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@ -23,3 +23,64 @@
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month={Dec},
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pages={477}
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}
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// algorithms for generalization, not reaching satisfactory results
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@inproceedings{monmonier1986toward,
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title={Toward a practicable model of cartographic generalisation.},
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author={Monmonier, Mark},
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booktitle={Auto Carto London. Proc. conference, 1986. Vol. 2},
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pages={257--266},
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year={1986},
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organization={distributed Royal Institution of Chartered Surveyors}
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}
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@inproceedings{mcmaster1993spatial,
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title={A spatial-object level organization of transformations for cartographic generalization},
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author={McMaster, RB and Barnett, Leone},
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booktitle={AUTOCARTO-CONFERENCE-},
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pages={386--386},
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year={1993},
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organization={Citeseer}
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}
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@inproceedings{jiang2003line,
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title={Line simplification using self-organizing maps},
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author={Jiang, Bin and Nakos, Byron},
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booktitle={Proceedings of the ISPRS Workshop on Spatial Analysis and Decision Making, Hong Kong, China},
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pages={3--5},
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year={2003}
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}
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@article{dyken2009simultaneous,
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title={Simultaneous curve simplification},
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author={Dyken, Christopher and D{\ae}hlen, Morten and Sevaldrud, Thomas},
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journal={Journal of geographical systems},
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volume={11},
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number={3},
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pages={273--289},
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year={2009},
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publisher={Springer}
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}
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@article{mustafa2006dynamic,
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title={Dynamic simplification and visualization of large maps},
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author={Mustafa, Nabil and Krishnan, Shankar and Varadhan, Gokul and Venkatasubramanian, Suresh},
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journal={International Journal of Geographical Information Science},
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volume={20},
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number={3},
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pages={273--302},
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year={2006},
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publisher={Taylor \& Francis}
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}
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@article{nollenburg2008morphing,
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title={Morphing polylines: A step towards continuous generalization},
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author={N{\"o}llenburg, Martin and Merrick, Damian and Wolff, Alexander and Benkert, Marc},
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journal={Computers, Environment and Urban Systems},
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volume={32},
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number={4},
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pages={248--260},
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year={2008},
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publisher={Elsevier}
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}
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@inproceedings{stanislawski2012automated,
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title={Automated metric assessment of line simplification in humid landscapes},
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author={Stanislawski, Lawrence V and Raposo, Paulo and Howard, Michael and Buttenfield, Barbara P},
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booktitle={Proceedings of the AutoCarto},
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year={2012}
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}
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@ -46,12 +46,19 @@ Cartographic generalization is one of the key processes of creating large-scale
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maps: how can one approximate object features, without losing its main
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cartographic properties?
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Linear generalization algorithms are well studied, tested and implemented.
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Generalization algorithms are well studied, tested and implemented, but they
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expose deficiencies in large-scale reduction (\cite{monmonier1986toward},
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\cite{mcmaster1993spatial}, \cite{jiang2003line}, \cite{dyken2009simultaneous},
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\cite{mustafa2006dynamic}, \cite{nollenburg2008morphing}).
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There are two main approaches to generalize lines in a map: geometric and
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cartographic.
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\subsection{
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\cite{stanislawski2012automated} studied different types of metric assessments,
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such as Hausdorff distance, segment length, vector shift, surface displacement,
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and tortuosity for the generalization of linear geographic elements. Their
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research can provide references to the appropriate settings of the line
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generalization parameters for the maps at various scales.
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\section{The Problem}
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\label{sec:the_problem}
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