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Motiejus Jakštys 2021-05-15 23:24:36 +03:00
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IV/mj-msc.tex
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@ -49,6 +49,7 @@
\newcommand{\VW}{Visvalingam--Whyatt} \newcommand{\VW}{Visvalingam--Whyatt}
\newcommand{\WM}{Wang--M{\"u}ller} \newcommand{\WM}{Wang--M{\"u}ller}
\newcommand{\WnM}{Wang and M{\"u}ller} \newcommand{\WnM}{Wang and M{\"u}ller}
\newcommand{\WirM}{Wang ir M{\"u}ller}
% {\WM} algoritmo realizacija kartografinei upių generalizacijai % {\WM} algoritmo realizacija kartografinei upių generalizacijai
\newcommand{\MYTITLE}{{\WM} algorithm realization for cartographic line generalization} \newcommand{\MYTITLE}{{\WM} algorithm realization for cartographic line generalization}
\newcommand{\MYTITLENOCAPS}{wang--m{\"u}ller algorithm realization for cartographic line generalization} \newcommand{\MYTITLENOCAPS}{wang--m{\"u}ller algorithm realization for cartographic line generalization}
@ -100,7 +101,17 @@
documented it in great detail. Our implementation makes {\WM} algorithm documented it in great detail. Our implementation makes {\WM} algorithm
freely available in PostGIS, and this paper explains it. freely available in PostGIS, and this paper explains it.
\end{abstract} \vfill
Šiuo metu prieinami linijų supaprastinimo algoritmai yra kilę iš
matematikos ir geometrijos, bei yra netinkami lankstiems geografiniams
objektams, tokiems kaip upės ir pakrantės. {\WirM} ištyrė, kaip kartografai
vykdo upių generalizaciją, ir sukūrė algoritmą. Mes realizavome šį
algoritmą ir išsamiai jį dokumentavome. Mūsų {\WM} realizacija ir
dokumentacija yra nemokami ir laisvai prieinami naudojant PostGIS
platformą.
\end{abstract}
\newpage \newpage
@ -1436,7 +1447,7 @@ leaving no space to exaggerate for those between the two. For the same reason,
the figure~\ref{fig:salvis-wm-50k} (of scale 1:\numprint{50000}) has many the figure~\ref{fig:salvis-wm-50k} (of scale 1:\numprint{50000}) has many
smaller bends at approximately the same location. smaller bends at approximately the same location.
\subsection{Comparison of Generalization Result with National Spatial Datasets} \subsection{Comparing Generalized Result with National Spatial Datasets}
% TODO: GDR50LT and GDR250LT % TODO: GDR50LT and GDR250LT