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mj-msc.tex
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mj-msc.tex
@ -160,7 +160,8 @@ different trade-offs.
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\section{Literature Review and Problematic}
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\section{Literature Review and Problematic}
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\label{sec:literature-review-problematic}
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\label{sec:literature-review-problematic}
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\subsection{Simplification, Cartographic Simplification and Generalization}
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\subsection{From Simplification to Generalization}
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\label{sec:from-simplification-to-generalization}
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It is important to note the distinction between simplification, line
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It is important to note the distinction between simplification, line
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generalization and cartographic generalization.
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generalization and cartographic generalization.
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@ -173,65 +174,47 @@ but lose some shapes that define it. For example:
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\begin{itemize}
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\begin{itemize}
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\item Low-water rivers in slender slopes have many small bends next to each
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\item Low-water rivers in slender slopes have many small bends next to each
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other. A non-cartographic line simplification may remove all of them, thus
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other. A non-cartographic line simplification may remove all of them,
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losing an important river's characteristic feature.
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thus losing an important river's characteristic feature: after such
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simplification, it will be hard to tell that the original river was
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low-water in a slender slope.
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\item Insignificant river bend river over a long distance differs
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\item Low-angle river bend river over a long distance differs significantly
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significantly from a completely straight canal. Non-cartographic line
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from a completely straight canal. Non-cartographic line simplification
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simplification may replace a long and small bend with a straight line,
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may replace a that bend with a straight line, making the river more
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making the river more similar to a canal than a river.
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similar to a canal than a river.
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\end{itemize}
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\end{itemize}
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In other words, simplification simplifies the line ignoring its cartographic
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In other words, simplification processes the line ignoring its geographic
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features. It is works well when the features are man-made (e.g., roads,
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features. It is works well when the features are man-made (e.g., roads,
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administrative boundaries, buildings)
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administrative boundaries, buildings). There is a number of freely available
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non-cartographic line simplification algorithms, which this paper will review.
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Contrary to line simplification, Cartographic Generalization does not focus
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into a single feature class (e.g., rivers), but the whole map. For example,
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line simplification may change river bends in a way that bridges (and roads to
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the bridges) become misplaced. While line simplification is limited to a single
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feature class, cartographic generalization is not. Fully automatic cartographic
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generalization is not yet a solved problem <TODO: Reference needed>.
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Line simplification solves a
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Cartographic line generalization falls in between the two: it does more than
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line simplification, and less than cartographic generalization. Cartographic
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Simplification is most frequently used when the topology
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line generalization deals with a single feature class, but takes into account
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mismatches are invisible or not a concern (huge scale maps), or when creating,
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its geographic properties. This paper examines {\WM}'s
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for example, river-only maps.
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\titlecite{wang1998line}, a cartographic line generalization algorithm.
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Conversely, cartographic generalization takes into account the surrounding
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object's topology. That way, when a river is generalized, objects around it are
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generalized with it. Keeping the river as an example:
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\begin{itemize}
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\item "Minor" bridges will be removed. Important bridges will be generalized
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together with the river and remain on the river. Roads or railways that
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cross the bridge will be generalized together, and will make sense (a
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railway will be relatively straight when crossing the river).
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\item Towns will either disappear (if they are too small for the given
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scale), or retain in the correct river side.
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\end{itemize}
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"Cartographic Line Generalization" is in the middle: it accepts
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In essence, cartographic generalization cannot be done in isolation. However,
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full automatic feature generalization is not yet a solved problem <TODO:
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Reference needed>. This paper examines {\WM}'s \titlecite{wang1998line}, which
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has "generalization" in its title, but is a simplification following the rules
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above.
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A number of cartographic line generalization algorithms have been researched.
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The "classical" ones are {\DP}\cite{douglas1973algorithms} and
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{\VW}\cite{visvalingam1993line} in combination with
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Chaikin's\cite{chaikin1974algorithm}.
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This section reviews the classical ones, which, besides being around for a long
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time, offer easily accessible implementations, as well as more modern ones,
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which only theorize, but do not provide an implementation.
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\subsection{Available algorithms}
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\subsection{Available algorithms}
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This section reviews the classical line simplification algorithms, which,
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besides being around for a long time, offer easily accessible implementations,
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as well as more modern ones, which only theorize, but do not provide an
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implementation.
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\subsection{Simplification requirements}
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\subsection{Simplification requirements}
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\subsubsection{{\DP}, {\VW} and Chaikin's}
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\subsubsection{{\DP}, {\VW} and Chaikin's}
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\label{sec:dp-vw-chaikin}
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{\DP}\cite{douglas1973algorithms} and {\VW}\cite{visvalingam1993line} are
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{\DP}\cite{douglas1973algorithms} and {\VW}\cite{visvalingam1993line} are
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"classical" line simplification computer graphics algorithms. They are
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"classical" line simplification computer graphics algorithms. They are
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@ -253,11 +236,11 @@ line smoothing algorithm\cite{chaikin1974algorithm} via
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\href{https://postgis.net/docs/ST_ChaikinSmoothing.html}{PostGIS
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\href{https://postgis.net/docs/ST_ChaikinSmoothing.html}{PostGIS
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\texttt{ST\_ChaikinSmoothing}}.
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\texttt{ST\_ChaikinSmoothing}}.
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To use in generalization examples, we will use two rivers: Šalčia and Visinčia
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To use in generalization examples, we will use two rivers: Šalčia and Visinčia.
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(Visinčia flows into Šalčia). These rivers were chosen, because they have both
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These rivers were chosen, because they have both large and small bends, and
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large and small bends, and thus convenient to analyze for both small and large
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thus convenient to analyze for both small and large scale generalization.
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scale generalization. Figure~\ref{fig:salvis-25} illustrates the original two
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Figure~\onpage{fig:salvis-25} illustrates the original two rivers without any
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rivers without any simplification.
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simplification.
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\begin{figure}[h]
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\begin{figure}[h]
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\centering
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\centering
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@ -433,6 +416,36 @@ wider cartographic society than proprietary ones.
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\subsection{Problematic with generalization of rivers}
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\subsection{Problematic with generalization of rivers}
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Section~\ref{sec:dp-vw-chaikin} illustrates the current gaps with Line
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Simplification algorithms for real rivers. To sum up, we highlight the
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following cartographic problems from our examples:
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\begin{description}
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\item[Long bends] should remain as long bends, instead of become fully
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straight lines.
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\item[Many small bends] should not be removed. To retain river's character,
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the algorithm should retain some small bends, and, when they are too
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small to be visible, should be combined or exaggerated.
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\end{description}
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Like discussed in section~\label{sec:from-simplification-to-generalization}, we
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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~\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}[h]
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\includegraphics[width=\textwidth]{wang125}
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\caption{Originally Figure 12.5 from \titlecite{wang1998line}}
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\label{fig:wang125}
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\end{figure}
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\section{Methodology}
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\section{Methodology}
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\label{sec:methodology}
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\label{sec:methodology}
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