diff --git a/II/Referatas/bib.bib b/II/Referatas/bib.bib index 5424640..8c9b383 100644 --- a/II/Referatas/bib.bib +++ b/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} +} diff --git a/II/Referatas/mj-referatas.tex b/II/Referatas/mj-referatas.tex index b54676e..ec24a23 100644 --- a/II/Referatas/mj-referatas.tex +++ b/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}