Geoscience Reference
In-Depth Information
5 Conclusion
This paper presented a new approach to typification of ditches, which combined
two clustering ideas, i.e., grouping according to the idea of division and consid-
ering the density variation. The original distribution pattern and the density var-
iation of ditches were taken into account in representation, which made
visualization of ditches after typification similar to the initial condition. Future
work will focus on the conflict detection and coordination between the ditches and
other objects.
Acknowledgments We would especially like to thank the two anonymous reviewers for their
helpful comments. Work describe in this article was supported by project from the National
Science Foundation for Fostering Talents in Basic Research of the National Natural Science
Foundation of China (Grant No. J1103409).
References
Anders KH (2006) Grid typification. In: 12th international symposium on spatial data handling,
progress in spatial data handling. Springer, Heidelberg, pp 633-642
Arthur D, Vassilvitskii S (2007) k-means++: the advantages of careful seeding. Proceedings of
the 18th annual ACM-SIAM symposium on discrete algorithms 2007, pp 1027-1035
Bennett ER, Moore MT (2005) Vegetated agricultural drainage ditches for the mitigation of
pyrethroid-associated runoff. Environ Toxicol Chem 24(9):2121-2127
Burghardt D, Cecconi A (2007) Mesh simplification for building typification. Int J Geogr Inf Sci
21(3-4):283-298
Dunn SM, Mackay R (1996) Modelling the hydrological impacts of open ditch drainage. J Hydrol
179(1-4):37-66
Foerster T, Stoter J (2008) Generalization operators for practice—a survey at national mapping
agencies.
In:
Proceedings
of
the
11th
ICA
workshop
on
generalization
and
multiple
representation, Montpellier
Li Z-l (2007) Digital map generalization at the age of enlightenment: a review of the first forty
years. Cartograph J 44(1):80-93
McMaster R (1986) A statistical analysis of mathematical measures for linear simplification. Am
Cartograph 13(2):103-116
Regnauld N (2001) Contextual building typification in automated map generalization. Algorith-
mica 30(2):312-333
Sandro S, Massimo R, Matteo Z (2011) Pattern recognition and typification of ditches. In: Ruas
A(ed)
Advances
in
cartography
and
giscience,
Lecture
Notes
in
Geoinformation
and
Cartography. Springer, Heidelberg, pp 425-437
Sergios T, Konstantinos K (2009) Pattern recognition, 4th edn. (ISBN 978-1-59749-272-0)
Sester M (2005) Optimization approaches for generalization and data abstraction. Int J Geogr Inf
Sci 19(8-9):871-897
Shea KS, McMaster RB (1989) Cartographic generalization in a digital environment: when and
how to generalize. In: Proceedings of Auto-carto 9, Baltimore, pp 56-67
Shindler M (2008) Approximation algorithm for the metric k-median problem. Masters thesis,
Department of Computer Science, UCLA
Smith DR (2009) Assessment of in-stream phosphorus dynamics in agricultural drainage ditches.
Sci Total Environ 407(12):3883-3889
Search WWH ::




Custom Search