Titlebook: Description Approaches and Automated Generalization Algorithms for Groups of Map Objects; Haowen Yan Book 2019 Springer Nature Singapore P

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Description and Generalization of Point Clustering Features,evant concepts (Sect. 2.1) and illustrates the types of point clustering features on maps (Sect. 2.2), and analyzes the approaches for describing point clustering features (Sect. 2.3). After this, it presents and analyzes the existing algorithms (Sects. 2.4 and 2.5). Last, the chapter is ended by a

NATTY

Description and Generalization of Contour Lines,ea level. It is often just called a “contour”. Each contour is a closed curve (Veregin 1999, 2000; Cheung and Shi 2004). The difference in height or depth between successive contour lines is the contour interval. It generally becomes greater and greater when the map scale becomes less and less (Joao

幻想

吼叫

Description and Generalization of Continuous Areal Features,ving both length and width and appearing on maps as polygons (Yan et al. 2008). An example of areal phenomena is a lake, assuming that only its two-dimensional surface is concerned. Political units, such as countries, provinces/states and counties, can also fit this framework if they are represented

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neuron

Commodious

Limpid

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https://doi.org/10.1007/978-3-642-77386-0 and political regions on maps may gains that their distribution modes are different: lakes are shown as discrete polygons, while political regions are usually visualized using continuous polygons (Fig. 6.1).