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Trabalho de Geografia

Posted by palloma bittencourt on 13 April 2015 in Brazilian Portuguese (Português do Brasil)

Meu nome é Palloma Bittencourt, sou aluna do 3°M03 na escola Jacaraípe. Estou desenvolvendo um trabalho na plataforma do #OSM.

Tarefa da semana: (12/03/2015) Marcar a residência.

Tarefa da semana: (23/03/2015) Marcar 5 locais, Marcar os pontos de ônibus, Criar um ciclo de amigos, Desenvolver o perfil, Criar um podcast descrevendo a rua.

Tarefa da semana: (30/03/2015) Marcar: Ruas sem calçamento, pontos de alagamentos, parte com problema das ruas ; Marcar: Vegetações e corpos d’água. Visitar o site: www.veracidade.com

Tarefa da semana: (13/04/15) Marcar locais históricos.

Nome do grupo: Amanda Carolyna/ Bruna Malta/ Idamara Fontoura/ Heloísa/ Palloma Bittencourt/ Tatiane Maria.

Primeiro Post

Posted by oesleiribas on 13 April 2015 in Brazilian Portuguese (Português do Brasil)

Eu vou usar este espaço para distribuir informações sobre o OSM, mkgmap e assuntos relacionados.

Location: Boneca do Iguaçu, São José dos Pinhais, Microrregião de Curitiba, Mesorregião Metropolitana de Curitiba, Paraná, Região Sul, Brasil

Trying Overpass API

Posted by SimpleLuke on 13 April 2015 in English (English)

I am a college student majoring in cartography and has contributed to OSM for almost a year. And I also exported and used the data in a community extent to make maps for my hometown, campus etc. For large scale data exports, I used to use the free download service provided by GeoFabrik. For example, I tried to make a railway map of China with ArcGIS so I downloaded Chinese section of the database. However it was a waste of resource for the server and waste of time for me when I downloaded data I didn't need like waterways, buildings.

Recently my teacher asked me to get urban road networks of dozens of cities distributed around the world and I happened to find overpass-turbo. The query wizard is incredibly awesome that I can query with natural language. Really easy to use! However the GUI told me the data may be too large for my explorer to handle. This frustrated me a lot. Yet, I then found the export raw data from Overpass API without visualizing them and finally got what I need. This really saved time and resource to download all the irrelevant features, what's more, I don't have to use the OSM API via JOSM to manually download the corresponding administrative boundaries and clip the national or regional data. The API server responded really fast than I expected, after all it's a great deal of computation to export what I want. Sincere thanks to the overpass API as well as turbo!

As a newbie to overpass, there's also some questions.

  • Would it be too costly for the server to export an extent of a whole city?
  • Is there any way for me to achieve the same goal with other better methods or less public resource consumption?
Location: 东湖新技术开发区, 关东街道, Hongshan District, Wuhan City, Hubei, People's Republic of China

Anishinaabemowin (Ojibway) place names in OSM

Posted by scruss on 13 April 2015 in English (English)

I read about the Ogimaa Mikana project in The Globe and Mail last week (“How my neighbourhood looks and sounds in Ojibway”). Given that we have the name:* tagging scheme, OSM already supports indigenous language naming.

ISO 639-[1,2,3] has many ways of tagging in Ojibway. The two letter code is oj. The three letter codes are more complex; the macro language is oji with seven individual languages related to it.

I don't know if I did this even remotely correctly, but — welcome to Gichi Kiiwenging!

Location: Financial District, Toronto, Ontario, M5B2H1, Canada

La Communauté de Communes des Hauts de Flandre entièrement intégrée au BANO

Posted by Pichasso on 13 April 2015 in French (Français)

Cinq mois après la Communauté urbaine de Dunkerque, c'est au tour de toutes les communes de la CCHF de disposer de leurs noms de rues et de leurs adresses. Aux erreurs près des cadastres ou du fantoir, la BANO est donc complétée pour la Communauté de communes.

Location: Rue de la Couronne de Bierne, Bergues, Dunkerque, Nord, Nord-Pas-de-Calais, France métropolitaine, 59380, France

問題所在

Posted by Gavin Ying on 13 April 2015 in Chinese (Taiwan) (‪中文(台灣)‬)
  1. 如何單純顯示出我自己所上傳的軌跡
  2. 如何分給指定的人

Marcações

Posted by Sara William on 13 April 2015 in Brazilian Portuguese (Português do Brasil)

Olá,Meu nome é Sara William,minhas marcações tem o objetivo de mapear jacaraípe.Estou cursando o ensino médio, na escola jacaraípe.Estou fazendo um trabalho de Hidrografia, que envolve o OpenStreetMap. Marquei no OpenStreetMap: Padaria, Agências Correios, Escolas, Lojas,Clínicas.. E marquei o Rio Jacaraípe e etc...

Nome do grupo: Sara William,Ronieri Rodrigues, Jean Carlos, Naiane Santos, Gleici Kelly e Samuel Conca.

Location: Parque Jacaraípe, Região de Jacaraípe e Manguinhos, Serra, Microrregião Vitória, RMGV, Mesorregião Central Espírito-Santense, Espírito Santo, Região Sudeste, Brasil

3D Modelle von Gebäuden erstellen

Posted by marauder156 on 12 April 2015 in German (Deutsch)

Der Gasometer in Oberhausen

Wie kam es dazu

Seit ich die aus OSM-Daten erschaffene 3D-Welt von F4map entdeckt habe, lässt mich das Mappen in die dritte Dimension nicht mehr los. Nach anfänglichem experimentieren mit Höhen, Dachformen und Farben von Gebäuden, steht nun das Wahrzeichen meiner Heimatstadt Oberhausen auf der Agenda: Der Gasometer.

Die Vorbereitung - Was braucht man

  1. Die Tag-Bibliothek Simple 3D Beispielbild Wer sich mit der Modellierung von Gebäuden beschäftigen will, muss sich mit den Tagging-Methoden der Simple 3D Buildings beschäftigen. Hier findet man das Handwerkszeug, mit dem aus grauen Klötzen farbige Skulpturen entstehen.

  2. Der 3D-Plugin für JOSM Kendzi3D Screenshot Weil wir auch während des editierens sehen wollen, was unsere Änderungen bewirken, brauchen wir eine Art Vorschau. Dieses Fenster in die 3D-Welt ist der Kendzi 3D Plugin für JOSM.

  3. Informationen über das Gebäude Seitenansicht Die Arbeit beginnt erstmal trocken mit dem Sammeln von Zahlen und Bildern um das Modell möglichst exakt wiederzugeben. In diesem Falle stellt sich das als gar nicht so einfach heraus. Zwar liest man überall etwas über Gesamthöhe, Durchmesser und Geschichte des Bauwerks, einen Plan mit Maßen für die sieben Rundgänge sucht man jedoch vergebens. So werden deren Höhen mittels Tabellenkalkulation geschätzt. Immerhin findet sich ein verpixeltes Bild mit den meisten anderen Höhenangaben.

Aber nun zum interessanten Teil des Projektes, dem Modell

Die Überlegung ist, den Gasometer scheibchenweise aufzubauen um die Rundgänge mit einarbeiten zu können. Beim Treppenturm und seinen Befestigungsstreben wird das gleiche Verfahren angewand.

Die einzelnen Schichten werden durch ihre Lage auf der Karte, die Anfangs- und die Endhöhe definiert. Durch die Angabe von weiteren Eigenschaften, wie Material und Farbe wird das Erscheinungsbild angepasst. Alle Einzelteile werden mit dem Tag building:part=yes versehen.

Schichten1 Eigenschaften Hülle

Die in hexadezimal angegebenen Farbwerte kann man sich übrigens sehr gut beim Onlinedienst color-hex.com zusammenstellen.

Um das Dach zu formen nutzt man den Tag roof:shape. Hier haben wir ein kuppelartiges Dach, also wählen wir die Eigenschaft dome aus. Ansicht Dach Eigenschaften Dach

Da der Gasometer und sein Treppenturm aus vielen direkt übereinander liegenden und miteinander verbundenen Schichten besteht, werden alle Teile des Gebäudes in einer Relation vom Typ building aufgenommen. Dies erleichtert auch das Anwählen aller Ebenen. Bis auf die Außenlinie, die das Gebäude einmal komplett umschließen muss (outline), bekommen alle Teile die Rolle part. Der Außenlinie habe ich auch alle weiteren Eigenschaften (wheelchair, tourism, phone, etc.) zugewiesen. Desweiteren ist sie der einzige Teil des Gebäudes mit building=yes. Dies definiert die Darstellung in der 2D-Karte. Relation Gesamt

Hat man das Gebäude nun fertig, kann alles wie gehabt hochgeladen werden und das Warten beginnt. F4map aktualisiert seine Daten gefühlt alle ca. 6-12h.

Der fertige Gasometer in F4map

Location: Neue Mitte, Oberhausen, Regierungsbezirk Düsseldorf, Nordrhein-Westfalen, Deutschland

Trabalho de Geografia

Posted by Marina Silva on 12 April 2015 in Brazilian Portuguese (Português do Brasil)

Marquei escolas, igrejas, ruas, ruas com problemas de infraestrutura, comércios e a Igreja Reis Magos em Nova Almeida. Grupo: Michele, Marina, Tássia, Lucas, Dara

Trabajo de la Clase 2 "Enseñar Ciencias Sociales con TIC"

Posted by vilmag on 12 April 2015 in Spanish (Español)

Explorar el entorno. Etiquetar escuelas y corregir datos.

trabalho de geografia

Posted by Michele Paranaguá on 12 April 2015 in Brazilian Portuguese (Português do Brasil)

estou fazendo um trabalho sobre hidrologia. marquei:igreja São Pedro, pontos de ônibus, escolas etc. grupo: Michele, Dara, Lucas, Carol, Thássia, Marina, Sâmia.

Trabalhinho de Geografia..

Posted by Giullia Gatti on 12 April 2015 in Brazilian Portuguese (Português do Brasil)

Estou cursando o ensino médio, na escola jacaraípe.. Estou fazendo um trabalho de Hidrologia, que envolve o OpenStreetMap. Marquei no OpenStreetMap: Padaria, Papelaria, Supermercado, Salão e Lanchonete.. E marquei uma lagoa (Local Histórico).

Nomes do grupo: Giullia Gatti, Brenda Sarantides, Aline Salina, Karen Lícia, Pâmela Hérika e Eliziellen Chaves.

Weitere Tests mit OSMAND (Android) Fahrspurassistenz

Posted by artus70 on 12 April 2015 in German (Deutsch)

Nachdem ich erste positive Erfahrungen mit den turn:lanes von OSMAND gemacht habe, hier nun ein paar weitere Erlebnisse.

Bei der Durchfahrt über das BAB-Kreuz OL-Ost auf der A28 leitete mich OSMAND unverständlicherweise über die eigentlich nur zum Aus- und Einfädeln gedachte Nebenspur, vermutlich um in der "Innenkurve" schätzungsweise einen Meter Strecke einzusparen:

BAB OL-Ost Können solche Routingfehler durch entsprechende Ergänzungen beim Taggen der Spuren vermieden werden?

Folgerichtig sollte ich dann jedenfalls auf dieser Spur bleiben und nicht abbiegen, denn ich wollte ja eigentlich bloß geradeaus fahren: BAB OL-Ost

Den gleichen Effekt hatte ich auch in Bremen, wo ich ebenfalls die drei Hauptspuren verlassen sollte: BAB HB-Hemelingen Unter dieser an sich unsinnigen Voraussetzung wurde mir aber die Fahrspurhilfe korrekt angezeigt.

Auf dem Rückweg über das Kreuz OL-Ost arbeitete das Routing samt Fahrspurassistenz dann korrekt, da es aufgrund der langgezogenen Linkskurve der Strecke ja keine rechte "Innenkurve" gab: BAB OL-Ost

Einen anderen unschönen Effekt hatte ich in Lübeck, wo mir der Hinweis zum Rechts-Abbiegen schon so früh angezeigt wurde, dass ich aufpassen musste, diesem nicht bereits eine Kreuzung vorher zu folgen: Spurassistent in HL

Die vorausschauende Anzeige der Abbiegepfeile ist grundsätzlich löblich, aber wenn sie zum falschen Zeitpunkt kommt, ist das wohl mehr Verwirrung als Hilfestellung. In der aktuellen Situation bezweifle ich, dass man spontan nachrechnet, dass mit der im Richtungshinweis eingeblendeten Entfernungsangabe (180m) ja erst die zweite Kreuzung gemeint sein kann. Auf den ersten Blick widerspricht der Abbiegehinweis vermeintlich der violett markierten Route ...

Location: Hemmelsberger Moor, Hude (Oldenburg), Landkreis Oldenburg, Niedersachsen, 27798, Deutschland

Trabalho de Geografia :)

Posted by Naiane dos Santos on 12 April 2015 in Brazilian Portuguese (Português do Brasil)

Meu nome é Naiane dos Santos sou aluna do 3°M03 na escola Jacaraípe. Estou desenvolvendo um trabalho na plataforma do #OSM.

Tarefa da semana: 12/03/15 Marcar a residência.

Tarefa da semana: 23/03/15 Marcar 5 locais; Criar um ciclo de amigos; Desenvolver o perfil; Criar um podcast, descrevendo a rua.

Tarefa da semana: 30/03/15 Marcar: Ruas sem calçamento, pontos de alagamentos, pontos com problemas (5 problemas); Marcar: Vegetações e corpos d’água. Visitar o site: www.veracidade.com

Tarefa da semana: 13/04/15 Marcar locais históricos.

Nome do grupo: Gleice Kelly, Jean Carlos, Naiane dos Santos, Ronieri Cícero, Samuel e Thainá Laranjeiras

(Actually) fixing the Peoria GIS import

Posted by bdiscoe on 11 April 2015 in English (English)

It turns out that Peoria is not just a metaphor, but a real place in Illinois. It is also the location of a rather messy GIS import of County data! Here's the history as far as I can determine:

  • The Peoria County Government gathered data resulting in a dataset as of 1997.
  • In 2010, that dataset was considered old enough to be considered "obsolete" which apparently justified uploading it to OSM.
  • A wiki page Peoriagisuploa describes most of the details of what happened in June 2010. Basically, it's woods and buildings.
  • Woods came in with natural=wood (but too many nodes)
  • Buildings came in with building=yes and BUILDING_T=(0..9) for a building type, as documented on the wiki page.
  • In July 2010, user account "xybot" applied some changes called "Correction of faulty peoria bulk upload" which did a very strange thing to the building tags. It changed "BUILDING_T" to "tiger:buildingType" (!) There is no such tag in TIGER (which has no buildings, let alone building types).

I studied this mess and figured out what should have occurred: mapping Peoria's BUILDING_T onto the actual, standard OSM building types:

  • BUILDING_T=1 -> building=residential
  • BUILDING_T=2 -> building=commercial (very few of these are industrial)
  • BUILDING_T=3 -> building=school
  • BUILDING_T=4 -> building=garage
  • BUILDING_T=5 -> building=static_caravan
  • BUILDING_T=6 -> building=industrial (there are almost none of these)
  • BUILDING_T=7 -> building=yes (it was under construction in 1997, it isn't now)
  • BUILDING_T=8 -> (make these the inner ways of multipolygon relations)
  • BUILDING_T=9 -> man_made=pier

I have been laboriously applying these fixes recently, and will finish soon. I'm doing it manually in JOSM, checking carefully, not only because that's the quality thing to do, but also to head off any claims of "mechanical editing". I'm also cleaning up the woods, which is not simply a matter of decimation but also a lot of manual updating because the woods are not where they were in 1997.

It's time to import TIGER address ranges into OSM

Posted by Omnific on 11 April 2015 in English (English)

Simon Poole's recent user diary pointed out a disturbing fact: only 5.2 million US addresses exist in OSM. According to research, there are at least 113 million residential and 5.6 million commercial buildings in the US that need addressing. Given that only about 4% of the US has been addressed in 10 years, it should take us (based on a purely linear model) 250 years to address the remainder of the currently extant buildings. Even if the curve is closer to expontial, it will still take decades.

Furthermore, unlike in many European counties, the US isn't particularly pedestrian friendly. Hand surveying massive rural sections of the US is unrealistic. What's more, these counties are going to be the last (least progressive) about opening up addressing data for use in OSM.

Right now, probably 99% of US addresses are from large scale imports. DC, Atlanta, NYC, San Diego, Seattle, Chicago. Progressive metropolitan areas are nearly exclusive in terms of opening up addressing data for OSM. Sure, a few counties in Minnesota beg to differ, but they are the exception, not the rule.

The fact is that the usability of the map in the US is seriously detracted without addressing data. Furthermore, our community is too small to support surveys of this scale. Our per capita number of OSM users who contribute locally is orders of magnitude below that of European countries, especially Germany.

But we have the data. Sure, the address ranges included in TIGER aren't perfect, but they are in line with the CANVEC address ranges used in Canada. From my low level comparison with Google data in a rural town, addresses were off by 10-20 feet max. More rural areas increased the uncertainty level, but it is significantly better than literally nothing. Nor are they particularly difficult to export, as the tags are simple to interpret. If we get better data, deletion is a breeze with a simple search and select deletion method in JOSM.

Many of the old guard of OSM protest this, saying they aren't good enough. The fact is that perfect is the enemy of good. We need something, but right now 96% of the US doesn't have addressing. Steve Coast understands the OSM can't break the barrier into being anywhere as close as good as Google/Bing/etc without addresses. We need TIGER address ranges in OSM as soon as possible.

some links and offical standard emergancy mapping symbols guide.

Posted by Govanus on 11 April 2015 in English (English)

the symbols are at:- https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/168057/Civil_Protection_Common_Map_Symbology_V1-0_March_2012.pdf

=====

other personal links https://www.gov.uk/government/collections/rural-land-register https://www.gov.uk/land-registry-international-services https://www.gov.uk/government/case-studies/making-history-in-bermuda https://www.gov.uk/government/case-studies/modernising-alderneys-systems https://www.gov.uk/government/publications/public-data-group-open-data-statement-2014 https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/230605/road-length-notes-definitions.pdf https://www.gov.uk/government/publications/salisbury-plain-imber-range-perimeter-path https://developer.mozilla.org/en-US/ https://webmaker.org/en-US?utm_source=directory-tiles&utm_medium=firefox-browser https://uk.search.yahoo.com/search?p=sunsite&ei=UTF-8&fr=moz35 https://www.gov.uk/search?o=ordanance+survey&q=ordnance+survey https://www.gov.uk/government/publications/natural-england-licence-agreement-ordnance-survey-mapping-data https://www.gov.uk/government/publications/noise-contours-on-os-maps https://www.gov.uk/government/case-studies/open-data-free-map-of-great-britain-for-minecraft-game https://www.gov.uk/manorial-plans-and-title-analysis https://www.gov.uk/government/news/britain-leads-the-way-as-ordnance-survey-helps-to-drive-economic-growth-and-digital-innovation-through-open-data https://www.gov.uk/licence-to-publish-lps-osni-intellectual-property-northern-ireland https://www.gov.uk/illustrative-plans https://www.gov.uk/get-a-permit-to-deal-with-a-coal-mine-on-your-property https://www.gov.uk/annual-intellectual-property-supply-and-licence-northern-ireland https://www.gov.uk/raib-reports/penetration-and-obstruction-of-a-tunnel-between-old-street-and-essex-road-stations-london https://www.gov.uk/osni-lps-intellectual-property-licence-acadamic-northern-ireland https://www.gov.uk/government/news/3-million-mapping-project-to-transform-road-improvements-and-maintenance https://www.gov.uk/inspire-index-polygons-spatial-data https://www.gov.uk/low-flying-in-your-area https://www.gov.uk/government/publications/epynt-way-maps https://www.gov.uk/government/collections/hs2-plan-and-profile-maps-between-london-and-the-west-midlands https://www.gov.uk/government/publications/emergency-responder-interoperability-common-map-symbols https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/168057/Civil_Protection_Common_Map_Symbology_V1-0_March_2012.pdf

Bike Shop

Posted by dejief on 11 April 2015 in English (English)

Hello,

Please add bike Shop point on the map (just drag on)

Many fietser use the open street map and there is no many bike shop on it

Thanks :-)

JF

Addresses Revisited

Posted by SimonPoole on 11 April 2015 in English (English)

Two years ago I produced some statistics on addresses in OSM. While I did regularly re-run the scripts, I never really revisted the topic to see how things are developing,

Global Address Counts as of 2015-04-09

                2013-03-27     2015-04-09    Increase since March 2013
Total           20'168'470     51'903'310            257%
Germany          3'659'043      8'470'716            232%
USA              2'090'893      5'229'243            250%

The complete set of numbers can be found here, According to official statistics there are 18.5 million residential buildings in Germany so I would expect that we are roughly 1/3 to 1/2 of the way to complete coverage there.

The large global increase in early 2014 is mainly due to the import of 8.7 million addresses in the Netherlands which due to peculiarities in building and numbering in NL led to a far larger increase in the counts than you would normally expect of a country with a similar population size.

When I first produced the address stats the openaddresses.io project didn't exist and it it is now interesting to compare the two projects. It should be noted at this point that openaddresses.io does not make any representations wrt licences of their individual datasets and there is no guarantee that all or any of the data could actually be used in OSM.

OA currently claims to contain 115 million address, slightly more than twice the 52 million in OSM. However how large is the overlap? A very rough (and unfair) estimate based on the numbers for the US, ES, NL, PL, DK, NO and JP in OSM, would indicate that 24 million address likely turn up in both projects, but, more interesting that OSM contains 28 million addresses not in OA. Or put differently a combined dataset would contain 143 million addresses (see caveat above).

BBC story on boring photos

Posted by ndm on 11 April 2015 in English (English)

Interesting (?) story: "Picture imperfect: Are these Britain's dullest photos?" http://www.bbc.co.uk/news/uk-england-32128087 -- they look positively scintilating compared with some of my snaps from mapping :-)

Does anyone know whether http://www.geograph.org.uk/ images can be used for OSM?

Cheers, Neil

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