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United Maps
United Maps United Maps: Maps on a human scale. • Professional Maps for the Geoweb. • United Maps GmbH 2009 1 Maps leave the car. in-dash OEM in-car AM PDA PND United Maps smartphones mobile phones • Cell phones know where we are. Maps become personal. Maps made for cars don‘t make too much sense for mobile humans. original picture: http://flickr.com/photos/greenspartan/2548517094/ - by greenspartan Vehicle Maps don‘t make too much sense on personal mobile devices United Maps Conventional maps focus on vehicle traffic and streets: » no detail on pedestrian level » no multimodal navigation » random house footprints » few relevant POIs Mobile devices have different usecases. Users expect better maps. United Maps fills gaps in maps. United Maps » large scale = deep zoom » public transport » seamless multimodal navigation » pathes, walkways and trails » precise house footprints » exact addresses » comprehensive content Better maps = better apps. Better Maps = Better Apps Yahoo! Maps Maps make the difference. United Maps UM-DE (pre-release 04.09) United Maps Better Maps. » cities: up to 50% density » rural: up to 300% more streets, pathways and trails » attributes conserved » fully navigable » professional topology • White lines are basedata sets - red lines is United Maps better maps with dramatically enhanced streets and pedestrian features. Mobile multimodal navigation on a human scale indoor hyperlocal local streets municipial regional national continental United Maps » algorithmic merging and matching of vector data sets » licenced data from Navteq or Tele Atlas (no mashup) » addition and completion of missing features and layers » perpetual, dynamic updates » unique content Conventional field research and processing is expensive Conventional field research requires reasonable perpetual effort and resources. In 2007, Navteq alone spent $336m for map updates. 2006: 275$m 2005: 236$m 2004: 197$m Turner, A. and Forrest, B., (2008) Where 2.0 - The state of the Geospatial Web. page 6. http://cachefly.oreilly.com/radar/research/ Where2.0_excerpt.pdf United Maps S P e ra ß St me r-R ing straß e im S W e ra ß rst Li e b rü e lc ck en s Ba ad e ra eib he ra ß st ze Bu tte rm ße Zw rs t ra ß e Ko h S ls t ra ß tra ße ra s sis t U nt e aße he r P e rtors traß e ße Mo o h Er Co ß ra tst ard e rn ße Museumsinsel ec kb rü ße üc tts sta e ße e S tra ß Frühlingsanlagen tra s er raß ei g ls t hw Sc ße üh e Edu ard-Schmid- Str aß e e ns ke tra e rm Au enstraß ck e tra ns eli pp r r br Isa Isa Ze ad e e us el i I ck ße raß ts t ard rn Co E rh Klen zest ra Ze nn r st l Ba Ha ns -Sa u um se se si n Lili ch s -S tra ße a s tr er e of S M ra ß nh Reichen bachs traße ke u Fra e Kl e aß tr es z n rü c e ße e aß J ah aß tr ns b ch ra st us s Bo e li str Ja h nst raß e tra ch str Th ie rs tra ße tl- en Kl A n ge ße a ls Kan e ße rs - e ß tra i ns nt a str la le ül ße tra as e rs f Ru m raß r dst Gärtnerplatz um ße Pf lug e Rei chenbachstraß e e Av rer A nge r rk t str aß ek Th um s en ße tra st We stra P m tz er las s ma ne id e l oß Ko H olz Isartorplatz S Frauen stra ß e o Th p la Ei n ße Ros s Ut zs ch Am lstra Wa l S M lle r s tra Tal r rt o Isa e P Bl Mü n ta l is -Z at l ä Pr Obera n g e r K Radls te g z st r a ße Kreu e ß tra ds St.-Jakobs-Platz S K Westenrie d ers traße i hm nd ße tra R o se Sc Se rS ge lin O r ge an be r United Maps r aß t st St. Johann Nepomuk K K D ul K K P Am Co e aß 17,18,N 17 Reichenbachplatz Ru mf or d st r a ße ße P ß ra e e Av in nt s liu ra st e ra ß rst ad e ße ra Ba e rn ße st e aß Co tra la s M l er ül ße str ek Th Rei chenbach st raß e um Bl st en M ül le r st r e aß ra st en Kl st ze ß ra Herz-Jesu-Kloster Bu t t er me lc e he rs t ra ße Ko h lst ra ß S e e rp la t z Gärtnerplatz Ba a s tr iu s el un Rei chenbach st raß e e aß e Kl ße rn ße t ra es z n Co tra a Fr Ja s hn ISRAELITISCHE KULTUSGEM. 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MÜNCH. 37 38 21 Ba ad 35 20 us e li t ra es 23 rn z en Kl ße 40 Co 34 38 19 18 Reichenbachst raß e 32 45 15 16 30 40 z at 28 30 36 2 34 22 36 33 27 27 United Maps 10 K ße r stra Pre ys Ke traß s lle r s tr aß e h of s Ga g er raß e ße M Se da P ße st ra et z Weißenburger Weißenbu rger S traß e Platz ße ge ei m er S tra ße rS t ra ße ße Ro se nh er St ra ße stra s ka n er n zi ch s t ra Rablstraß e F ra e tra ß en s Lili Ste in ra ß e Pr ü lle rSt Ho e aß Rosenheimer Platz rin str P ße n st r a Ze pp el in P B ala ra ße er p l a Pl tra ße th h Sc st lan n z- Fra S ge r Pa u er e ns tr a ße Lo Edu ard -Sc hmid-St ra ß e ei ße P he im rs z ar Frühlingsanlagen w ra Ro se n l le e ß ra st us i n M tra ße zs t ng e rs Sc hw ar eib i ck e Sch l rü str aß Lili ec kb Ke st ra ße S m Co at Is Ze nn i lc P tz Museumsinsel ör th ße tra hs e e ck en s t rü Ho c h st e ra ße pp el i ns tra ß P tr a b ch Ze ie Lil S er im Am nb he s Bo e um sin l se an n is e te ig Am H olz Isa e ra ß ra s sis t Mo 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S e traß o bs en l e tra ße e Fra u ß tra ss ß tra rs at ts fe st ho Mai stra ße li u Goethestraße e rn e Kl un Ick a Fr Goetheplatz las s E in ße e aß Südlicher Friedhof ße ra str c ke lstr aß e st um Win Co ße stra ler ül ße Re is ing ers t ra ller Am e lo Ko raße um ße ße ße isst Bl tra ns tra g e ns t raß e Mü is las a st r ße g se S st raße ße ntal S ek Th ße n rstra er str a S hmu nd stra ß e Ro t Rin Walth e en Z tla rä P M Au g sb ur g R ose ße K Flie r ge St.-Jakobs-Platz tra s m m ur dw ße tra B lu Zie m u ids e e traß ß tra K dw ße ra ran Ob e Obera ng e r gs L in e aß s tr m r St Sendlinger-Tor-Platz e S r de R in P mstraße Lin K P r kt ma hm Sc K K e nd Se r ge lin s Wa ll in ss Le Nu ss b au tra ß ns tra ße z str Schillerst raße Kreu e f ers ke St. Johann Nepomuk ß -S tra Goeth estraße lhe lm nko Ha c e ra ß e K Beethovenplatz ns tr a ß e lt st ß stra Pette m s traß N u ss b au B r un Du n en g -W i H e rz o So n K ße P n be ra Jo sep hsp it a lstr aß e Landwehrstraße raße Mathil denst K Petten ko fers tra Dam K S United Maps P S g er rb Fä K P Landwehrstraße raße Schwanthalerstraße tl- P S ß tra es z n e e str e aß ße o Kl s te u pt Ha Meisterschule für Mode Generalkonsulat der Republik Südafrika ra ß Ma i st undstraß e hm e Ro t Evangelisch reformierte Gemeinde Re is in ge r s tra ß e e Private Wirtschaftsschule S Th alkir ch ner S ße tra r g er s traß U nt e re r A Mü S te p h a ns p latz ens wu tra ße mß d L in ms ße tra B lu mens traß e lle r stra erto rs t r a ße Zie A ug s bur Münchner Feuerwehrmuseum ße A ng ge ns traß e raß e Fli e Ho l zs t a ße st r SANKT WILLIBRORD Pes tal ozzis tra rm B lumenstraße U1 ,U2 7 N2 17, ,N , 27 18 17, Lin u dw Müllerstraß e K S ng e r Ros s che ma r kt rwa fe ue Sendlinger-Tor-Platz 6 ,U U3 ße De r ße ße ra An stra ße lstra Wa l d Lin l er e St ra lm- la tz MATTHÄUS-KIRCHE rm wu pie uz gls s t r aß Sin lhe Obe range r Sendlinger Tor 16 ß tra ds -Wi rh of st -P -Tor ge r ra ße ße tra i hm z og dlin mst N u ssb au g lin nd e S Asamkirche (St. Johann Nepomuk) S er K S en K Honorarkonsul der Republik der Philippinen K Konsulat des Königreichs Dänemark Honorarkonsul der Republik Östlich des Uruguay a ße e Her K ße Pettenk ofers tr Kr Sc a s tr 27 ne n 17,N So n 27,N raß e Math ilden st Generalkonsulat der Föderativen Republik Brasilien United Maps , 7,18 16,1 ASAMKIRCHE St. Johann Nepomuk K 43 16 47 44 Oberanger latz 6 8 41 45 P Torger- 1 7 Honorarkonsul der Republik der Philippinen ße 49 dlin 3 10 K 8 7 n Se t ra 10 K 5 11 Se n e en st ra ß M athild 2 5 12 i dl S er ng ße 9 7 K Konsulat des Königreichs Dänemark t ra m-S he l Petten ko ferstraß e il -W 4 33 32 2 United Maps 6 z og Her 4 8 4 Sendlinger-Tor-Platz s traß N us s ba um O be e g ra n er 43 14 45 Sendlinger Tor 47 16 14 10 1 An D 6 2 8 14 rstra ß 14 e 12 10 18 12 14 e ra ß 3 1 zz is tr a ße 53 a lo 51 3 5 6 kt 45 43 3 e 10 ra ß 23 sbu r ge 16 rs t lle 12 17 A ug 1 10 13 15 54 4 7 Mü 6 11 5 ra ße e 2 Pe st Flie g e ns t 4 Straße 9 56 3 chn er 7 ch ls t al Blumenstraße 2 1 5 T halkir s 5 ße tra wa rm 3 W 27 17,N 27,N u dw Lin K 5 6 8, 17,1 U 3, U1 , U2 er feu 1 U6 t au p er H Generalkonsulat der Republik Südafrika S 12 ma r dw Lin 15 ße tr a ms ur Ros s MATTHÄUS-KIRCHE 39 We use smart software instead of driving roads. United Maps Primary maps from Navteq or Tele Atlas are matched, merged and extended with supplemental data. The result are truely pedestrian maps for mobile usecases in an unseen map quality. Highly detailed, hyperlocal maps. Crowd Mapping produces results United Maps OpenStreetMap quickly generates maps for populated areas. Great Idea! » professional quality? » routable? » comprehensive feature sets? » commercial products? » coverage? » precision? » reliability? » Hype? How we do it: Algorithmic Conflation UM licences vector data from market leaders and deploys a proprietary algorithm ... » to automatically match vector data sets, geometries and attributes » with a precision of 95% correct positive matches resulting in ... » a fully navigable topological network based on primary data Original primary data is left untouched. Nodes are expanded to attach new, previously missing pathways, conserving all attributes. United Maps What UM doesn‘t do: » layering > original topology is expanded, nodes and vertices are added » photogrammetry > pixel images aren‘t vectorized: we licence original and secondary vector data » field research > we don‘t do field checks primary data + cadastral data • United Maps ATKIS is a set of official german cadastre data that is conflated with the street network data from Navteq or Tele Atlas. Every country has cadastre data. Quality and/or availability varies. primary + cadastre = United Maps United Maps • Two vector data sets are conflated into a single, more precise and comprehensive dataset. All attributes are conserved, the street networks becomes denser and remains fully navigable. A wealth of additional metadata is added. Anyone can do that? United Maps The U.S. has a centralized, public domain dataset maintained by the US Census Bureau. TIGER (Topologically Integrated Geographic Encoding and Referencing), the equivalent of 57.000 topographical maps is “out of date, idiosyncratic and mostly incompatible“*. But at least there is something. *) „Getting there“. The science of driving directions. Nick Paumgarten. April 24, 2006; The New Yorker - http://tinyurl.com/czw3e9 Technology + Workflow United Maps The EU has neither centralized nor free data but thousands of authorities and agencies. European federalism, cultural and language barriers and completely heterogenous data makes mapping a bit trickier. We do maps since 30 years. Rollout United Maps » DE ready in 2Q09 » 200 major European cities » Trials for U.S. and Asia running Where United Maps comes from United Maps‘ staff produced european and worldwide maps for more than 30 years. Some of us made Carto Travel, formerly Germany‘s mapping market leader: cartography, GIS, editorial processing and licencing is our profession. » Feb 2008: founded » Sep 2008: (seed-)funded » Nov 2008: started operations United Maps • We closely work with a german university on academic projects and currently employ 15 experts at 2 locations in Munich and Eisenach, Germany. • The first product, a hyperlocal and fully navigable vector map of Germany will be released as UM-DE in April 2009. much more United Maps United Maps Contact United Maps GmbH Stefan Knecht – CIO Agnes-Pockels-Bogen 1 80992 München +49 89 4521 393 0 [email protected] http://blog.unitedmaps.net See Slideshare for more! Automatic Conflation Results Rural United Maps • A primary dataset is algorithmically conflated and hence merged with a secondary dataset. • For practical reasons and sequential processing, this is done by tiling an area into 5x5 km segments. • UM-DE consists of 15k technical tiles. primary dataset | secondary dataset | UM automated match Automatic Conflation Results Rural • primary dataset | secondary dataset | UM automated match United Maps Automatic Conflation Results Suburban United Maps • In rural areas, an up to 300% gain in additional roads and pedestrian pathes is achieved. • In sub-/urban areas, the enhancement varies up to 50% depending on the timeliness of primary and secondary data. • Red is the fully automatically matched vectors. • Blue is defined as the primary base vector set primary dataset | secondary dataset | UM automated match Automatic Conflation Results Suburban United Maps • After a completely automated first run, the majority of points and lines are positively matched: corresponding geometry is met. • Despite its 95% precision, the current release of the algorithm still produces artefacts that need to be processed in a second run. primary dataset | secondary dataset | UM automated match | positive 1st run | QA 2nd run Automatic Conflation Results Urban primary dataset | secondary dataset | UM automated match United Maps Automatic Conflation Results Urban United Maps primary dataset | secondary dataset | UM automated match | positive 1st run | QA 2nd run
