The SOLUTION OF ISSUE THE QUALITY SELECTION OF SETTLEMENTS FOR AUTOMATED SMALL-SCALE MAPPING
ISBN 978-85-88783-11-9
Authors
1Zagrebin, G.; 2Afanasyev, A.
1MOSCOW STATE UNIVERSITY OF GEODESY AND CARTOGRAPHY Email: gleb@cartlab.ru
2MOSCOW STATE UNIVERSITY OF GEODESY AND CARTOGRAPHY Email: afanasyev@cartlab.ru
Abstract
As we know, the process of cartographic generalization is one of the most complicated and fundamental in cartography. The generalization consists of the processes of generalizing and selection. The selection consists of the quantitative and qualitative. The work devoted to solving the problem of the qualitative selection of settlements in automated cartographic generalization. We attempt to formalize the signs on which the cartographer can tell about the importance of the settlements, and to form and approve the concept of mechanism of ranking in importance settlements for any territory of the world. Thats why was choosen such the source data which could be as objective as possible and readily accessible to the entire territory of the world. The ranking expected to produce on the basis of the code of the significance, which is based on a multilevel logical graph. The main factors of significance the settlements in this paper are political-administrative value, the number of inhabitants, the type of settlements, transport importance of settlements, the correlation between other cartographic elements on the map, economic importance, development of social infrastructure, historical and cultural significance of the settlements. There are developed the gradations (within each level of the multilevel graph) and a set of the criteria that allow us to classify town to varying gradations for each factor. It is necessary to note that this work is a part of ongoing work in Scientific and Educational center of geoinformation mapping (cartlab.ru) on the creation of the automated system for making small-scale maps what is based on the cartographic database, existing regulations and long experience of cartographers. (The work is carried out in the framework of the grant of the President of the Russian Federation for the state support of young Russian scientists МК-301.2014.5 )
Keywords
generalization; GIS; multi-scale map