Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Map Generalisation: Fundamental to the Modelling and Understanding of Geographic Space Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

5. Integrating and Generalising Volunteered Geographic Information

verfasst von : Monika Sester, Jamal Jokar Arsanjani, Ralf Klammer, Dirk Burghardt, Jan-Henrik Haunert

Erschienen in: Abstracting Geographic Information in a Data Rich World

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The availability of spatial data on the web has greatly increased through the availability of user-generated community data and geosensor networks. The integration of such multi-source data is providing promising opportunities, as integrated information is richer than can be found in only one data source, but also poses new challenges due to the heterogeneity of the data, the differences in quality and in respect of tag-based semantic modelling. The chapter describes approaches for the integration of official and informal sources, and discusses the impact of integrating user-generated data on automated generalisation and visualisation.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Data Structures for Continuous Generalisation: tGAP and SSC
Nächstes Kapitel Generalisation Operators
Fußnoten
2
Note that the notion of aggregation is used here to describe the grouping of similar instances of the same feature class to a new, combined representative object.
 
8
See Footnote 7
 
Literatur
Alt H, Efrat A, Rote G, Wenk C (2003) Matching planar maps. In: Proceedings of the fourteenth annual ACM-SIAM symposium on discrete algorithms (SODA '03). Society for industrial and applied mathematics. Philadelphia, PA, USA, pp 589–598
Atkinson GM, Wald DJ (2007) “Did you feel it?” intensity data: a surprisingly good measure of earthquake ground motion. Seismol Res Lett 78(3):362–368CrossRef
Balley S, Parent C, Spaccapietra S (2004) Modelling geographic data with multiple representations. Int J Geogr Inf Sci 18(4):327–352CrossRef
Bereuter P, Weibel R and Burghardt D (2012) Content zooming and exploration for mobile maps. In: Proceedings 15th AGILE international conference on geographic information science, Avignon, France
Bobzien M, Petzold I, Burghardt D (2007) Automated derivation of a 1:300,000 topographic map from swiss dlm vector 200. In: Proceedings of the international cartographic congress, Moscow, Russia, International cartographic association
Brassel KE, Weibel R (1988) A review and conceptional framework of automated map generalization. Int J Geogr Inf Syst 2(3):224–229
Bröring A, Echterhoff J, Jirka S, Simonis I, Everding T, Stasch C, Liang S, Lemmens R (2011) New generation sensor web enablement. Sens Open Access J 11(3):2652–2699
Cao L, Krumm J (2009) From GPS traces to a routable road map. In: 17th ACM SIGSPATIAL International conference on advances in geographic information systems (ACM SIGSPATIAL GIS 2009), November 4-6, 2009. Seattle, WA, pp 3–12
Chen Y, Krumm J (2010) Probabilistic modeling of traffic lanes from GPS traces. In: 18th ACM SIGSPATIAL international conference on advances in geographic information systems (ACM SIGSPATIAL GIS 2010), November 2-5, 2010. San Jose, CA
Coleman DJ, Geogiadou Y, Labonte J (2009) Volunteered geographic information: the nature and motivation of producers. Int J Spat Data Infrastruct Res 4:332–358
Dahinden T, Sester M (2009) Categorization of linear objects for map generalization using geocoded articles of a knowledge repository. In: Proceedings of the international workshop presenting spatial information: granularity, relevance, and integration, held in conjunction with the conference on spatial information theory, COSIT
Davies JJ, Beresford AR, Hopper A (2006) Scalable, distributed, real-time map generation. IEEE Pervasive Comput 5(4):47–54CrossRef
Dalyot S, Dahinden T, Schulze, MJ, Boljen, J, Sester, M (2012) Geometrical adjustment towards the alignment of vector databases. In: ISPRS annals of photogrammetry, remote sensing and spatial information sciences, vol. I–4, pp. 13–18
Devillers R, Jeansoulin R (2006) Fundamentals of spatial data quality. ISTE, LondonCrossRef
Devillers R, Bédard Y, Jeansoulin R, Moulin B (2007) Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data. IJGIS 21(3):261–282
Devogele T, Trevisan J, Raynal L (1996) Building a multiscale database with scale-transition relationships. In: Proceedings of the 7th international symposium on spatial data handling, advances in GIS research II. Delft, The Netherlands, pp 6.19–6.33
Duckham M (2012) Decentralized spatial computing: foundations of geosensor networks. Springer, Berlin
Fink M, Haunert JH, Schulz A, Spoerhase J, Wolff A (2012) Algorithms for labeling focus regions. Vis Comput Graph IEEE Trans 18(12):2583–2592CrossRef
Fritz S, McCallum I, Schill C, Perger C, See L, Schepaschenko D, Van der Velde M, Kraxner F, Obersteiner M (2012) Geo-Wiki: an online platform for improving global land cover. Environ Model Softw 31:110–123CrossRef
Gartner G (2012) openemotionmap.org—emotional response to space as an additional concept in cartography, international archives of the photogrammetry, remote sensing and spatial information sciences, vol XXXIX-B4
Gervais M, Bedard Y, Levesque M, Bernier E, Devillers R (2009) Data quality issues and geographic knowledge discovery, pp 99–116
Girres JF, Touya G (2010) Quality assessment of the French OpenStreetMap dataset. Trans GIS 14(4):435–459CrossRef
Goodchild MF (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69:211–221CrossRef
Goodchild MF, Li L (2012) Assuring the quality of volunteered geographic information. Spat Stat 1:110–120CrossRef
Grünreich D (1992) ATKIS—a topographic information system as a basis for GIS and digital cartography in Germany. In: Vinken R (ed) From digital map series in geosciences to geo-information systems. Geologisches Jahrbuch, Federal institute of geosciences and resources, Hannover, vol A(122), pp 207–216
Guptill SC, Morrison J (1995) Elements of spatial data quality. Elsevier Science, New York
Hahmann S, Burghardt D (2010) Linked data—a multiple representation database at web scale? In: Proceedings of the 13th ICA workshop on generalisation and multiple representation, Zurich, Switzerland
Haklay M (2010) How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets. Environ Plann B: Plann Des 37(4):682–703CrossRef
Haklay M, Basiouka S, Antoniou V, Ather A (2010) How many volunteers does it take to map an area well? The validity of Linus’ law to volunteered geographic information. Cartographic J 47(4):315–322CrossRef
Hampe M, Sester M, Harrie L (2004) Multiple representation databases to support visualisation on mobile devices, international archives of photogrammetry and remote sensing, vol 35. Istanbul, Turkey
Haunert JH, Budig B (2012) An algorithm for map matching given incomplete road data. In: Proceedings of the 20th ACM SIGSPATIAL international conference on advances in geographic information systems (ACM-GIS’12), pp 510–513
Helbich M, Amelunxen C, Neis P (2012) Comparative spatial analysis of positional accuracy of openstreetmap and proprietary geodata. Int. GI_Forum 2012. Salzburg, Austria
Henson C, Pschorr J, Sheth A, Thirunarayan K (2009) SemSOS semantic sensor observation service. International symposium on collaborative technologies and systems
Hollenstein L, Purves R (2010) Exploring place through user-generated content: using Flickr tags to describe city cores. J Spat Inf Sci 1(2010):21–48
Jaara K, Duchêne C, Ruas A (2011) Toward the generalisation of cartographic mashups: taking into account the dependency between the thematic data and the reference data throughout the process of automatic generalisation, 14th ICA workshop on generalisation and multiple representation, Paris, France, 30 June–1 July 2011
Jokar Arsanjani J, Barron C, Bakillah M, Helbich M (2013a) Assessing the quality of OpenStreetMap contributors together with their contributions. In: Proceedings of the 16th AGILE conference, Leuven, Belgium
Jones CB, Purves P, Clough D, Joho H (2008) Modelling vague places with knowledge from the web. Int J Geogr Inf Sci 22(10):1045–1065CrossRef
Kieler B, Huang W, Haunert JH, Jiang J (2009) Matching river datasets of different scales. Advances in GIScience. In: Proceedings of 12th AGILE conference on GIScience, lecture notes in Geoinformation and cartography, Springer, Berlin, pp 135–154
Kilpeläinen T (1992) Multiple representations and knowledge-based generalization of topographical data. In: Waugh TC, Healey RG (eds) Advances in GIS research. In: Proceedings of the 6th international symposium on spatial data handling, IGU commission on GIS and association for geographic information, Edinburgh, GB, pp 882–893
Kinkeldey C, Schiewe J (2012) Visualisierung thematischer Unsicherheiten mit “noise annotation lines”. Kartographische Nachrichten 62(5):241–249
MacEachren AM (1992) Visualizing uncertain information. In: cartographic perspectives, vol 13, p 10
Mackaness W, Ruas A, Sarjakoski T (2007) Generalisation of geographic information: cartographic modelling and applications. Oxford, Elsevier
Mackaness WA, Chaudhry O (2013) Assessing the veracity of TF-IDF for extracting place semantics from Flickr tags transactions in GIS (in press)
McMaster RB, Shea KS (1992) Generalization in digital cartography. Association of American Geographers, Washington
Mondzech J, Sester M (2011) Quality analysis of OpenStreetMap data based on application needs. Cartographica 46(2):115–125CrossRef
Mustière S, Devogele T (2008) Matching networks with different levels of detail. GeoInformatica 12(4):435–453CrossRef
Neis P, Zielstra D, Zipf A (2012) The street network evolution of crowdsourced maps: OpenStreetMap in Germany 2007–2011. Future Internet 4(1):1–21
Newson P and Krumm J (2009) Hidden markov map matching through noise and sparseness. In: Proceedings of the 17th ACM SIGSPATIAL international conference on advances in geographic information systems (GIS ‘09), pp 336–343
Noy N (2004) Semantic integration: a survey of ontology based approaches. SIGMOD Rec 33:65–70
Paelke V, Dahinden T, Eggert D, Mondzech J (2012) Location based context awareness through tag‐cloud visualizations. Adv Geo‐Spatial Inf Sci (CRC Press)
Poser K, Dransch D (2010) Volunteered geographic information for disaster management with application to rapid flood damage estimation. Geomatica 64(1):89–98
Quddus MA, Ochieng WY, Noland RB (2007) Current map-matching algorithms for transport applications: state-of-the art and future research directions. Transp Res Part C: Emerg Technol 15(5):312–328CrossRef
Rabiner LR, Juang BH (1986) An introduction to hidden Markov models. IEEE ASSP Mag 3(1):4–15CrossRef
Ramm F (2012) Am Puls der Zeit—Minütliche updates bei OpenStreetMap. Paper presented at the FOSSGIS 2012, Dessau
Ramm F, Topf J, Chilton S (eds) (2010) OpenStreetMap: using and enhancing the free map of the world. UIT Cambridge, Cambridge
Roick O, Heuser S (2013) Location based social networks—definition, current state of the art and research agenda. Trans GIS. doi:10.​1111/​tgis.​12032
Safra E, Doytsher Y (2006) Integration of multiple geo-spatial datasets. ASPRS 2006 annual conference, Reno, Nevada
Samet H (eds) (2005) Foundations of multidimensional and metric data structures. The Morgan Kaufmann series in computer graphics and geometric modeling. Morgan Kaufmann Publishers Inc. San Francisco, CA, USA
Sayda F (2005) Involving LBS users in data acquisition and update. In: Proceedings of the AGILE, Portugal
Schroedl S, Wagstaff K, Rogers S, Langley P, Wilson C (2004) Mining GPS traces for map refinement. Data Min Knowl Disc 9(1):59–87CrossRef
Scofield RP, Christie D, Sagar PM, Sullivan B (2012) eBird and avifaunal monitoring by the ornithological society of New Zealand. NZ J Ecol 36:279–286
Senaratne H, Gerharz L (2011) An assessment and categorisation of quantitative uncertainty visualisation methods. The 14th AGILE international conference on geographic information science, Utrecht, Netherlands, 18–21 April 2011
Sengstock C, Gertz M (2012) Latent geographic feature extraction from social media. In: Proceedings of the 20th ACM SIGSPATIAL international conference on advances in geographic information systems, Redondo Beach
Sheeren D, Mustière S, Zucker JD (2009) A data-mining approach for assessing consistency between multiple representations in spatial databases. Int J Geogr Inf Sci 23(8):961–992CrossRef
Siebritz L, Sithole G, Zlatanova S (2012) Assessment of the homogeneity of volunteered geographic information in South Africa. In: international archives of the photogrammetry, remote sensing and spatial information sciences, vol 39-B4. XXII ISPRS Congress, Melbourne, Australia
Siriba DN, Dalyot S, Sester M (2012) Geometric quality enhancement of legacy graphical cadastral datasets through thin plate splines transformation. Surv Revi 44(325):91–101
Slingsby A, Dykes J, Wood J, Clarke K (2007) Mashup cartography: cartographic issues of using Google earth for tag maps. ICA commission on maps and the internet, ICA, Warsaw, Poland, pp 79–93
Smart PD, Quinn JA, Jones CB (2011) City model enrichment. ISPRS J Photogram Remote Sens 6(2):223–234CrossRef
Stefanidis A, Nittel S (2004) Geosensor networks. CRC Press, Boca Raton
Stigmar H (2005) Matching route data and topographic data in a real-time environment. In: Hauska H, Tveite H (eds) ScanGIS’2005—proceedings of the 10th scandinavian research conference on geographical information sciences, Stockholm, Sweden, pp 89–107
Stoter JE, Meijers M, van Oosterom P, Grünreich D, Kraak MJ (2010) Applying DLM and DCM concepts in a multi—scale data environment. Paper presented at GDI 2010: a symposium on generalization and data integration, Boulder, USA, 20–22 June 2010
Sullivan BL, Wood CL, Iliff MJ, Bonney RE, Fink D, Kelling S (2009) eBird: a citizen-based bird observation network in the biological sciences. Biol Conserv 142(10):2282–2292CrossRef
Surowiecki J (ed) (2004) The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies. Societies and Nations Little, Doubleday
Tauscher S, Neumann K (2012) Combining web map services and opinion mining to generate sentiment maps of touristic locations, symposium on service oriented mapping, Wien, JOBSTMedia Präsentation Management Verlag, pp 277–286, 11/2012
Touya G (2012) What is the level of detail of OpenStreetMap? Role of volunteered geographic information in advancing science: quality and credibility. In: conjunction with GIScience 2012, 18 Sept 2012
van Oort P (2006) Spatial data quality: from description to application. PhD Thesis, Wageningen University, The Netherlands
Volz S (2005) Data-driven Matching of Geospatial Schemas. In: Cohn AG, Mark DM (eds) Spatial information theory. Proceedings of the international conference on spatial information theory (COSIT '05), Ellicottville, NY. Lecture Notes in Computer Science 3693, pp. 115–132
Walter V, Fritsch D (1999) Matching spatial data sets: a statistical approach. Int J Geogr Inf Sci 13(5): 445–473
Warneke H, Schäfers M, Lipeck U, Bobrich J (2011) Matching-based map generalization by transferring geometric representations. In: Proceedings Geoinformatik 2011, Münster, pp 71–77
Weibel R, Dutton G (2005) Generalizing spatial data and dealing with multiple representations. In: Longley P, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical information systems: principles, techniques, management and applications, 2nd edn (Abridged Edition). Wiley
Yates D, Paquette S (2011) Emergency knowledge management and social media technologies: a case study of the 2010 Haitian earthquake. Int J Inf Manage 31(1):6–13CrossRef
Zhang Y, Yang B, Luan X (2012) Automated matching crowdsourcing road networks using probabilistic relaxation. In: ISPRS annals of photogrammetry, remote sensing and spatial information sciences, vol 1–4
Zook M, Graham M, Shelton T, Gorman S (2010) Volunteered geographic information and crowdsourcing disaster relief: a case study of the haitian earthquake. World Med Health Policy 2:7–33. doi:10.​2202/​1948-4682.​1069
Metadaten
Titel
Integrating and Generalising Volunteered Geographic Information
verfasst von
Monika Sester
Jamal Jokar Arsanjani
Ralf Klammer
Dirk Burghardt
Jan-Henrik Haunert
Copyright-Jahr
2014
Buch
Abstracting Geographic Information in a Data Rich World

Print ISBN: 978-3-319-00202-6

Electronic ISBN: 978-3-319-00203-3

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-00203-3_5