Skip to main content

Introduction

  • Chapter
  • First Online:

Abstract

Multiscale vector map database is one of the most fundamental components in the national spatial data infrastructure (NSDI), because vector map data provides geographically spatial positioning bases for various location-based services in the communities of politics, economy, military, environment, traffic, transportation, and telecommunication, etc., and plays an important role in the construction of digital cities (Yan 2010).

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Budanitsky A, Hirst G (2001) Semantic distance in WordNet: an experimental, application-oriented evaluation of five measures. Workshop on WordNet and Other Lexical Resources, the second meeting of the North American chapter of the association for computational linguistics, Pittsburgh

    Google Scholar 

  • Douglas D, Peucker T (1973) Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. Canad Cartographer 10(2):112–122

    Article  Google Scholar 

  • Du SH, Qin QM, Wang Q, Ma HJ (2008) Reasoning about topological relations between regions with broad boundaries. Int J Approx Reason 47(2):219–232

    Article  Google Scholar 

  • Egenhofer M, Franzosa R (1991) Point-set topological spatial relations. Int J Geogr Inf Syst 5(2):161–174

    Article  Google Scholar 

  • Goldstone RL (2004) Similarity. In: Wilson RA, Keil FC (eds) MIT Encyclopedia of the Cognitive Sciences. MIT, Cambridge

    Google Scholar 

  • Goyal RK (2000) Similarity assessment for cardinal directions between extended spatial objects. PhD thesis, The University of Maine, Orono

    Google Scholar 

  • Guo RZ (1997) Spatial analysis. Press of Wuhan Technical University of Surveying and Mapping, Wuhan (in Chinese)

    Google Scholar 

  • Harley JB, Woodward D (2005) The history of cartography, vol 3, Cartography in the European renaissance. University of Chicago, Chicago

    Google Scholar 

  • Harvey PDA (1980) The history of topographical maps: symbols, pictures and surveys. Thames and Hudson, London, p 9

    Google Scholar 

  • Hong J (1994) Qualitative distance and direction reasoning in geographic space. Ph.D. Thesis, University of Maine, USA

    Google Scholar 

  • Kraak MJ, Ormeling F (1996) Cartography: visualization of spatial data. Longman, London

    Google Scholar 

  • Li B, Fonseca FT (2006) TDD—a comprehensive model for qualitative spatial similarity assessment. Spat Cogn Comput 6(1):31–62

    Google Scholar 

  • Markman AB (1997) Constraints on analogical inference. Cognit Sci 21(4):373–418

    Article  Google Scholar 

  • Medin DL, Goldstone RL, Gentner D (1993) Respects for similarity. Psychol Rev 100(2):254–278

    Article  Google Scholar 

  • Petraglia G, Sebillo M, Tucci M, Tortora G (2001) Virtual images for similarity retrieval in image databases. IEEE Trans Knowledge Data Eng 13(6):951–967

    Article  Google Scholar 

  • Peuquet D (1986) The use of spatial relationships to aid spatial database retrieval. Proceedings of the 2nd international symposium on spatial data handling (SDH). Zurich

    Google Scholar 

  • Rodríguez A, Egenhofer M (2003) Determining semantic similarity among entity classes from different ontologies. IEEE Trans Knowledge Data Eng 15(2):442–456

    Article  Google Scholar 

  • Rodríguez A, Egenhofer M (2004) Comparing geospatial entity classes: an asymmetric and context-dependent similarity measure. Int J Geogr Inform Sci 18(3):229–256

    Article  Google Scholar 

  • Ruas A (2001) Automating the generalization of geographical data. Proceedings of the 20th international cartographic conference. Beijing, pp. 1943–1953

    Google Scholar 

  • Ruas A (1998) A method for building displacement in automated map generalization. Int J Geogr Inform Sci 12(8):789–803

    Article  Google Scholar 

  • Santini S, Jain R (1996) Similarity queries in image databases. Proceedings of the IEEE international conference on computer vision and pattern recognition. San Francisco, pp. 646–651

    Google Scholar 

  • Töpfer F, Pillewizer W (1966) The principles of selection. Cartographic J 3(1):10–16

    Article  Google Scholar 

  • Tversky A (1977) Features of similarity. Psychol Rev 84(4):327–352

    Article  Google Scholar 

  • Tversky B, Agrawala M, Heiser J, Lee P, Hanrahan P, Phan D, Daniel MP (2007) Cognitive design principles for automated generation of visualizations. In: Allen G (ed) Applied spatial cognition: from research to cognitive technology. Erlbaum, Mahwah, pp 53–75

    Google Scholar 

  • Wang JY (1993) Principles of general map generalization. Surveying and Mapping, Beijing (in Chinese)

    Google Scholar 

  • Weibel R, Jones CB (1998) Computational perspectives on map generalization. GeoInformatica 2(4):307–314

    Article  Google Scholar 

  • Yan HW (2010) Fundamental theories of spatial similarity relations in multi-scale map spaces. Chin Geogra Sci 20(1):18–22

    Article  Google Scholar 

  • Yan HW, Chu YD, Li ZL, Guo RZ (2006a) A quantitative direction description model based on direction groups. GeoInformatica 10(2):177–196

    Article  Google Scholar 

  • Yan HW, Li ZL, Ai TH (2006b) System for automated cartographic map generalization. Chin Geogra Sci 16(2):165–170

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Yan, H., Li, J. (2015). Introduction. In: Spatial Similarity Relations in Multi-scale Map Spaces. Springer, Cham. https://doi.org/10.1007/978-3-319-09743-5_1

Download citation

Publish with us

Policies and ethics