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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}
@ -100,6 +101,16 @@
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.
\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} \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