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Motiejus Jakštys 2020-05-21 14:21:15 +03:00
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@ -23,3 +23,64 @@
month={Dec}, month={Dec},
pages={477} pages={477}
} }
// algorithms for generalization, not reaching satisfactory results
@inproceedings{monmonier1986toward,
title={Toward a practicable model of cartographic generalisation.},
author={Monmonier, Mark},
booktitle={Auto Carto London. Proc. conference, 1986. Vol. 2},
pages={257--266},
year={1986},
organization={distributed Royal Institution of Chartered Surveyors}
}
@inproceedings{mcmaster1993spatial,
title={A spatial-object level organization of transformations for cartographic generalization},
author={McMaster, RB and Barnett, Leone},
booktitle={AUTOCARTO-CONFERENCE-},
pages={386--386},
year={1993},
organization={Citeseer}
}
@inproceedings{jiang2003line,
title={Line simplification using self-organizing maps},
author={Jiang, Bin and Nakos, Byron},
booktitle={Proceedings of the ISPRS Workshop on Spatial Analysis and Decision Making, Hong Kong, China},
pages={3--5},
year={2003}
}
@article{dyken2009simultaneous,
title={Simultaneous curve simplification},
author={Dyken, Christopher and D{\ae}hlen, Morten and Sevaldrud, Thomas},
journal={Journal of geographical systems},
volume={11},
number={3},
pages={273--289},
year={2009},
publisher={Springer}
}
@article{mustafa2006dynamic,
title={Dynamic simplification and visualization of large maps},
author={Mustafa, Nabil and Krishnan, Shankar and Varadhan, Gokul and Venkatasubramanian, Suresh},
journal={International Journal of Geographical Information Science},
volume={20},
number={3},
pages={273--302},
year={2006},
publisher={Taylor \& Francis}
}
@article{nollenburg2008morphing,
title={Morphing polylines: A step towards continuous generalization},
author={N{\"o}llenburg, Martin and Merrick, Damian and Wolff, Alexander and Benkert, Marc},
journal={Computers, Environment and Urban Systems},
volume={32},
number={4},
pages={248--260},
year={2008},
publisher={Elsevier}
}
@inproceedings{stanislawski2012automated,
title={Automated metric assessment of line simplification in humid landscapes},
author={Stanislawski, Lawrence V and Raposo, Paulo and Howard, Michael and Buttenfield, Barbara P},
booktitle={Proceedings of the AutoCarto},
year={2012}
}

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@ -46,12 +46,19 @@ Cartographic generalization is one of the key processes of creating large-scale
maps: how can one approximate object features, without losing its main maps: how can one approximate object features, without losing its main
cartographic properties? cartographic properties?
Linear generalization algorithms are well studied, tested and implemented. Generalization algorithms are well studied, tested and implemented, but they
expose deficiencies in large-scale reduction (\cite{monmonier1986toward},
\cite{mcmaster1993spatial}, \cite{jiang2003line}, \cite{dyken2009simultaneous},
\cite{mustafa2006dynamic}, \cite{nollenburg2008morphing}).
There are two main approaches to generalize lines in a map: geometric and There are two main approaches to generalize lines in a map: geometric and
cartographic. cartographic.
\subsection{ \cite{stanislawski2012automated} studied different types of metric assessments,
such as Hausdorff distance, segment length, vector shift, surface displacement,
and tortuosity for the generalization of linear geographic elements. Their
research can provide references to the appropriate settings of the line
generalization parameters for the maps at various scales.
\section{The Problem} \section{The Problem}
\label{sec:the_problem} \label{sec:the_problem}