%0 Book Section %1 podolskaya2007 %A Podolskaya, E. S. %A Anders, K.-H. %A Haunert, J.-H. %A Sester, M. %B Quality Aspects in Spatial Data Mining %D 2007 %I CRC Press, Boca Raton, USA %K map_generalization quality myown %P 211--220 %T Quality assessment for polygon generalization %X Different methods for map generalization have been developed. However, there are only a few publications that discuss the automatic quality assessment of generalized maps. This problem becomes crucial when the usefulness of a map has to be evaluated or different methods need to be compared, e.g. to find the best algorithm for a specific application. In this paper we present a new approach for the quality assessment of generalized polygons. In particular the simplification of buildings and the generalization of polygons that represent land use in a topographic database are discussed. Our approach distinguishes between two aims of generalization: Reducing the amount of data and keeping the map similar to the input map. A measure of quality that defines a compromise between these conflicting objectives is introduced. The proposed method was tested for a German cadastral data set and the official German topographic database ATKIS. %& 16

@incollection{podolskaya2007, abstract = {Different methods for map generalization have been developed. However, there are only a few publications that discuss the automatic quality assessment of generalized maps. This problem becomes crucial when the usefulness of a map has to be evaluated or different methods need to be compared, e.g. to find the best algorithm for a specific application. In this paper we present a new approach for the quality assessment of generalized polygons. In particular the simplification of buildings and the generalization of polygons that represent land use in a topographic database are discussed. Our approach distinguishes between two aims of generalization: Reducing the amount of data and keeping the map similar to the input map. A measure of quality that defines a compromise between these conflicting objectives is introduced. The proposed method was tested for a German cadastral data set and the official German topographic database ATKIS.}, added-at = {2011-11-07T12:01:06.000+0100}, author = {Podolskaya, E. S. and Anders, K.-H. and Haunert, J.-H. and Sester, M.}, biburl = {https://www.bibsonomy.org/bibtex/230c669e2b0cf31b676654a37dd8fe865/haunert}, booktitle = {Quality Aspects in Spatial Data Mining}, chapter = 16, interhash = {c696657d247660bf7de12c2c77124375}, intrahash = {30c669e2b0cf31b676654a37dd8fe865}, keywords = {map_generalization quality myown}, pages = {211--220}, pdf = {http://www1.informatik.uni-wuerzburg.de/pub/haunert/pdf/PodolskayaEtAl2007.pdf}, publisher = {CRC Press, Boca Raton, USA}, timestamp = {2011-11-07T12:01:06.000+0100}, title = {Quality assessment for polygon generalization}, year = 2007 }