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Geographical Information Engineering in the 21st Century

  • Gilberto Câmara
  • Lúbia Vinhas
  • Clodoveu Davis
  • Fred Fonseca
  • Tiago Carneiro
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

This paper discusses the challenges facing GIS designers in the 21st century. We argue that GI engineers lack a sound theoretical basis that would allow them to make best use of new technologies that handle geospatial data. Considering three important topics for the new generations of GIS (change, semantics, and cognition) we show that GIS theory is in a state of flux. Thus, researchers and engineers need to cooperate more for the new generation of GIS to be built in the best possible way.

Keywords

Geographical Information System Spatial Cognition Geospatial Data Remote Sensing Image Graphical Information System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

Acknowledgments

The authors would like to thank Andrew Frank, whose research contributions have pointed to many areas, which are relevant to the GIE field. Frank has contributions in many areas, and this paper discusses only a limited part of his work. The authors also thank Werner Kuhn for many hours of inspired discussion, and the two anonymous reviewers for much useful guidance. Gilberto Camara’s work is partially funded by CNPq (grant PQ 550250/2005-0) and FAPESP (grant 04/11012-0).

References

  1. Bittencourt O, Câmara G, Vinhas L, Mota J (2007) Rule-based Evolution of Typed Spatio-temporal Objects. In: Vinhas L, Costa AR (eds) IX Brazilian Symposium on Geoinformatics (GeoInfo 2007). INPE (ISBN 978-85-17-00036-2), Campos do Jordão, São Paulo, BrazilGoogle Scholar
  2. Brooks Jr. FP (1996) The computer scientist as toolsmith II. Communications of the ACM 39: 61–68CrossRefGoogle Scholar
  3. Câmara G, Souza R, Freitas U, Garrido J (1996) SPRING: Integrating Remote Sensing and GIS with Object-Oriented Data Modelling. Computers and Graphics 15: 13–22Google Scholar
  4. Câmara G, Egenhofer M, Fonseca F, Monteiro AM (2001) What’s In An Image? In: Montello D (ed) Spatial Information Theory: Foundations of Geographic Information Science. International Conference, COSIT 2001, Santa Barbara, CA. Lecture Notes on Computer Science 2205, Springer, Berlin Heidelberg New York, pp 474–487Google Scholar
  5. Câmara G, Vinhas L, Ferreira K, Queiroz G, Souza RCM, Monteiro AM, Carvalho MT, Casanova MA, Freitas UM (2008) TerraLib: An open-source GIS library for large-scale environmental and socio-economic applications. In: Hall B, Leahy M (eds) Open Source Approaches to Spatial Data Handling. Springer (ISBN 978-3-540-74830-4), Berlin Heidelberg New York, pp 247–270CrossRefGoogle Scholar
  6. Carneiro T (2006) Nested-CA: a foundation for multiscale modeling of land use and land change. PhD Thesis in Computer Science (available at www.dpi.inpe.br/gilberto/teses/nested_ca.pdf). Computer Science Department, INPE, Sao Jose dos Campos
  7. Couclelis H (1992) People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS. In: Frank AU, Campari I, Formentini U (eds) Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, Springer, Berlin Heidelberg New York, pp 65–77Google Scholar
  8. Dutton G (ed) (1978) First International Advanced Study Symposium on Topological Data Structures for Geographic Information Systems. Addison-Wesley, Reading, MAGoogle Scholar
  9. Egenhofer MJ (1997) Query Processing in Spatial-Query-by-Sketch. Journal of Visual Languages and Computing 8: 403–424CrossRefGoogle Scholar
  10. Egenhofer M, Frank AU (1992) Object-Oriented Modeling for GIS. Journal of the Urban and Regional Information Systems Association 4: 3–19Google Scholar
  11. Egenhofer M, Franzosa R (1991) Point-Set Topological Spatial Relations. International Journal of Geographical Information Systems (IJGIS) 5: 161–174CrossRefGoogle Scholar
  12. Egenhofer MJ, Mark DM (1995) Naive Geography. In: Frank AU, Kuhn W (eds) Spatial Information Theory—A Theoretical Basis for GIS, International Conference COSIT ’95, Semmering, Austria. Springer, Berlin Heidelberg New York, pp 1–15Google Scholar
  13. Egenhofer MJ, Golledge RG (1998) Spatial and temporal reasoning in geographic information systems. Oxford University Press, New YorkGoogle Scholar
  14. Fonseca F, Egenhofer M, Agouris P, Camara G (2002) Using Ontologies for Integrated Geographic Information Systems. Transactions in GIS 6: 231–257CrossRefGoogle Scholar
  15. Frank AU (1996) Qualitative Spatial Reasoning: Cardinal Directions as an Example. International Journal of Geographical Information Science (IJGIS) 10: 269–290CrossRefGoogle Scholar
  16. Frank AU (1999) One Step up the Abstraction Ladder: Combining Algebras - From Functional Pieces to a Whole. In: Freksa C, Mark DM (eds) COSIT - Conference on Spatial Information Theory. Lecture Notes in Computer Science 1661. Springer, Berlin Heidelberg New York, pp 95–108Google Scholar
  17. Frank AU (2001) Tiers of ontology and consistency constraints in geographic information systems. International Journal of Geographical Information Science (IJGIS) 15: 667–678CrossRefGoogle Scholar
  18. Frank AU (2003) Ontology for Spatio-temporal Databases. In: Koubarakis M, Sellis T, Frank AU, Grumbach S, Güting RH, Jensen CS, Lorentzos N, Manolopoulos Y, Nardelli E, Pernici B, Schek H-J, Scholl M, Theodoulidis B, Tryfona N (eds) Spatio-Temporal Databases: The Chorochronos Approach. Springer, Berlin Heidelberg New York: 9–78CrossRefGoogle Scholar
  19. Frank AU (2007) Twenty years of reasoning with spatial relations. In: Fisher P (ed): Classics from IJGIS. CRC Press, Boca Raton, FL, pp 353–361Google Scholar
  20. Frank AU, Kuhn W (1995) Specifying Open GIS with Functional Languages. In: Egenhofer MJ, Herring J (eds) Advances in Spatial Databases—4th International Symposium, SSD ‘95, Portland, ME. Springer, Berlin Heidelberg New York, pp 184–195Google Scholar
  21. Freksa C (1991) Qualitative Spatial Reasoning. In: Mark DM, Frank AU (eds) Cognitive and Linguistic Aspects of Geographic Space. Kluwer Academic Press, Dordrecht, The Netherlands, 361–372Google Scholar
  22. Galton A (2004) Fields and Objects in Space, Time, and Space-time. Spatial Cognition and Computation 4: 39–68CrossRefGoogle Scholar
  23. Golledge RG (ed) (1999) Wayfinding Behavior: Cognitive Mapping and Other Spatial Processes. Johns Hopkins University Press, BaltimoreGoogle Scholar
  24. Goodchild M (1992a) Geographical Data Modeling. Computers and Geosciences 18: 401–408CrossRefGoogle Scholar
  25. Goodchild M (1992b) Geographical Information Science. International Journal of Geographical Information and Analysis 6: 31–45CrossRefGoogle Scholar
  26. Grenon P, Smith B (2003) SNAP and SPAN: Towards Dynamic Spatial Ontology. Spatial Cognition & Computation 4: 69–104CrossRefGoogle Scholar
  27. Güting RH, Schneider M (2005) Moving Objects Databases. Morgan Kaufmann, New YorkGoogle Scholar
  28. Güting RH, Bohlen MH, Erwig M, Jensen CS, Lorentzos N, Nardelli E, Schneider M, Viqueira JRR (2003) Spatio-temporal Models and Languages: An Approach Based on Data Types. In: Koubarakis M (ed) Spatio-Temporal Databases, Springer, Berlin Heidelberg New YorkGoogle Scholar
  29. Hägerstrand T (1967) Innovation Diffusion as a Spatial Process. The University of Chicago Press, Chicago, ILGoogle Scholar
  30. Herring J (1992) TIGRIS: A Data Model for an Object-Oriented Geographic Information System. Computers and Geosciences 18: 443–452CrossRefGoogle Scholar
  31. Ierusalimschy R, Figueiredo LH, Celes W (1996) Lua-an extensible extension language. Software: Practice & Experience 26: 635–652CrossRefGoogle Scholar
  32. Kintisch E (2007) Carbon Emissions: Improved Monitoring of Rainforests Helps Pierce Haze of Deforestation. Science 316: 536–537CrossRefGoogle Scholar
  33. Krieg-Brückner B, Shi H (2006) Orientation Calculi and Route Graphs: Towards Semantic Representations for Route Descriptions. In: Raubal M, Miller H, Frank AU, Goodchild MF (eds) Fourth International Conference in Geographic Information Science (GIScience 2006), Münster, Germany, Lecture Notes in Computer Science 4197, Springer, Berlin Heidelberg New YorkGoogle Scholar
  34. Kuhn W, Frank AU (1991) A Formalization of Metaphors and Image-Schemas in User Interfaces. In: Mark DM, Frank AU (eds) Cognitive and Linguistic Aspects of Geographic Space. Kluwer Academic Publishers, Dordrecht, pp 419–434.Google Scholar
  35. Lakoff G, Johnson M (1980) Metaphors We Live By. University of Chicago Press, Chicago, ILGoogle Scholar
  36. Mark DM, Frank AU (1991) Cognitive and Linguistic Aspects of Geographic Space. Kluwer Academic Publishers, DordrechtGoogle Scholar
  37. Medak D (2001) Lifestyles. In: Frank AU, Raper J, Cheylan J-P (eds) Life and Motion of Socio-Economic Units. ESF Series. Taylor & Francis, LondonGoogle Scholar
  38. Miller HJ (2003) What about people in geographic information science? Computers, Environment and Urban Systems 27: 447–453CrossRefGoogle Scholar
  39. Montello D (2001) Spatial Cognition. In: Smelser NJ, Baltes PB (eds): International Encyclopedia of the Social and Behaviorial Sciences. Pergamon Press, Oxford, 14771–14775Google Scholar
  40. Morehouse S (1992) The ARC/INFO Geographical Information System. Computers & Geosciences 18: 435–443CrossRefGoogle Scholar
  41. Searle JR (1997) The mystery of consciousness. New York Review of Books, New YorkGoogle Scholar
  42. Silva MPS, Câmara G, Souza RCM, Valeriano DM, Escada MIS (2005) Mining Patterns of Change in Remote Sensing Image Databases. In: Han J, Wah B (eds) The Fifth IEEE International Conference on Data Mining. IEEE, Houston, USAGoogle Scholar
  43. Tomlinson R (ed) (1972) Geographical Data Handling. UNESCO/IGU, Ottawa, CanadaGoogle Scholar
  44. Tversky B (1993) Cognitive Maps, Cognitive Collages, and Spatial Mental Models. In: Frank AU, Campari I (eds): Spatial Information Theory: A Theoretical Basis for GIS, COSIT’93, Elba, ItalyGoogle Scholar
  45. Worboys M (1994) A Unified Model for Spatial and Temporal Information. The Computer Journal 37: 27–34CrossRefGoogle Scholar
  46. Worboys M (2005) Event-oriented approaches to geographic phenomena. International Journal of Geographical Information Science (IJGIS) 19: 1–28CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Gilberto Câmara
    • 1
  • Lúbia Vinhas
    • 1
  • Clodoveu Davis
    • 2
  • Fred Fonseca
    • 3
  • Tiago Carneiro
    • 4
  1. 1.Image Processing DivisionNational Institute for Space Research (INPE)Belo HorizonteBrazil
  2. 2.Computer Science DepartmentFederal University of Minas GeraisBelo HorizonteBrazil
  3. 3.College of Information Sciences and TechnologyPennsylvania State University, State CollegePennsylvaniaUSA
  4. 4.Computer Science Institute, Federal University of Ouro PretoBelo HorizonteBrazil

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