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Buttenfield, B.P.: A rule for describing line feature geometry. In: B.P. Buttenfield R. McMaster (eds) Map generalization, Chapter 3, (1997), 150-171.

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Experiments with Learning Techniques for Spatial Model.. - Plazanet, Bigolin, Ruas   (Correct)

....work has mainly focused on the use of learning techniques for procedural knowledge acquisition. However, such experiments require the integration of knowledge on the geometrical characteristics of features [31] Previous studies on the qualification of the geometry of linear features such as [4] bring out geometrical knowledge in terms of quantitative measures. The use of learning techniques such as clustering makes it possible to provide complementary qualitative information. Both machine learning techniques and cartographic knowledge sources are used in order to acquire structured ....

....at a relatively high conceptual level. The result is a partial description of the process in simple rules but it is insufficient. A direct map analysis is an interesting method, since it is possible to evaluate the type and the degree of the modifications that apply to objects at different scales [4]. This method, called reverse engineering, tries to identify to guess which operations are being chosen to build the final product (for example, see [19] However, considering that generally the final product is the result of a sequence of complex operations, it is hard to identify with ....

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B. Buttenfield. A rule for describing line feature geometry. In B. Buttenfield and R. McMaster, editors, Map Generalization, chapter 3, pages 150--171. Harlow Essex England: Longman scientific, 1991.


Modeling Geometry for Linear Feature Generalization - Plazanet (1997)   (Correct)

....a coarser resolution. For cartographic generalization, this change in resolution is due to scale reduction, graphical limitations and symbolization while it is motivated by data reduction in the case of data generalization. So far, according to many studies such as: Beard, 91) McMaster, 89) Buttenfield, 91) the existing automated tools for linear feature generalization are not efficient enough because of: numerous constraints to take into account (see section 1.1) variations in the quality of their output according to the characteristics of the line; the subjective aspect of ....

....for shape generalization with respect to scale and shape environment. 1.2 Operations and Algorithms Many algorithms for linear feature generalization, especially line simplification have been developed such as the famous Douglas algorithm. So far, a lot of studies such as (Beard, 91) Jenks, 89) Buttenfield, 91) McMaster, 89) have shown how difficult it is to apply them to a variety of linear features. According to (Herbert et al., 92) the use of line simplification algorithms on a data set within an existing GIS can be a very uncertain process. Effectively, a user is forced into a position of ....

[Article contains additional citation context not shown here]

B.P. Buttenfield 1991 A rule for describing line feature geometry. In Map Generalization Chapter 3. p. 150-171. Buttenfield and McMaster Ed. Longman Scientific & Technical. London 1991


Measurement, Characterization And Classification For Automated.. - Plazanet   (Correct)

.... GENERALIZATION A lot of studies dealing with linear generalization have shown the lacks and limits of generalization algorithms, especially for simplification [Beard, 91] Herbert et al., 92] Jenks, 89] McMaster, 89] The quality of the result seems to vary according to the line characteristics [Buttenfield, 91] These studies have clearly revealed the need to describe f Fig. 1: The shape f is the same, but in some case the generalization decision won t be the same Case 1 Case 2 Manual 1:250000 generalization IGN BDCarto road and qualify linear features. Checking on the significant geometric ....

..... shapes or bends repetitions, intrinsic conflicts areas of the line. Fig. 2: An example of natural line segmentation (IGN BDCarto road) Trend line ORGANIZATION OF THE PROCESS Our approach is a hierarchical segmentation process analogous to Ballard strip trees and to the method proposed in [Buttenfield, 91] where series of measures are computed for each line. B. Buttenfield in [Buttenfield, 87] already proposed a very similar process for classification of cartographic lines also dealing with segmentation and measurement. Starting from the observation that a cartographic line is composed of a trend ....

B. Buttenfield. A rule for describing line feature geometry.In Map Generalization (B. Buttenfield & R. McMaster Eds) Part 3. P. 150-171 Ed. Longman Scientific & Technical. London 1991


Multiresolution compression and feature line.. - Patane, Pizzi, Spagnuolo (2001)   (Correct)

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Buttenfield, B.P.: A rule for describing line feature geometry. In: B.P. Buttenfield R. McMaster (eds) Map generalization, Chapter 3, (1997), 150-171.

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