This article contributes to understanding the difference between objective space and subjective place. New data models and visual methods, which make possible the comparison between dream settings, are necessary to an exploratory analysis of dreams. The subjective perception of settings is decomposed by studying dream reports, by applying a survey, and by considering related scientific literature. This leads to the construction of two data models, which are applied in dream cartography. The place cookie model features the dreamer's familiarity with the setting, being visualized in the form of concentric circles. The setting spider model is based on 26 variables, extensively characterizing the setting. These are grouped into eight factors, and visualized in a compact radar chart with eight “legs.” As a superordinate system of the setting spider, the event spider is developed, describing the whole dream scene. The proposed models and visualization methods can be transferred for real‐life events (settings).
Map projections are one of the foundations of geographic information science and cartography. An understanding of the different projection variants and properties is critical when creating maps or carrying out geospatial analyses. The common way of teaching map projections in text books makes use of the light source (or light bulb) metaphor, which draws a comparison between the construction of a map projection and the way light rays travel from the light source to the projection surface. Although conceptually plausible, such explanations were created for the static instructions in textbooks. Modern web technologies may provide a more comprehensive learning experience by allowing the student to interactively explore (in guided or unguided mode) the way map projections can be constructed following the light source metaphor. The implementation of this approach, however, is not trivial as it requires detailed knowledge of map projections and computer graphics. Therefore, this paper describes the underlying computational methods and presents a prototype as an example of how this concept can be applied in practice. The prototype will be integrated into the Geographic Information Technology Training Alliance (GITTA) platform to complement the lesson on map projections.
Map projections are one of the fundamental concepts of geographic information science and cartography. An understanding of the different variants and properties is critical when creating maps or carrying out geospatial analyses. To support learning about map projections, we present an online tool that allows to interactively explore the construction process of map projections. A central 3D view shows the three main building blocks for perspective map projections: the globe, the projection surface (cone, cylinder, plane) and the projection center. Interactively adjusting these objects allows to create a multitude of arrangements forming the basis for common map projections. Further insights can be gained by adding supplementary information, such as projection lines and Tissot’s indicatrices. Once all objects have been arranged in a desired way, the projection surface can be unrolled to form the final flat map. Currently, the tool is limited to visualize the construction of true perspective map projections. In the future, prime concerns are to increase the genericity of the application to support more map projections and to integrate it into the GITTA (Geographic Information Technology Training Alliance) platform.
Map projections are one of the fundamental concepts of geographic information science and cartography. An understanding of the different variants and properties is critical when creating maps or carrying out geospatial analyses. To support learning about map projections, we present an online tool that allows to interactively explore the construction process of map projections. A central 3D view shows the three main building blocks for perspective map projections: the globe, the projection surface (cone, cylinder, plane) and the projection center. Interactively adjusting these objects allows to create a multitude of arrangements forming the basis for common map projections. Further insights can be gained by adding supplementary information, such as projection lines and Tissot’s indicatrices. Once all objects have been arranged in a desired way, the projection surface can be unrolled to form the final flat map. Currently, the tool is limited to visualize the construction of true perspective map projections. In the future, prime concerns are to increase the genericity of the application to support more map projections and to integrate it into the GITTA (Geographic Information Technology Training Alliance) platform.
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