DBPapers
DOI:10.5593/SGEM2013/BB2.V1/S11.007

CHALLENGES OF AUTOMATED PROCESSES OF UPDATE OF REFERENCE SPATIAL DATA AT A SCALE OF 1:50,000 IN LITHUANIA

L. Papsiene
Monday 5 August 2013 by Libadmin2013

References: 13th SGEM GeoConference on Informatics, Geoinformatics And Remote Sensing, www.sgem.org, SGEM2013 Conference Proceedings, ISBN 978-954-91818-9-0 / ISSN 1314-2704, June 16-22, 2013, Vol. 1, 661 - 668 pp

ABSTRACT

Reference spatial data represent natural (the land cover, water bodies, etc.) and anthropogenic (buildings, roads, etc.) objects of the landscape. The least changing real world objects are stored in state reference spatial data sets at scales of 1:10,000, 1:50,000 and 1:250,000 in Lithuania. The smaller scale spatial objects are, as a rule, updated by using spatial objects at a larger scale. However these reference spatial data sets of different scales are updated independently from each other in Lithuania. The processes of updating reference spatial data sets at the smaller scales are mostly manual and only partially automatic. There are no relationships between the spatial objects in state reference spatial data sets of different scales at present. This makes the update of the reference spatial data sets at the smaller scales a complex and costly task. Therefore the mentioned problems initiated the research of the possible automated update of the state reference spatial data sets at a scale of 1:50,000 by using the spatial objects at a scale of 1:10,000 in Lithuania. The simplest GIS task is manual collecting and updating of spatial objects. Contemporary GIS provide powerful tools for the automation of these processes as well. In order to effectively carry out the works, it is recommended to use automatic procedures of generalisation as much as possible. The proper selection of usable functions of generalisation and the modelling of a consistent automatic workflow of the update were the key tasks of the current research. To efficiently carry out the work in the future the author presents the possibilities to update spatial objects only in the cases when related spatial objects at a scale of 1:10,000 are changed. The paper describes the results of the research, which include the conceptual model of the automated update of the state reference spatial data set at a scale of 1:50,000 based on state reference spatial data sets at a scale of 1:10,000.

Keywords: automated update, generalisation, conceptual model, spatial object, Lithuanian reference spatial data sets, topographic data, 1:50,000, GIS.

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