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Analysis and Configuration of Boundary Difference Calculations

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 8836)

Abstract

In the field of land management, stakeholders (people) everywhere have many disputes over the location of boundaries between private land and public land. We find that the stakeholders disagree with each other over boundaries. We propose an approach that helps people to come to an agreement on position of boundaries (including pixel-based approach, polygon-based approach and middle boundary approach). The experiments are carried out on data relating to public parks in Auckland, New Zealand. The results of the experiments highlight the differences between different stakeholder’s percieved boundaries.

Keywords

Boundary Negotiation Boundary Disputes Polygon-based Boundary Calcluation GPS-based Boundary Detection 

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References

  1. 1.
    Shmueli, D.F.: Framing in geographical analysis of environmental conflicts: Theory, methodology and three case studies. Geoforum 39(6), 2048–2061 (2008)CrossRefGoogle Scholar
  2. 2.
    He, Y., Kundu, A.: 2-d shape classification using hidden markov model. IEEE Transactions on Pattern Analysis and Machine Intelligence 13(11), 1172–1184 (1991)CrossRefGoogle Scholar
  3. 3.
    Bicego, M., Murino, V.: Investigating hidden markov models’ capabilities in 2-d shape classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(2), 281–287 (2004)CrossRefGoogle Scholar
  4. 4.
    Deneme, I., Yerli, H., Severcan, M., Tanrikulu, A., Tanrikulu, A.: Use and comparison of different types of boundary elements for 2d soil-structure interaction problems. Advances in Engineering Software 40, 847–855 (2009)CrossRefzbMATHGoogle Scholar
  5. 5.
    Rom, H., Medioni, G.: Hierarchical decomposition and axial shape description. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(10), 973–981 (1993)CrossRefGoogle Scholar
  6. 6.
    Liu, Y., Yuan, Y., Xiao, D., Zhang, Y., Hu, J.: A point-set-based approximation for areal objects: A case study of representing localities. Computers, Environment and Urban Systems 34, 28–39 (2010)CrossRefGoogle Scholar
  7. 7.
    Stehman, S.: Estimating area from an accuracy assessment error matrix. Remote Sensing of Environment 132, 202–211 (2013)CrossRefGoogle Scholar
  8. 8.
    Baffetta, F., Fattorini, L., Franceschi, S., Corona, P.: Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys. Remote Sensing of Environment 113, 463–475 (2009)CrossRefGoogle Scholar
  9. 9.
    von der Dunk, A., Grêt-Regamey, A., Dalang, T., Hersperger, A.M.: Defining a typology of peri-urban land-use conflicts–a case study from switzerland. Landscape and Urban Planning 101(2), 149–156 (2011)CrossRefGoogle Scholar
  10. 10.
    Forest, B.: Information sovereignty and gis: the evolution of communities of interest in political redistricting. Political Geography 23(4), 425–451 (2004)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Unitec Institute of TechnologyAucklandNew Zealand

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