Journal: Proceedings of the ICA

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Publisher

Copernicus

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ISSN

2570-2092

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2019 - 201922020 - 20212
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Publications 1 - 4 of 4
  • Visual Analytics for Regional Economic Environment Factors Based on a Dashboard Design
    Item type: Conference Paper
    Zuo, Chenyu; Ding, Linfang; Meng, Liqiu (2019)
    Proceedings of the ICA ~ 29th International Cartographic Conference
    Economic environment is vital for commercial investment, city planning and company strategy planning in urban areas. Mastering the economical trend may help the entrepreneurs, government officers and individuals in their decision-making process. In this study, we explore multiple geo-economic datasets using visual analytics methods for understanding the economic environment. More specifically, we user time-series Gross Domestic Product (GDP) data as an economic indicator of economic development and land use data to support the spatial analysis at a refined geographic scale. The spatiotemporal patterns of the regional economic environment are revealed both qualitatively and quantitatively. The work has a three-fold contributions: (1) we apply a grid-based spatial interpolation model to derive GDP values at a file granularity based on land use data; (2) we design a novel interactive dashboard for the GDP data exploration, which serves as a visual analytical tool between data and users; (3) we combine quantitative analysis with visualizations to strengthen the qualitative analysis. The feasibility of visual analytics methods and the dashboard design are tested in one of the most developed regions, Jiangsu Province, China. Both expected and unexpected economical patterns were extracted.
  • Cartographic Tools for Mapping Dreams
    Item type: Conference Paper
    Iosifescu Enescu, Cristina M.; Hurni, Lorenz (2019)
    Proceedings of the ICA
    Creating maps for their dreams enable dreamers to better attend to them. However, mapping dreams is not an easy task due to the particularities of the dream space. Therefore, there is a need of specific cartographic tools for this purpose. This work illustrates the process of creating a Web platform for mapping dreams, functional requirements are stated, and different possible implementations are discussed. By means of a dream example, a dream map and other related visual elements are created, presented and explained. The theoretical framework is based on the Dream Cartography project and the specific diagrammatic visualization tools were developed in its frame.
  • A survey on the evolution of the Chinese cadastral system
    Item type: Conference Paper
    Jiao, Chenjing; Hurni, Lorenz (2021)
    Proceedings of the ICA ~ Proceedings of the International Cartographic Association
    Cadastral system plays a pivotal role in land administration, which has attracted notable attention from researchers and policy-makers worldwide. Despite China being the most populous country throughout the world, its cadastral system is rarely studied. This paper conducts a comprehensive survey on the evolution of the Chinese cadastral system by elaborating the historical and contemporary Chinese cadastre. Specifically, contemporary Chinese cadastre is articulated from the aspects including content and purpose, legal basis, organization, and technical approaches, and compared with Swiss and Hong Kong cadastre. It is concluded that the Chinese cadastre evolved in a different way from that of the western countries due to China’s unique historical and economic background. This study sheds light on systematically understanding the development of the Chinese cadastre and further refining contemporary Chinese cadastral system.
  • Visualizing Spatiotemporal Epidemic Clusters on a Map-based Dashboard
    Item type: Conference Paper
    Zhang, Hui; Zuo, Chenyu; Ding, Linfang (2021)
    Proceedings of the ICA ~ 30th International Cartographic Conference (ICC 2021)
    Spatiotemporal distribution of the epidemic data plays an important role in its understanding and prediction. In order to understand the transmission patterns of infectious diseases in a more intuitive way, many works applied various visualizations to show the epidemic datasets. However, most of them focus on visualizing the epidemic information at the overall level such as the confirmed counts each country, while spending less effort on powering user to effectively understand and reason the very large and complex epidemic datasets through flexible interactions. In this paper, the authors proposed a novel map-based dashboard for visualizing and analyzing spatiotemporal clustering patterns and transmission chains of epidemic data. We used 102 confirmed cases officially reported by the Ministry of Health in Singapore as the test dataset. This experiment shown that the well-designed and interactive map-based dashboard is effective in shorten the time that users required to mine the spatiotemporal characteristics and transmission chains behind the textual and numerical epidemic data.
Publications 1 - 4 of 4