address more andriub comments
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mj-msc.tex
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mj-msc.tex
@ -321,6 +321,13 @@ figure~\onpage{fig:salvis-generalized-chaikin-50k}.
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\label{fig:salvis-overlaid-generalized-chaikin-50k}
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\end{figure}
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\begin{figure}[b!]
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\centering
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\includegraphics[width=.9\textwidth]{amalgamate1}
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\caption{Narrow bends amalgamating into large unintelligible blobs.}
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\label{fig:pixel-amalgamation}
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\end{figure}
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The resulting simplified and smoothened example
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(figure~\onpage{fig:salvis-generalized-chaikin-50k}) yields a more
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aesthetically pleasing result, however, it obscures natural river features.
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@ -351,12 +358,6 @@ classical algorithms would remove these bends altogether. A cartographer would
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retain a few of those distinctive bends, but would increase the distance
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between the bends, remove some of the bends, or both.
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\begin{figure}[ht]
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\includegraphics[width=\textwidth]{amalgamate1}
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\caption{Narrow bends amalgamating into large unintelligible blobs.}
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\label{fig:pixel-amalgamation}
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\end{figure}
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For the reasons discussed in this section, the "classical" {\DP} and {\VW} are
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not well suited for natural river generalization, and a more robust line
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generalization algorithm is worthwhile for to look for.
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@ -385,8 +386,6 @@ have emerged. These modern replacements fall into roughly two categories:
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\end{itemize}
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% TODO: [Šioje vietoje turi būti WM algoritmo pristatymas su iliustracijomis. Turi būti bent minimalus, ne sakinio, paaiškinimas, kodėl algoritmas tinkamas kartografijai. Kodėl jis pasirinktas realizuoti - o čia ir Tomas ir aš buvome parašę email: išlaikant raiškius naturalių objektų kontūrus, generalizacijos rezultatas žemėlapyje geriau atspindi gamtinės aplinkos savybes, pvz. upių vingiuotumą, kuris gali atspindėti reljefo bei kitas paviršiaus savybes ir pan.]
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Authors of most of the aforementioned articles have implemented the
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generalization algorithm, at least to generate the illustrations in the
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articles. However, code is not available for evaluation with a desired data
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@ -395,6 +394,34 @@ set, much less for use as a basis for creating new maps. To author's knowledge,
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purchase of the commercial product suite, without a way to license the
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standalone algorithm.
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{\WM} algorithm was created by encoding professional cartographers' knowledge
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into a computer algorithm. It has a few main properties which make it
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especially suitable for generalization of natural linear features:
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\begin{itemize}
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\item Small bends are not always removed, but either combined (for example,
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3 bends into 2), exaggerated, or removed, depending on the neighboring
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bends.
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\item Long and gentle bends are not straightened, but kept as-is.
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\end{itemize}
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\begin{figure}[h]
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\centering
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\includegraphics[width=.8\textwidth]{wang125}
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\caption{Originally figure 12.5: cartographic line generalization example.}
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\label{fig:wang125}
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\end{figure}
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As a result of these properties, {\WM} algorithm retains the defining
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properties of the natural features; high-current rivers keep their appearance
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as such, instead of becoming canals; low-stream bendy rivers retain their
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frequent small bends.
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Figure~\ref{fig:wang125} (from the original \titlecite{wang1998line})
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illustrates the {\WM} algorithm (the figure labeled "proposed method").
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% TODO DONE: [Šioje vietoje turi būti WM algoritmo pristatymas su iliustracijomis. Turi būti bent minimalus, ne sakinio, paaiškinimas, kodėl algoritmas tinkamas kartografijai. Kodėl jis pasirinktas realizuoti - o čia ir Tomas ir aš buvome parašę email: išlaikant raiškius naturalių objektų kontūrus, generalizacijos rezultatas žemėlapyje geriau atspindi gamtinės aplinkos savybes, pvz. upių vingiuotumą, kuris gali atspindėti reljefo bei kitas paviršiaus savybes ir pan.]
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\subsection{Problematic with generalization of rivers}
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% DONE subscection: andriub: Į šį skyrių turi būti perkeltas tekstas iš From Simplification to Generalization ir mano pakomentuota dalis iš Modern approaches skyriaus.
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@ -495,19 +522,10 @@ We are limiting the problem to cartographic line generalization. That is, full
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cartographic generalization, which takes topology and other feature classes
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into account, is out of scope.
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Figure~\ref{fig:wang125} illustrates {\WM} algorithm from their original
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Figure~\onpage{fig:wang125} illustrates {\WM} algorithm from their original
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paper. Note how the long bends retain curvy, and how some small bends got
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exaggerated.
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\begin{figure}[ht]
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\centering
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\includegraphics[width=.8\textwidth]{wang125}
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\caption{Originally figure 12.5: cartographic line generalization example.}
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\label{fig:wang125}
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\end{figure}
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\section{Methodology}
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\label{sec:methodology}
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% andriub: Šio skyriaus poskyriai turėtų būti išdėstyti tokia tvarka:
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