63 lines
1.4 KiB
TeX
63 lines
1.4 KiB
TeX
\documentclass{article}
|
|
|
|
\usepackage[L7x,T1]{fontenc}
|
|
\usepackage[utf8]{inputenc}
|
|
\usepackage{csquotes}
|
|
\usepackage[english]{babel}
|
|
\usepackage[maxbibnames=99,style=authoryear]{biblatex}
|
|
\addbibresource{bib.bib}
|
|
\usepackage{hyperref}
|
|
\usepackage{caption}
|
|
\usepackage{subcaption}
|
|
\usepackage{gensymb}
|
|
\usepackage{varwidth}
|
|
\usepackage{tikz}
|
|
\usetikzlibrary{er,positioning}
|
|
|
|
\title{
|
|
Cartografic Generalization of Lines \\
|
|
(example of rivers) \\ \vspace{4mm}
|
|
}
|
|
|
|
\author{Motiejus Jakštys}
|
|
|
|
\date{\today}
|
|
|
|
\begin{document}
|
|
\maketitle
|
|
|
|
\newpage
|
|
|
|
\section{Abstract}
|
|
\label{sec:abstract}
|
|
|
|
Ready-to-use, open-source line generalization solutions emit poor cartographic
|
|
output. Therefore, if one is using open-source technology to create a
|
|
large-scale map, downscaled lines (e.g. rivers) will look poorly. This paper
|
|
explores line generalization algorithms and suggests to implement an algorithm
|
|
for an avid GIS developer. Once the algorithm is implemented and integrated to
|
|
open-source GIS solutions (e.g. QGIS), rivers on future large-scale maps will
|
|
look professionally downscaled.
|
|
|
|
\section{Introduction}
|
|
\label{sec:introduction}
|
|
|
|
\section{The Problem}
|
|
\label{sec:the_problem}
|
|
|
|
\section{My Idea}
|
|
\label{sec:my_idea}
|
|
|
|
\section{The Details}
|
|
\label{sec:the_details}
|
|
|
|
\section{Related Work}
|
|
\label{sec:related_work}
|
|
|
|
\section{Conclusions and Further Work}
|
|
\label{sec:conclusions_and_further_work}
|
|
|
|
\printbibliography
|
|
|
|
\end{document}
|