biodiversidad, reservas ecológicas, uso de suelo, estudios muy específicos o generales. Agrupados en categorías y con enlaces a fundamentos, metodología y vigencia de la información. Es interactivo y se puede solapar con fondos de OpenStreetMap, Esri, y Mapbox. http://www.conabio.gob.mx/informacion/gis/
Geoportal CONABIO Contiene la misma información del portal anteriormente mencionado, pero se puede solapar en mapas de Google, tanto satélite como relieve. http://geoportal.conabio.gob.mx/
Ajout d’un champ existant, bordant la route du village des Monceaux à Carquefou.
I have recently written a 5-minute summary on OSM related activities that happened in Nepal over the period of 2020. Please feel free to go through the blog and provide your valuable feedback and suggestions! Crossposting from Medium
In 2020, I made at least one edit a day for 332 days. You can see the screenshot of my HDYC profile on March 2, 2021. During the year, I mostly mapped buildings, roads, and landuse around Nepal and Afghanistan.
I have an ambitious goal of making at least one edit per day in 2021. Let’s see how far can I go!!
Ajout d’informations sur mon habitation (ma maison), ajout d’un trottoir existant depuis peu.
https://zh.wikipedia.org/wiki/荷兰大学列表
These two Geoglyph lines 80m x 50m are just a few fractions of a degree from a right angle. One thing rarely seen out here are right angles and this one, even though not perfect is pretty close. These two line proves to be obtuse in geometry, than a perfect 90 degrees.
There are two other lines that resemble the letter V. This land is fairly flat.
I have some key questions regarding the lack of 90 degrees and while I brought it up before, it really begs the question why is it so rarely seen here? Objects tend to point north, or magnetic north.. also they likely line up with constellations. Unlike any other earlier cultures, at least in terms of Geoglyph lines, right angles, 45 degrees, 30 degrees.. are rarely ever seen. Why? If you think about it.. any alien worth his two cents in being able to do interstellar travel, would likely have those all over, even like they do with crop circles. Speaking of circles, those are also a shape never seen on these these lands… why?
14°39′23″S, 75°18′3″W -14.6563906, -75.3007687 Changuillo, Province of Nasca, Ica, Peru
In fall of last year the Bing aerial imagery of Springfield, IL was refreshed, finally fixing a huge north/south tear down the middle of the city that had made adding accurate geometry within it nearly impossible. The new imagery is from that summer and is absolutely fantastic. It even covers outlying towns like Chatham, Rochester, Riverton, and Spaulding. I’ve been hard at work fixing alignment problems and adding new roads and buildings that I had heard about but hadn’t had a chance to survey. This and the pandemic are largely responsible for taking me over 270 mapping days last year, a personal best.
I’m not really hardcore about adding individual parking spaces, but when I saw the iD preset for accessible parking spaces I knew it was something I could and should add whenever possible. As a result, over 5,400 accessible parking spaces in the Springfield metro area are now mapped, accounting for more than half of those mapped in the United States as of this post.
I’ve been pretty good about denoting accessible crosswalks, even those with tactile pavement, but I definitely need to do another pass through some neighborhoods now that the imagery has been updated. The city does have a rather robust sidewalk/crosswalk improvement program and there are probably dozens of walkways that have been upgraded since I last mapped them all. Additionally, I’d like to be more fastidious about adding entrances to buildings/businesses so that distances can be determined between them and their associated accessible parking spaces.
For the longest time I was hesitant to delve into adding lane information for segments of roads, because… well, I just didn’t like the idea of splitting roads into a bunch of different segments. I thought it would make it more tedious to update speed limits and things like that going forward.
Well, last year I finally took plunge and I estimate Springfield is at least 95% complete in that regard. Does it make things more tedious to add more detail later? I’ve been adding snowplowing info for our emergency snow routes recently and yeah, it’s a bit tedious, but at a certain point you just need to accept that more detail is going to require more work, that it’s not going to be a convenient couple of clicks. Only makes the sense of accomplishment more pronounced, if you ask me.
I’m not saying everyone should start doing this immediately. But once you feel comfortable, when you’re doing your umpteenth pass over your local area and wondering what more you can add, it’s an interesting project to take on. You’ll learn a lot about your city.
I’m no cyclist, but I recently picked up an escooter for quick trips to the store and to commute to work, and since there’s some overlap in regards to infrastructure and amenities, I’ve been plugging away at updating what I can. Bike paths and lanes were already more or less squared away before I came along, but amenities like racks or stands, not so much. But now I can say that OSM is the most accurate source of that information for Springfield than any other. That isn’t to say it’s complete, mind you! Just that I’ve cataloged enough to surpass the “official” maps of cycling amenities available from the city and local cycling groups.
I see this taking me down an entirely new rabbit hole. The cycling infrastructure in Springfield is severely lacking and when I commute to work I find myself opting to take my scooter down alleys in hopes of minimizing interaction with vehicle traffic. I did a substantial amount of planning before attempting my first commute on the scooter and I thought I had determined the perfect route, but it turns out vehicle traffic doesn’t hold a candle to the real enemies: smoothness and incline. I had seen those tags before but did not fully appreciate what they represented until I had to deal with them. There are some astoundingly wretched alleyways around here and they absolutely need those tags added to them.
Smoothness seems straightforward (though a bit subjective) but incline I’ll have to do some digging on to figure out how to record properly. If anyone knows of tools/gadgets to get the job done, let me know. I’m willing to spend some money on it.
As the transit planner at SMTD you’d think I’d be all over this, but - and I think I said this in a previous entry - my personal opinion is that if there’s an existing GTFS feed for a transit agency in an area then they shouldn’t be mapped in OSM, and OSM-based apps should instead pull from those feeds. It’s cleaner and more timely than relying on some random user to update OSM to reflect changes to routes. Not to mention, OSM will never be able to do what GTFS-realtime does, for obvious reasons.
That said, I did stumble upon this project that facilitates the synchronization of transit stops between GTFS and OSM and it looks promising. I love the idea of being able to upload our stops directly to OSM and being able to get subsequent additional info via OSM edits that we can then pull back into our data. I see the utility in that and if anything I’d like to up the ante: do the same for the rest of the GTFS feed. If I could fully replicate/sync our static GTFS in OSM via an automated/batch process I would integrate it into my workflow in a heartbeat.
Let’s see… another thing I’ve been getting into is denoting lamp_mount for highway=street_lamp. Downtown Springfield has a curious mix of bent_mast and a much smaller straight_mast and I was curious to see the distribution. I’ve kinda just been updating these as I go along. Once it gets to the point where I’m rarely running into lamp_mount tags I’ll run an Overpass query to find the stragglers and I knock them out but I have a feeling it’s going to be awhile; I’ve added over 15,000 of them.
In an area of about 600m long and 400m wide, hairpin geoglyphs mark the landscape with manmade tracings. Multiple lines possibly added up over 10,000m of lines characterize this landscape. The lines move from NE to SW and all appears to have curves. Erosion has erased some of the hairpins and possibly details. To the north of the site, is a large 110m x 100m viewing / gathering area atop a hill and surround by a natural protection on the southern western side. The entire site except for the viewing areas appear rather flat with a gentle slope.
14°35′20″S, 75°18′12″W -14.5889989, -75.3034115 Santa Cruz, Province of Palpa, Ica, Peru
A suggestion geoglyph of an elongated head 25m wide by 50m long, oriented north to south on a change of elevation of 10m shows an abstract elongated head with two eyes, two nostrils and mouth.
The head may or may not be adjacent to a very unrecognizable geoglyph located on its lower right side. This figure also has suggestions of a second elongated head but difficult to make out. There are some geoglyph lines suggested indicated as framing the elongated in that area. .
14°53′20″S, 74°53′49″W -14.8889740, -74.8969612 Vista Alegre, Province of Nasca, Ica, Peru
correcting open street map is hard: someone put my units inside 1 Arrilla ave; but we a in 76-84 Karne street north how do you select multiple buildings still trying to work it out.
ضباء طريق الملك عبدالله
Outdoor seating has become more important than ever in times of pandemic - but I noticed recently that places that people can sit and drink a coffee or read a book on a bench or at a table are not mapped in my neighborhood in Seattle. Lots of restaurants have co-opted sidewalks and even parking spaces (this would have been very controversial a year ago!) for use by their customers, but I’m more interested in street seating that can be used by anyone.
Everything I’ve mapped so far falls under the category of “Parklet” - it’s a permitted structure usually built by, but not exclusively for, nearby businesses. There are some charming ones around town, see pics here and here!
I noticed today there is a tag leisure=parklet, used infrequently and almost exclusively in San Francisco. Instead I’ve been using leisure=outdoor_seating in combination with access=yes, as this seems to capture identical information, albeit without reference to the parklet movement. So far I’ve only found one of the places digitized as something else - the parklet outside Cortona Cafe is tagged leisure=park. This is misleading, it’s a seating area between the sidewalk and the asphalt. Here it is on the website of a local political candidate
So far I’ve been capturing these as points, mostly out of laziness, but I should go back and digitize the tiny polygons, or if there is a polygon, remove tags like leisure=park. I’m undecided as to whether I should tag them as both leisure=parklet AND leisure=outdoor_seating at that point?
I’m also not naming these parklets, as most are referred to either with the name of the sponsoring cafe, or the nearby intersection, and I don’t know that need this info, except maybe for Nominatum?
Please feel free to weigh in on this endeavor :-).
Ein kleiner Gruß für meine Kollegen bei der Firma TadoTec.. :)
This post is a followup to yesterday’s maps of OSMF 2021 Survey results. We looked at demographics of survey respondents and their feedback to the board on 2020 actions like establishing new committees and fundraising.
I’ll start with a recap of survey respondents vs. the general editing population of OSM. Jennings Anderson also posted yesterday with a view of worldwide mapping behavior and a simple methodology for determining who’s a local mapper for each survey region. This first map shows the number of survey respondents per 1k local OSM mappers, ranging from fewer than 10 in Indonesia and the Middle East to 35+ in Belarus:
The geographic survey responses are aggregated to preserve anonymity, in some cases grouping dozens of countries under a single region. The maps on this page show simple survey results using the Board’s country-to-region mapping to make the responses easier to interpret. To re-create the map above, and all other maps in this post, source tabular data, region GeoJSON, and a QGIS file are available in a Github gist.
All maps here should be considered “No Rights Reserved,” CC0, or public domain.
Survey respondents were asked to prioritize the OSMF’s activities in the next year by ranking seven possible tasks in order:
The rank order makes this difficult to summarize on a map. Fortunately, the OSMF already elects its board members using a ranked-choice voting system called Scottish Single-Transferable Vote, so I’ve applied that method to the survey responses. I’ve scored priorities for each separate region with one, two, and three possible winning choices to determine overall community sentiment about each of the seven possible choices.
There is clear, strong alignment on core infrastructure stability as the top global priority. Almost all regions chose this as their first priority, and the ones that did not chose it as their second. Stability is a clear winner.
Takeover Protection and Outreach emerge as the next two priorities, approximately neck-and-neck. Protection from hostile takeover of the OSMF is important to European respondents, while outreach to local chapters and communities has a strong showing elsewhere.
Fund-raising rounds out the top half of the priority list for the board. Working group recruitment and attribution guidelines appear in just one region apiece, and Brexit did not appear important to respondents at all. I interpret this to mean that Brexit-related changes for the UK-based Foundation are an administrative or procedural task that the Board is expected to handle through delegation.
Survey respondents were asked for their opinion on two hot-button technical issues, AI/ML techniques for expanding the map (sometimes known as “robot mapping”) and a long asked-for vector tiles service to complement the existing OSM.org raster tiles.
Regarding AI/ML, the survey asked for a single response to this question:
Some OSM community members favor use of artificial intelligence and machine learning tools to assist mapping. Others oppose use of these tools. The Board of Directors of the OpenStreetMap Foundation has taken no position on the matter since such a decision would likely violate the core principle that the Board does not tell anyone how to map or what to map. Should the Board…
Community responses settled on two leading approaches: continuing to take no position, or formal approval of artificial intelligence/machine learning tools conditionally if local communities agree.
Regarding vector tiles, the survey asked for a single response to this question:
Some OSM community members think the Board should fund change of the map displayed on openstreetmap.org from raster tiles to vector tiles. Bearing in mind the potential cost of such an undertaking, and the possible impact on the OSM ecosystem, in your opinion the Board should…
Community responses settled on three leading approaches: encouraging volunteers, paying developers to demonstrate full breadth, or not offering an opinion at all.
This post and its predecessor summarized OSMF 2021 Survey responses providing feedback to on past actions and future priorities. If you’d like to dig deeper into the underlying mapping population to put the regional survey results into context, please visit Jennings Anderson’s earlier post with code and data
Source data and files for all the maps above are available in a Github gist, including a GeoJSON file with survey response regions you can use to map official results.
