more sources

II/Referatas/bib.bib

@@ -8,3 +8,18 @@
   year={1998},
   publisher={Taylor \& Francis}
 }
+
+@article{Kolanowski_2018,
+    title={Cartographic Line Generalization Based on Radius of Curvature Analysis},
+    volume={7},
+    ISSN={2220-9964},
+    url={http://dx.doi.org/10.3390/ijgi7120477},
+    DOI={10.3390/ijgi7120477},
+    number={12},
+    journal={ISPRS International Journal of Geo-Information},
+    publisher={MDPI AG},
+    author={Kolanowski, Bogdan and Augustyniak, Jacek and Latos, Dorota},
+    year={2018},
+    month={Dec},
+    pages={477}
+}

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}