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.
The purpose of this study is to identify the characteristic features of the process in which the tourism industry of St. Petersburg is becoming more popular due to the spread of middle-class apartments. The article considers the problems of the tourism industry associated with the consequences of the pandemic, as well as with the political and economic pressure of other countries. Possible solutions are proposed due to concessional lending for the construction of hotels and apart-hotels. As a result, the reasons why apartments are in high demand in the Russian Federation were revealed. We believe that the analysis carried out indicates the expediency of investing in the construction of apartments and bringing the lease into an official type of activity. In the future, this will lead to an increase in the quality of service to tourists, an increase in the level of satisfaction and an increase in the income of the industry. It is also necessary to introduce concessional lending programs, which in the long term will lead to the stimulation of the tourism industry, as well as related industries, including construction. The latter, in turn, is a driver of economic processes taking place in the Russian Federation.
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