acknowledgments

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Motiejus Jakštys 2021-05-19 22:57:51 +03:00 committed by Motiejus Jakštys
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bib.bib
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@ -249,3 +249,14 @@
url={https://dev.openmap.lt/webgl/wm.html},
urldate={2021-05-15},
}
@article{devangleserrorbends,
author={Gökgöz, Türkay and Sen, Alper and Memduhoğlu, Abdulkadir and Hacar, Müslüm},
year={2015},
month={10},
pages={2185-2204},
title={A New Algorithm for Cartographic Simplification of Streams and Lakes Using Deviation Angles and Error Bands},
volume={4},
journal={ISPRS International Journal of Geo-Information},
doi={10.3390/ijgi4042185}
}

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