Abstract:This paper presents a methodology developed for a study to evaluate the state of the art of automated map generalization in commercial software without applying any customization. The objectives of this study are to learn more about generic and specific requirements for automated map generalization, to show possibilities and limitations of commercial generalization software, and to identify areas for further research. The methodology had to consider all types of heterogeneity to guarantee independent testing a… Show more
“…align-along-road) which integrates the relationship to surrounding roads. The typology proposed in this paper is regarded to be generic as all of the pattern types are confirmed by studying the maps (of the Netherlands, France, and Spain) in the EuroSDR generalization study (Stoter et al, 2009a), and maps of China, examples are shown in Figure 2. Other higher-level or global pattern can be seen as spatial combination of these low-level patterns and the integration of these patterns with other information such as semantics.…”
Section: Identifying and Characterizing The Typologymentioning
ABSTRACT:Building patterns are important features in applications like automated generalization and spatial data mining. Many previous work has however focused on a few specific patterns (i.e. collinear pattern), while many others are less discussed. This paper proposes a comprehensive typology of available building patterns through the study of existing maps, and discusses their characteristics. This typology includes collinear, curvilinear, align-along-road, grid-like and unstructured patterns. Two algorithms are presented to detect align-along-road and unstructured building patterns, which are tested against a topographic dataset of the Netherlands.
“…align-along-road) which integrates the relationship to surrounding roads. The typology proposed in this paper is regarded to be generic as all of the pattern types are confirmed by studying the maps (of the Netherlands, France, and Spain) in the EuroSDR generalization study (Stoter et al, 2009a), and maps of China, examples are shown in Figure 2. Other higher-level or global pattern can be seen as spatial combination of these low-level patterns and the integration of these patterns with other information such as semantics.…”
Section: Identifying and Characterizing The Typologymentioning
ABSTRACT:Building patterns are important features in applications like automated generalization and spatial data mining. Many previous work has however focused on a few specific patterns (i.e. collinear pattern), while many others are less discussed. This paper proposes a comprehensive typology of available building patterns through the study of existing maps, and discusses their characteristics. This typology includes collinear, curvilinear, align-along-road, grid-like and unstructured patterns. Two algorithms are presented to detect align-along-road and unstructured building patterns, which are tested against a topographic dataset of the Netherlands.
“…In the EuroSDR project, cartographic experts of four national mapping agencies (NMAs) were called to evaluate the results of the automation generalisation process according to certain constraints (Stoter et al, 2009). The objective of this project consists to illustrate the state of the art of automated generalisation in practice, exchange of knowledge between research community, NMAs and software vendor and to contribute to the development of constraint specification.…”
Section: State Of Art For On-the-fly Web Map Generalisationmentioning
Abstract:With the technological development in the web, great numbers of users want access to spatial data on the web that is specific to their needs. This may be possible by applying the suitable generalisation process which consists to simplify the objects of the map and may transform the topological relations between them into another ones in real-time. This process called on-the-fly generalisation maps. Many approaches were proposed for improving this process, but those do not suffice to guide a powerful and efficient process. In this paper, we will propose a robust framework to transform the topological relationships during the on-the-fly web map generalisation and treat the problem associated to modelling of streets and rivers as linear objects because, in the reality (ground), they have some widths or areas. By considering a road or a river as a line or as an area, topological relationships can be different. We use mainly two types of object; ribbon and regions.
“…Stoter et al [32] comprehensively studied map specifications for automated map generalization (i.e., selection and simplified representation of details appropriate to the scale and/or purpose of a map [17]). In their results, the authors listed graphical measures for both single objects and groups of objects.…”
Section: Readability Measures In Dataset Specifications and Cartograpmentioning
Readability is a major issue with all maps. In this study, we evaluated whether we can predict map readability using analytical measures, both single measures and composites of measures. A user test was conducted regarding the perceived readability of a number of test map samples. Evaluations were then performed to determine how well single measures and composites of measures could describe the map readability. The evaluation of single measures showed that the amount of information was most important, followed by the spatial distribution of information. The measures of object complexity and graphical resolution were not useful for explaining the map readability of our test data. The evaluations of composites of measures included three methods: threshold evaluation, multiple linear regression and support vector machine. We found that the use of composites of measures was better for describing map readability than single measures, but we could not identify any major differences in the results of the three composite methods. The results of this study can be used to recommend readability measures for triggering and controlling the map generalization process of online maps.
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