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Abstract

The aim of this article is to present the concept of information capacity and visual suggestiveness as a map characteristic on the example of two maps of human migration. From this viewpoint the literature study has been performed. Proposed by the author the features of cartographic visualization are an attempt to establish cartographic pragmatics and find the way to increase effectiveness of dynamic maps with large information capacity. Among the works on cartographic pragmatics, muliaspectuality of spatio-temporal data the proposed solution has not been taken so far, and refers to the map design problematic.
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Abstract

The graphical user interface (GUI) and the functionality of various global map services in the context of responsive web design were compared in the article. The analysis included: the number and arrangement of buttons on the start screen, available map layers, waypoints and means of transport for searched routes on four screens of various sizes: the desktop computer, laptop, tablet, and smartphone screen. Having compared the interface and the functionality of eight global map services (Baidu Maps, Google Maps, HereWeGo, Bing Maps, Open Street Map, Map Quest, 2Gis, Yandex Maps), authors draw conclusions concerning responsive web design. Despite the fact that specific map services differ, there are some common features making a good example of the adaptation of the graphical user interface to the device on which the map is presented. Global map services, regardless of the display size, use the same interactive tools that are graphically similar. Among those graphic similarities, one can distinguish two or three graphical styles representing a single function. Two versions of the interface can be observed – the desktop and mobile type. Adaptation to devices such as laptops or tablets assumes that only the screen decreases but the interface and the functionality remains relatively unchanged. Real responsiveness occurs only when service is displayed on a smartphone display.
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Abstract

Eye tracking constitutes a valuable tool for the examination of human visual behavior since it provides objective measurements related to the performed visual strategies during the observation of any type of visual stimuli. Over the last decade, eye movement analysis contributed substantially to the better understanding of how visual attention processes work in different types of maps. Considering the clear need for the examination of map user reaction during the observation of realistic cartographic products (i.e. static maps, animated maps, interactive and multimedia maps), a critical amount of experimental studies were performed in order to study different aspects related to map reading process by the cartographic community. The foundation of these studies is based on theories and models that have been developed in similar research domains (i.e. psychology, neuroscience etc.), while the research outcomes that produced over these years can be used directly for the design of more effective and efficient maps. The aim of the present article is to summarize and present the current panorama of the existing eye tracking studies in cartographic research appeared over the last decade. Additionally, methodological contributions (including analysis tools) of cartographic society in the field of eye movement analysis are reported, while existing challenges and future perspectives are also discussed.
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Abstract

This paper analyses the use of table visual variables of statistical data of hospital beds as an important tool for revealing spatio-temporal dependencies. It is argued that some of conclusions from the data about public health and public expenditure on health have a spatio-temporal reference. Different from previous studies, this article adopts combination of cartographic pragmatics and spatial visualization with previous conclusions made in public health literature. While the significant conclusions about health care and economic factors has been highlighted in research papers, this article is the first to apply visual analysis to statistical table together with maps which is called previsualisation.
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