Geospatial-based data visualization screens typically include the following components:
1. Map Component:
Maps are the core components of geospatial data visualization, and map component libraries (such as Mapbox, Leaflet, and Google Maps) are usually used to display geographic information data, including map basemaps, geographic features, marker points, heat maps, etc.
2. Chart Component:
In addition to maps, dashboards usually include a variety of chart components to display statistics, trends, distribution, and other information of geospatial data, such as bar charts, line charts, and pie charts. These charts can help users more intuitively understand the characteristics and changes in geospatial data.
3. Data List:
Data lists are often used to display specific geospatial data, such as details of geographic features, statistics, and so on. A list of data can provide users with the ability to view and filter data.
4. Timeline:
For time series data, timeline can help you observe the trend of data changes over time, and select and adjust the time range.
5. Filters and Interactive Controls:
In order to provide a better interactive experience, large screens usually include various filters and interactive controls, such as drop-down boxes, sliders, checkboxes, etc., so that users can customize the scope of data display and analysis as needed.
6. Geospatial Data Display:
The large geospatial data visualization screen usually displays geographic information data such as various geographic features, regional boundaries, and heat maps, so that users can intuitively understand and analyze the data.
7. Text description and annotation:
To help users better understand the data, the dashboard usually includes text descriptions and annotations to explain the meaning of the data, provide contextual information, and more.
8. Real-time data updates:
For application scenarios that require real-time monitoring, the dashboard may also include real-time data updates so that users can obtain the latest geospatial data in a timely manner.
The above are the common components of a geospatial-based data visualization screen, which can be combined to help users understand and analyze geospatial data more intuitively and comprehensively.