Data Visualization
- Remove the current class from the content27_link item as Webflows native current state will automatically be applied.
- To add interactions which automatically expand and collapse sections in the table of contents, select the content27_h-trigger element, add an element trigger, and select Mouse click (tap).
- For the 1st click, select the custom animation Content 27 table of contents [Expand], and for the 2nd click, select the custom animation Content 27 table of contents [Collapse].
- In the Trigger Settings, deselect all checkboxes other than Desktop and above. This disables the interaction on tablet and below to prevent bugs when scrolling.
Data Visualization
Spatial Data Visualization is the practice of creating graphical representations of geospatial data to facilitate exploration, analysis, and communication of spatial information. Visualization techniques are used to transform raw geographic data into maps, charts, graphs, and interactive visual displays.
Effective spatial data visualization enhances the understanding of complex spatial patterns, trends, and relationships. It enables users to gain insights from geospatial data and supports decision-making processes. Visualization tools range from simple static maps to advanced, interactive web-based applications.
For example, choropleth maps use color shading to represent spatial variations in data, making it easy to discern patterns in demographics, climate, or socioeconomic indicators across geographic regions. Interactive heatmaps allow users to explore the density of points of interest on a map and discover clusters or hotspots.
Spatial data visualization is a critical component of geographic information systems (GIS), data analysis, and storytelling with data. It empowers users to communicate spatial information effectively and engage with geographic data in a meaningful way.
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