|
Lina Papšienė, Julius Donatas Budrevičius, Marius Marma
The Automated Update of Cartographic Data at a Scale of 1:50,000 in Lithuania: Problems and Solutions
| Conference Information: |
9th International Conference “Environmental Engineering”, 22–23 May 2014, Vilnius, LITHUANIA |
| Source: |
ICEE-2014 - International Conference on Environmental
Engineering |
| Book Series: |
International Conference on Environmental Engineering
(ICEE) Selected papers |
| ISSN: |
eISSN 2029-7092 online |
| ISBN: |
eISBN 978-609-457-640-9 |
| ISBN: |
ISBN 978-609-457-690-4 CD |
| Year: |
2014 |
| Publisher: |
Vilnius Gediminas Technical University Press Technika |
View full text in PDF format
Abstract
The data of the cartographic base at a smaller scale are updated by using spatial objects at a larger scale.
However, this process in Lithuania is still mostly manual, only partially automated and following generalisation
parameters that are usually selected subjectively. The success of several projects on the automated update of the
spatial data at smaller scales implemented by national mapping agencies in other countries opened the way for the
pilot project in Lithuania in 2013. The main goal of the project was to investigate the possibilities for the process
of updating data of the cartographic base at a scale of 1:50,000 in Lithuania with the help of the automated
generalisation of spatial data at a scale of 1:10,000. The above mentioned spatial data usually had only
abstract specifications regardless of the interoperability of the data or possibilities for the optimisation of
update processes between the data at different scales. Therefore the differences of semantics, attributes and
representations were detected during the analysis of the spatial data at different scales. That made the full
automation of the update process more complicated. However it is important to make the compatibility of the
spatial data at different scales as soon as possible to simplify the process and reduce the usage of resources.
The authors analyse the possibilities of the update of cartographic base at a scale of 1:50,000 and provide
recommendations for the automation of this process. The proposed solutions of the detected problems are dedicated
for the spatial data of the cartographic base in Lithuania due to the fact that the mentioned data may carry the
specific character. The solutions were implemented using of ArcGIS software and tested on real spatial data sets.
Therefore the presented ideas how to solve the problems may be applicable for generalisation of others spatial data sets.
Keywords: cartographic data; model generalisation; automated update; model; ArcGIS.
|
