6,104 research outputs found

    Trends and concerns in digital cartography

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    CISRG discussion paper ;

    The Douglas-Peucker algorithm for line simplification: Re-evaluation through visualization

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    The primary aim of this paper is to illustrate the value of visualization in cartography and to indicate that tools for the generation and manipulation of realistic images are of limited value within this application. This paper demonstrates the value of visualization within one problem in cartography, namely the generalisation of lines. It reports on the evaluation of the Douglas-Peucker algorithm for line simplification. Visualization of the simplification process and of the results suggest that the mathematical measures of performance proposed by some other researchers are inappropriate, misleading and questionable

    Image databases: Problems and perspectives

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    With the increasing number of computer graphics, image processing, and pattern recognition applications, economical storage, efficient representation and manipulation, and powerful and flexible query languages for retrieval of image data are of paramount importance. These and related issues pertinent to image data bases are examined

    Cartography as a tool for studying iberian literary relationships: evaluation of a practical experiment

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    This article presents the results of the Digital Map of Iberian Literary Relations (1870-1930) project, which applies a cartographic approach to interactions between Iberian literary systems in the late nineteenth century and early twentieth century. Firstly, it provides an overview of the theoretical foundations underpinning the project, examining both the field of Iberian Studies, which forms the basis for the study, and the development of digital cartographies in recent years. Secondly, it explains the specific methodology used in the project, from the selection of data and their codification into a database to possible issues and options for visualization through interactive digital maps. Finally, the article presents a preliminary analysis of the results of the project and the conclusions emerging from the ‘digital map’. It seeks to demonstrate the way in which this innovative cartographic and visual approach to transnational literary history can serve as a tool to reflect on the centres, nodes and peripheries of the dissemination of Iberian cultures. In addition, the article highlights several limitations of the model, providing a stepping-stone from which to propose further developmentsinfo:eu-repo/semantics/publishedVersio

    The Image from the Road: Towards Mapping the Phenomenological

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    An area of focus, used in early and contemporary forms of cognitive geography research, is the ‘cognitive map’, a concept that suggests “that people hold a map-like database in their minds to which they can add and use to tackle geographical tasks”. Kevin Lynch, an urban planner in the 1960s, was an early adopter of the cognitive map approach to reveal spatial cognition, what or how people see their environment, specifically cognition of the urban environment. Lynch’s research aimed to develop empirical methods, to identify how people make spatial relationships. Contemporary tools like machine learning are now considered relevant for such tasks. The proposed methods outline steps for categorizing a neural network image knowledge base grounded in perception theory. Categorizations and cartographic representations are made using GIS and locally weighted regression of the experiential phenomenon of structural density along roadways in Faytteville, Arkanasas. An alternative method of characterizing the city, one that accounts for the phenomenological as experienced from a human field of view during travel is offered

    Topological Equivalence and Similarity in Multi-Representation Geographic Databases

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    Geographic databases contain collections of spatial data representing the variety of views for the real world at a specific time. Depending on the resolution or scale of the spatial data, spatial objects may have different spatial dimensions, and they may be represented by point, linear, or polygonal features, or combination of them. The diversity of data that are collected over the same area, often from different sources, imposes a question of how to integrate and to keep them consistent in order to provide correct answers for spatial queries. This thesis is concerned with the development of a tool to check topological equivalence and similarity for spatial objects in multi-representation databases. The main question is what are the components of a model to identify topological consistency, based on a set of possible transitions for the different types of spatial representations. This work develops a new formalism to model consistently spatial objects and spatial relations between several objects, each represented at multiple levels of detail. It focuses on the topological consistency constraints that must hold among the different representation of objects, but it is not concerned about generalization operations of how to derive one representation level from another. The result of this thesis is a?computational tool to evaluate topological equivalence and similarity across multiple representations. This thesis proposes to organize a spatial scene -a set of spatial objects and their embeddings in space- directly as a relation-based model that uses a hierarchical graph representation. The focus of the relation-based model is on relevant object representations. Only the highest-dimensional object representations are explicitly stored, while their parts are not represented in the graph
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