listings
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@ -17,18 +17,24 @@ GEN2 = $(addsuffix .pdf, \
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mj-referatas.pdf: mj-referatas.tex version.tex bib.bib zeimena.pdf \
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sinewave1.pdf sinewave2.pdf crossing.pdf $(GEN1) $(GEN2)
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latexmk -g -pdf $<
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latexmk -shell-escape -g -pdf $<
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define algo2img
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db/.faux_$(1)-$(2)-%: $(2).sql db/.faux_ready
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./managedb -- --echo-all -v ON_ERROR_STOP=1 -v src=$(1) -v tolerance=$$* -v tbl=$(1)_$(2)_$$* -f $(2).sql
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./managedb -- --echo-all \
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-v ON_ERROR_STOP=1 \
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-v src=$(1) \
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-v tolerance=$$* \
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-v tbl=$(1)_$(2)_$$* \
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-f $(2).sql
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touch $$@
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$(1)-$(2)-%.pdf: layer2img.py db/.faux_$(1)-$(2)-%
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./layer2img.py --group2-table=$(1)_$(2)_$$* --size=$(3) --outfile $$@
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endef
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define algo2overlay
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overlaid-$(1)-$(2)-%.pdf: layer2img.py db/.faux_$(1)-$(2)-%
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./layer2img.py $(3) --group1-table=$(1) --group2-table=$(1)_$(2)_$$* --outfile $$@
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./layer2img.py $(3) --group1-table=$(1) --group2-table=$(1)_$(2)_$$* \
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--outfile $$@
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endef
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define gpkg2pdf
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$(1): $(2) ./layer2img.py
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@ -41,7 +47,8 @@ $(eval $(call algo2img,zeimena,douglas,210x297))
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$(eval $(call algo2img,zeimena,visvalingam,210x297))
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$(eval $(call gpkg2pdf,sinewave1.pdf,sinewave1.gpkg,--size=$(SINEWAVE_SIZE)))
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$(eval $(call gpkg2pdf,sinewave2.pdf,sinewave2.gpkg,--size=$(SINEWAVE_SIZE)))
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$(eval $(call gpkg2pdf,zeimena.pdf,zeimena.gpkg rectangle.gpkg,--size=134x191 --group2-infile rectangle.gpkg))
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$(eval $(call gpkg2pdf,zeimena.pdf,zeimena.gpkg rectangle.gpkg,\
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--size=134x191 --group2-infile rectangle.gpkg))
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$(eval $(call gpkg2pdf,crossing.pdf,zeimena.gpkg,--size=105x74 --clip $(CROSSING)))
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$(eval $(call algo2overlay,zeimena,douglas,--size 148x105 --clip $(CROSSING)))
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$(eval $(call algo2overlay,zeimena,visvalingam,--size 148x105 --clip $(CROSSING)))
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@ -23,6 +23,7 @@
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\usepackage{tabularx}
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\usepackage{float}
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\usepackage{tikz}
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\usepackage{minted}
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\usetikzlibrary{er,positioning}
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\input{version}
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@ -385,18 +386,49 @@ As noted in parameter~\ref{itm:2} on page~\pageref{itm:2}, it would be useful
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to have a formula mapping {\DP} tolerance to {\VW}. That way, visual
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comparisons between line simplification algorithms could be more objective.
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\printbibliography
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\iffalse
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may enable this before publishing
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\begin{appendices}
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\section{Žeimena and Lakaja in context}
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\begin{figure}[H]
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\centering
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\includegraphics[width=148mm]{zeimena-pretty}
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\caption{Lakaja and Žeimena river in context}
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\end{figure}
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\end{appendices}
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\fi
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\section{Code listings}
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For the curious users it may be useful to see how the analysis was executed.
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Also, given the source listings, it should be relatively straightforward to
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re-run the same analysis on a different area.
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\subsection{douglas.sql}
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Transforms a layer ({\tt :src}) to {\DP} using $tolerance$ tolerance.
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\inputminted[fontsize=\small]{sql}{douglas.sql}
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\subsection{visvalingam.sql}
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Transforms a layer ({\tt :src}) to {\VW} using $tolerance^2$ tolerance.
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\inputminted[fontsize=\small]{sql}{visvalingam.sql}
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\subsection{fig2layer.py}
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Creates figures (square, sine wave) as geopackage files.
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\inputminted[fontsize=\small]{python}{fig2layer.py}
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\subsection{Makefile}
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This file binds all the pieces together:
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\begin{itemize}
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\item Prepares the PostGIS database.
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\item Generates helper figures (sine waves, squares).
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\item Runs analysis on input files ({\DP} and {\VW}).
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\item Invokes {\tt latexmk} as a final report generation step.
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\end{itemize}
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\inputminted[fontsize=\small]{make}{Makefile}
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\subsection{layer2img.py}
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This file accepts a layer (or two) and generates a PDF image suitable for embedding into the report.
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\inputminted[fontsize=\small]{python}{layer2img.py}
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\end{appendices}
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\end{document}
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