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II/Referatas/mj-referatas.tex

@@ -34,14 +34,25 @@
 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.
+explores line generalization algorithms and suggests one for an avid GIS
+developer to implement. Once it 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}
 
+Cartographic generalization is one of the key processes of creating large-scale
+maps: how can one approximate object features, without losing its main
+cartographic properties?
+
+Linear generalization algorithms are well studied, tested and implemented.
+
+There are two main approaches to generalize lines in a map: geometric and
+cartographic.
+
+\subsection{
+
 \section{The Problem}
 \label{sec:the_problem}