Designing Effective Map Visualization Layouts for Logistics Applications

1. Page Layout

Map visualization pages can adopt different interface layouts based on user goals and scenarios. Three common layouts are described:

1. Map‑Centric with Auxiliary Controls

• Interface features: The map occupies most of the screen, while auxiliary panels are placed on the side or bottom, offering additional functions such as zoom, pan, and annotation controls.

• Suitable scenarios: Ideal when the primary task is to view geographic data, browse the map, and interact with it, e.g., travel apps, navigation, or geographic data browsing.

2. Parallel Map and Auxiliary Information

• Interface features: The map and auxiliary information panels are arranged side by side, typically with the map on the left or top and legends, tables, filters, etc., on the right or bottom, allowing simultaneous viewing.

• Suitable scenarios: Useful when users need to see map data together with detailed related information, such as geographic analysis or data comparison.

3. Two‑Level Panel Layout

• Interface features: The page is split into two main panels; the map occupies the left or top, while an auxiliary operation panel on the right or bottom provides legends, filters, search, info windows, etc. The auxiliary panel can be expanded or collapsed.

• Suitable scenarios: When a large map display is needed but quick access to auxiliary functions is also required, such as logistics management or geographic data analysis.

These layout forms can be adjusted or combined according to user needs and project goals, ensuring clear design, easy information access, and good user experience, with responsive design for various screen sizes.

2. Map Visualization Content

Map visualizations use points, lines, and areas layered on a base map.

1. Points

Various point types represent geographic features, locations, or data points, including location points, aggregated points, and trajectory points.

(1) Location Points

Used to mark specific places such as cities, landmarks, stores, restaurants, hotels, etc., via icons, symbols, labels, or custom images.

• Symbols and icons: Recognizable symbols for different point types (e.g., store icons, start/end markers).

• Points of Interest (POI): Pre‑defined points like museums, parks, hospitals, schools.

• Data points: Show values such as sales volume or population density, linked to coordinates.

• Label points: Text labels that provide additional information.

• Custom points: User‑defined images or symbols for specific needs.

(2) Aggregated Points

Represent density of multiple data points in the same area, preventing clutter. Strategies include fixed aggregation, dynamic aggregation/disaggregation, grid aggregation, and temporal aggregation.

• Fixed aggregation: Keeps the same clustering at all zoom levels.

• Dynamic aggregation/disaggregation: Adjusts clustering based on zoom to reveal details.

• Temporal aggregation: Shows or groups points based on time, useful for time‑sensitive data.

(3) Trajectory Points

Depict movement paths of objects such as vehicles, ships, aircraft, or pedestrians. Types include GPS points, moving points (with speed, direction, timestamp), stay points, event points, segment points, and anomaly points.

2. Lines

Lines convey various geographic relationships.

(1) Trajectory Lines

Show movement paths such as real‑time transport routes.

• Line color: Different colors indicate status (e.g., red for congestion).

• Line thickness: Emphasize important segments.

• Direction arrows: Indicate travel direction.

Various routing scenarios include single‑route planning, multi‑target routing, circular routes, comparative routing, and multi‑vehicle routing, each serving different logistics and navigation needs.

(2) Arc Diagrams

Use arcs to connect points, illustrating flows such as migration, traffic volume, or trade relationships.

• Arc curvature: Choose smooth curves (e.g., Bézier).

• Color and thickness: Differentiate relationship types.

• Labels and annotations: Explain connections.

• Interactivity: Hover or click to reveal details.

(3) Drawing Lines

Used to create specific shapes, polygons, or fenced areas (e.g., service zones). Key points: choose appropriate colors and styles, set fill color and opacity, ensure geometric accuracy, and add informative labels.

3. Areas

Area visualizations include choropleth maps where regions are colored based on data values, useful for displaying statistical information across districts.

3. Map Visualization Charts

Common chart types that overlay data on maps include:

Bubble Chart: Circles represent locations; size encodes one attribute, color another, useful for multi‑variable data like population and GDP.

Hexagonal Heatmap: Divides the map into hex cells, coloring each based on data values, suitable for regional distribution such as parcel volume.

Scatter Heatmap: Shows individual data points with color or opacity indicating density, ideal for hotspots like crime or crowding.

Kernel Density Heatmap: Generates a smooth heat layer reflecting data density, used for traffic flow or earthquake distribution.

Map visualization is a powerful spatial data expression and analysis tool in the logistics industry, enhancing transparency, efficiency, and decision‑making. As technology advances, logistics map visualizations will become more intelligent and refined, further driving industry growth.