12-17, 09:30–09:45 (Asia/Bangkok), Auditorium Hall 1
In today's rapidly evolving field of map data visualization, the use of vector tiles is increasingly prevalent. Vector tiles offer flexible and efficient data display, but they require JSON Style data to define their visual representation. JSON Style plays a crucial role in formatting data, ensuring that presentations are both diverse and user-friendly.
JSON Style is essential in online map data visualization due to its ability to effectively control the display of complex data. This includes capabilities such as altering colors, setting sizes, and arranging elements. With JSON Style, designers and developers can swiftly and easily create and modify visualizations to meet specific requirements.
Developed to streamline the management and customization of web application appearances, JSON Style empowers designers and developers to maintain consistent and appealing visual presentations that align with user preferences and needs. This tool enables adjustments to various styles, including background colors, fonts, font sizes, button designs, and other elements. Users can create, save, and apply their custom styles to different parts of the application as required.
Moreover, JSON Style facilitates efficient team collaboration in style development and maintenance, making the application development process smoother and allowing for continuous style improvements. This tool effectively addresses the needs of both development teams and end-users.
The flexibility and efficiency of JSON Style in defining visual representations have made it an indispensable tool. It enables designers and developers to produce visually appealing and user-centric online map data visualizations, contributing to its widespread acceptance and popularity in the fields of mapping and web application development.
Objectives:
- Demonstrate the importance of JSON Style in vector tile-based map data visualization.
- Showcase the capabilities of JSON Style in controlling and customizing complex data displays.
- Provide practical examples of using JSON Style to create and modify visual elements.
- Highlight the benefits of JSON Style for team collaboration and ongoing style maintenance.
Target Audience:
- GIS professionals and enthusiasts
- Web developers and designers
- Data scientists and analysts
- Urban planners and environmental scientists
- Anyone interested in geospatial data visualization
