acknowledgments
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bib.bib
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bib.bib
@ -249,3 +249,14 @@
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url={https://dev.openmap.lt/webgl/wm.html},
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urldate={2021-05-15},
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}
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@article{devangleserrorbends,
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author={Gökgöz, Türkay and Sen, Alper and Memduhoğlu, Abdulkadir and Hacar, Müslüm},
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year={2015},
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month={10},
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pages={2185-2204},
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title={A New Algorithm for Cartographic Simplification of Streams and Lakes Using Deviation Angles and Error Bands},
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volume={4},
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journal={ISPRS International Journal of Geo-Information},
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doi={10.3390/ijgi4042185}
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}
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mj-msc.tex
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mj-msc.tex
@ -361,11 +361,6 @@ generalization algorithm is worthwhile for to look for.
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\subsubsection{Modern approaches}
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% TODO:
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% https://pdfs.semanticscholar.org/e80b/1c64345583eb8f7a6c53834d1d40852595d5.pdf
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% A New Algorithm for Cartographic Simplification of Streams and Lakes Using
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% Deviation Angles and Error Bands
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Due to their simplicity and ubiquity, {\DP} and {\VW} have been established as
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go-to algorithms for line generalization. During recent years, alternatives
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have emerged. These modern replacements fall into roughly two categories:
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@ -379,7 +374,7 @@ have emerged. These modern replacements fall into roughly two categories:
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\item Mathematical shape transformation which yields a more cartographic
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result. E.g., \titlecite{jiang2003line},
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\titlecite{dyken2009simultaneous}, \titlecite{mustafa2006dynamic},
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\titlecite{nollenburg2008morphing}.
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\titlecite{nollenburg2008morphing}, \titlecite{devangleserrorbends}.
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\end{itemize}
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@ -1364,6 +1359,7 @@ isolated bends are exaggerated, and some small bends are removed.
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% TODO: GDR50LT and GDR250LT
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\subsection{Testing results online}
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\label{sec:testing-results-online}
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An on-line tool\cite{openmapwm} has been developed to test incoming parameters
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to {\WM} algorithm. A user should select a river of interest, enter the
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@ -1398,6 +1394,20 @@ produces poorly simplified results for some geometries.
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% TODO: write after section~\ref{sec:conclusions} is complete.
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\section{Acknowledgments}
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\label{sec:acknowledgments}
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I would like to thank my thesis supervisor Andrius Balčiūnas for his help in
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formulating the requirements and providing early editorial feedback for the
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thesis.
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I am grateful to Tomas Straupis, who handed me the {\WM}\cite{wang1998line}
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paper in a warm pre-COVID summer evening. I got intrigued. He was also an early
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beta-tester of my implementation, and helped me understand where the initial
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algorithm descriptions were ambiguous.
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Many thanks to NŽT for providing the datasets with a very permissive license.
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\printbibliography
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\begin{appendices}
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