期刊名称：Archiwum Fotogrametrii, Kartografii i Teledetekcji
印刷版ISSN：2083-2214
出版年度：2009
卷号：19
语种：English
出版社：Main Board of Association of Polish Surveyors
摘要：The automation problem of spatial data generalization is widely considered in a literature from both theoretical and practical perspective. Numerous scientific centers as well as commercial enterprises have been involved in researches aimed on a full automation of generalization process however,until now such works were only partially successful. Nowadays,the most advanced system for automatic generalization of maps and spatial data is Clarity by 1Spatial. Such environment was discovered in the result of researches conducted within European project ‘AGENT’. The prototype of the above mentioned system were performed within years 1997 – 2000 by: National Geographical Institute both with Geographical Institute of the Polytechnic in Grenoble (France), University of Edinburgh,University of Zurich and commercial company 1Spatial from the United Kingdom. In many countries (ex. France,Denmark or in the UK) the Clarity software has been used in a production of topographic maps. The main purpose of the researches presented in the paper is defining possibilities and limitations of automation of spatial data generalization in the above mentioned software. Furthermore, there was also presented a proposition of modifying the system by adding new tools for spatial analyses both with new generalization algorithms. The basic assumption was to create a set of generalization steps in form of cartographical knowledge base which is crucial for methodical principles of the process. The scope of conducted researches covers generalization of roads network and a settlement in the General Geographic Database (GGD) from the scales of 1:250 000 to minor scales. In the article an approach has been proposed defined as sequences of generalization procedures and their implementation in the Clarity environment. To achieve this aim many available functions as well as new self-developed tools for spatial analysis (developed in Java programming language) were used. Such new tools make it possible to obtain significantly improved results - more correct from the cartographical point of view. Verification of such approach in the presented software leads to the following conclusions: - In the Clarity system - which is an open environment - it is possible to create selfdeveloped generalization algorithms and tools. It is also possible to check the generalization process in a more efficient way as well as its adjusting to demands of a spatial small-scale data generalization. - Discovering of a new tool (so called ‘link in source database’) made it possible to enrich the database’s structure by combining together two generalized thematic layers (road networks and settlement) and – in the consequence – to obtain more coherent and correct results of the generalization. - The use of cluster settlements and action polygon erode tools made it possible to get more correct aggregation effect of some settlements presented as contours comparing to the previous researches. The presented researches made it possible to define the possibilities and limitations of selected GGD elements,describing a level of usefulness of the Clarity system for small-scale generalization and finally,to collect sets of generalization procedures in the form of a cartographic knowledge base. It can be considered as the elements of methodical principles of the process.
其他摘要：Zagadnieniu automatyzacji generalizacji danych przestrzennych poświęcono wiele miejsca w literaturze,analizując jego teoretyczne oraz praktyczne aspekty. W wielu instytucjach naukowych oraz komercyjnych prowadzone są badania zmierzające do pełnej automaty
关键词：generalization of spatial data;General Geographic Datadase;Clarity environment
其他关键词：generalizacja danych przestrzennych;Baza Danych Ogólnogeograficznych; środowisko Clarity
