ICC Programming

Data Frameworks

4501.1 - The Dynamic Generative Mechanism of Web Thematic Map for Multi-Dimensions Data

Presenting Author(s)

• 

  Tianqi Qiu, PhD

  Doctoral student
  Wuhan University

Co-Presenter(s)

• FR

  Fu Ren

  Wuhan University
• QD

  Qingyun Du

  School of Resources and Environmental Science, Wuhan University

Moderator(s)

• 

  François Lecordix, Ingeneer

  Project Manager
  Institut national de l'information géographique et forestière

In recent years, development of GIS has been able to integrate navigation data with a high level of positional accuracy, high-resolution remote sensing imagery and multiple dimensions increasingly, and is embedded into the various specific and practical model applications on a grand scale. But nevertheless, GIS often results in implicit representation of important decision support information, and allows decision-makers to generalize or extract these information by technical means, such as spatial analysis, spatial statistics, spatial data mining and so on, from the different perspectives of problem solving. In contrast, traditional analog thematic maps (atlas) usually are an achievement which is designed and complied carefully by cartography experts and domain experts together, which focus on intuitiveness and usability of thematic maps, and represent explicitly various space-related decision support information. But considering the web driven incompatibility between traditional cartographic communication model, which takes map making and map using as independent processes, and web users’ individual demand, which composes of dynamic updating of information sources, free expression of map symbols, convenient interaction of user interface and impressed customer experience, the paper puts forward a new idea of online dynamic generative mechanism of thematic map, which establishs a fast path between socio-economic thematic statistical data and thematic maps, and achieves web-based integrated manufacturing pattern of thematic cartography from raw data to map products, which enable traditional cartography to better fit into those established web patterns. It is an effective way to convert various map data into flexible dynamic thematic map services of which users can make the most effective use by supporting updating original data on command, switching range of spatial statistics flexibly, adjusting the thematic symbols dynamically and outputting thematic map with high resolution. It can serve as a new pattern of web cartography.
In this article, realization of the online dynamic generative mechanism of thematic map depends upon model design of thematic map and implementation of technological engines. In this strategy, traditional atlas data is rendered online as base maps by a base map rendering engine, which retaining the aesthetic property of traditional maps, a STTI (Spatial, Time, Theme, Index) model stipulates the multi data format, and an automatic matching model between spatial data and thematic data, ensuring the interconnection between different administrative levels and themes. A 5-turples model of dynamic thematic cartography is proposed, and thematic symbols are constructed based on theory of syntactic structure. An information system consisting of seven software engine modules based on SOA ideas are established. Exampled by a running project of Web thematic mapping of pesticide residue detection in China in this paper, showing the condition of pesticide residue detection in China from the whole country to every province and city in fruits and vegetables, the model and the system analyzed in detail, becomes significative to similar multi-dimensions data cartography projects.
Therefore, the paper explores a new pattern of thematic cartography for web representation of spatial multidimensional information, from “data→designing→making→publishing→updating” traditional pipeline execution mode to “{data, classify, design, making, publishing, analyzing, using, updating}” modern integrated manufacturing model, and it provides a database structure of spatial multidimensional thematic data and common software platform of value-added applications for the traditional map publishing industry.