Abstract
Geographic information is increasingly contributed by volunteers via crowdsourcing platforms. However, most tools and methods require a high technical affinity of its users and a good understanding of geographic classification systems. These technological and educational barriers prevent casual users to contribute spatial data. In this chapter we present mapIT, a method to acquire and contribute complex geographic data. We further introduce the concept of micro-mapping, the acquisition of geometrically correct geometric data of small geographic entities. mapIT is a method for micro-mapping with smartphones with high geometric precision. We show that mapIT is highly accurate and able to reconstruct the geometry of mapped entities correctly.Please check and confirm the author names and initials are correct.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
WYSIWYG: “What-You-See-Is-What-You-Get”
- 6.
- 7.
At the current state, the parameter \(h\) has to be set manually.
References
Aanensen D, Huntley D, Feil E, Spratt B et al (2009) Epicollect: linking smartphones to web applications for epidemiology, ecology and community data collection. PLoS One 4(9):e6968
Asyraf Hamdani M, Hashim K, Adnan R, Manan Samad A (2011) 3D images processing of structural building using digital close-range photogrammetric approach. In: IEEE 7th international colloquium on signal processing and its applications (CSPA), pp 318–321
Biagioni J, Eriksson J (2012) Map inference in the face of noise and disparity. In: Proceedings of the 20th international conference on advances in geographic information systems (ACM SIGSPATIAL GIS 2012), Redondo Beach, California
Brando C, Bucher B, Abadie N (2011) Specifications for user generated spatial content. Adv Geoinf Sci Chang World, pp 479–495
Douglas D, Peucker T (1973) Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. The Canadian Cartographer, 10(2):112–172
Du X, Jin X, Zhang X, Shen J, Hou X (2009) Geometry features measurement of traffic accident for reconstruction based on close-range photogrammetry. Adv Eng Soft 40(7):497–505
Elwood S (2008) Volunteered geographic information: future research directions motivated by critical, participatory, and feminist GIS. GeoJournal 72:173–183
Foley J, van Dam A, Feiner S, Hughes J, Phillips R (1993) Introduction to computer graphics. Addison-Wesley Professional
Fraser C, Cronk S, Hanley H (2008) Close-range photogrammetry in traffic incident management. In: Proceedings of XXI ISPRS congress commission V, WG V, Citeseer, vol 1, pp 125–128
Frommberger L, Schmid F, Cai C, Freksa C, Haddawy P (2012) Barrier-free micro-mapping for development and poverty reduction. Role of volunteered geographic information in advancing science: quality and credibility
Goodchild M (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69(4):211–221
Goodchild M (2009) Neogeography and the nature of geographic expertise. J Location Based Serv 3(2):82–96
Haklay M (2010) How good is volunteered geographical information? A comparative study of openstreetmap and ordnance survey datasets. Environ Plan B Plan Des 37(4):682–703
Jiang R, Jáuregui D, White K (2008) Close-range photogrammetry applications in bridge measurement: literature review. Measurement 41(8):823–834
Jones CE, Weber P (2012) Towards usability engineering for online editors of volunteered geographic information: a perspective on learnability. Trans GIS 16(4):523–544
Luhmann T (2010) Close range photogrammetry for industrial applications. ISPRS J Photogram Rem Sens 65(6):558–569
Luo J, Joshi D, Yu J, Gallagher A (2011) Geotagging in multimedia and computer vision—a survey. Multimedia Tools Appl 51:187–211
Maisonneuve N, Chopard B (2012) Crowdsourcing satellite imagery analysis: study of parallel and iterative models. Geograph Inf Sci, pp 116–131
Ramm F, Topf J, Chilton S (2010) OpenStreetMap—using and enhancing the free map of the world, UIT Cambridge
Schmid F, Cai C, Frommberger L (2012) A new micro-mapping method for rapid vgi-ing of small geographic features. In: Geographic information science: 7th international conference (GIScience, (2012) Columbus, Ohio, USA
Schmid F, Kutz O, Frommberger L, Kauppinen T, Cai C (2012) Intuitive and natural interfaces for geospatial data classification. In: Workshop on place-related knowledge acquisition research (P-KAR), Kloster Seeon, Germany
Sui D (2008) The wikification of GIS and its consequences: or Angelina Jolie’s new tattoo and the future of GIS. Comput Environ Urban Sys 32(1):1–5
Turner AJ (2006) Introduction to neogeography. O’Reilly, Media
Acknowledgments
We gratefully acknowledge support by the University of Bremen, the German Research Foundation (DFG) within the SFB/TR8 Spatial Cognition and the International Research Training Group on Semantic Integration of Geospatial Information (GRK 1498), and support by the European Union Seventh Framework Programme—Marie Curie Actions, Initial Training Network GEOCROWD under grant agreement No. FP7-PEOPLE-2010-ITN-264994.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Schmid, F., Frommberger, L., Cai, C., Freksa, C. (2013). What You See is What You Map: Geometry-Preserving Micro-Mapping for Smaller Geographic Objects with mapIT . In: Vandenbroucke, D., Bucher, B., Crompvoets, J. (eds) Geographic Information Science at the Heart of Europe. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-00615-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-00615-4_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00614-7
Online ISBN: 978-3-319-00615-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)