smaller žeimena
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@ -31,7 +31,7 @@ $(eval $(call algo2img,sinewave,visvalingam,30x12))
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$(eval $(call algo2img,zeimena,douglas,52x74))
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$(eval $(call algo2img,zeimena,visvalingam,52x74))
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$(eval $(call gpkg2pdf,sinewave.pdf,sinewave.gpkg,,--size=52x12))
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$(eval $(call gpkg2pdf,zeimena.pdf,zeimena.gpkg rectangle.gpkg,--size=135x191 --overlay-infile rectangle.gpkg))
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$(eval $(call gpkg2pdf,zeimena.pdf,zeimena.gpkg rectangle.gpkg,--size=67x95 --overlay-infile rectangle.gpkg))
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$(eval $(call gpkg2pdf,crossing.pdf,zeimena.gpkg,--size=105x74 --clip $(CROSSING)))
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sinewave.gpkg: fig2layer.py
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@ -161,10 +161,10 @@ Since the map area is large (approx. 20km by 28km, scale $1:150 000$), we will
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also review a subset of the area of approx 2200m by 1575m. The zoomed-in
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version will help explain some of the deficiencies in the reviewed algorithms.
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\begin{figure}[H]
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\begin{figure}[h]
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\centering
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\includegraphics[width=135mm]{zeimena}
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\caption{Lakaja and Žeimena, $1:150000$}
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\includegraphics[width=67.5mm]{zeimena}
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\caption{Lakaja and Žeimena, $1:300000$}
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\label{fig:zeimena}
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\end{figure}
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