Visualize your geospatial data with Meado's powerful interactive map component. Configure datasets, apply filters, and analyze geographic patterns.
The Map Component in Meado provides powerful geospatial visualization capabilities. You can load datasets, apply filters, configure visual settings, and use various mapping tools to analyze your geographic data effectively.
Accessing the Map
To access the map component:
Navigate to your project in the Meado application
Click on the "Map" tab in the project navigation (left sidebar)
The map interface will load with the configuration panel on the right side
Map Interface Overview
The map interface consists of several key areas:
Configuration Panel
The right-side panel contains multiple tabs for different configuration options:
Settings Tab: Dataset configuration and basic map settings
Tools Tab: Advanced mapping tools and analysis functions
Analytics Tab: Data analytics and insights
Shapes Tab: Shape file management and editing
Export Tab: Data export options (available when data is selected)
Bulk Edit Tab: Bulk editing capabilities (available when data is selected)
Map Toolbar
The map toolbar with different configuration tabs (Settings tab is active)
Map Controls
The map includes various control buttons for different functions:
Export Map: Download the current map view as an image
Clear Layers: Remove all drawn polygons and selections
Zoom Controls: Adjust H3 resolution for data visualization
Max Resolution Toggle: Switch between hexagon and marker view
Facility Controls: Show/hide facilities and facility lines
Text Toggle: Show/hide hexagon text labels
Shape Toggle: Show/hide shape file objects
Legend Toggle: Show/hide the map legend
Basic Configuration (Settings Tab)
The Settings tab contains the fundamental configuration options for your map:
Dataset Selection
Start by selecting a dataset to visualize on the map:
Click on the "Dataset" dropdown in the Settings tab
Select from your available datasets (excludes vehicle and shape_file datasets)
The map will automatically load and display your data
Dataset Selection
The dataset selection dropdown in the Settings tab
Weighting Configuration
Configure how your data points are weighted for visualization:
Select a numeric field from the "Weighting" dropdown
Choose "None" if you want equal weighting for all points
The selected field will be used to determine the visual weight of data points
Weighting Selection
The weighting dropdown allows you to select numeric fields for data point weighting
Color Configuration
Customize the visual appearance of your map data:
Primary and Secondary Colors
Primary Map Color: Main color for data visualization
Secondary Map Color: Secondary color for contrast and emphasis
Color Configuration
#FF0000
#000000
Color pickers for primary and secondary map colors
Color Palette
Configure the color palette used for grouping and categorization:
Use the color palette picker to customize colors
Colors are automatically assigned to different groups in your data
Default palette includes 22 predefined colors
Color Palette
The color palette picker with 22 predefined colors for data grouping
Group By Configuration
Organize your data by grouping points based on a specific field:
Select a field from the "Group By" dropdown
Choose "None" if you don't want to group your data
This feature is primarily used with max resolution mode
Each group will be assigned a different color from your palette
Group By Selection
The Group By dropdown for organizing data points by specific fields
Max Resolution Settings
When max resolution is enabled, additional configuration options become available:
Label Fields
Select which fields to display as labels on your data points:
Use the multi-select dropdown to choose label fields
Multiple fields can be selected for comprehensive labeling
Labels are only visible in max resolution mode
Label Fields Selection
Multi-select dropdown for choosing which fields to display as labels
Marker Configuration
Adjust the appearance of individual data point markers:
Marker Radius
Control the size of individual markers using the radius slider:
• Range: 1 to 10 units
• Larger values create more prominent markers
• Setting is automatically saved to your browser
Marker Radius Configuration
Marker Radius: 5
The marker radius slider for adjusting marker size
Marker Opacity
Control the transparency of markers using the opacity slider:
• Range: 0% to 100% opacity
• Lower values make markers more transparent
• Useful for overlapping data visualization
Marker Opacity Configuration
Marker Opacity: 0.8
The marker opacity slider for adjusting marker transparency
Data Filtering
Apply filters to focus on specific subsets of your data:
Filtering Interface
The filtering section is collapsible and provides comprehensive filtering options:
Click on "Filtering" to expand the filter options
Use the arrow icon to collapse/expand the section
Apply multiple filter conditions as needed
Filters are applied in real-time to the map visualization
Filtering Interface
Filtering
The collapsible filtering interface with field, operator, and value selection
Filter Types
Available filter types include:
Text Filters: Contains, equals, starts with, ends with
Numeric Filters: Greater than, less than, between, equals
Date Filters: Date ranges and specific date conditions
Boolean Filters: True/false conditions
Map Base Layers
Choose from different base map layers to suit your visualization needs:
OpenStreetMap: Default street map view
Satellite: Aerial imagery for detailed geographic context
Terrain: Topographic view showing elevation and terrain features
Dark Mode: Dark-themed map for reduced eye strain
Tip: Your base layer selection is automatically saved and will be remembered for future map sessions. This ensures a consistent experience across your work.
Best Practices
Follow these best practices for effective map configuration:
Dataset Selection
Choose datasets with geographic coordinates (latitude/longitude)
Ensure your data has sufficient geographic coverage for meaningful visualization
Consider data density - very dense datasets may benefit from filtering
Visual Configuration
Use contrasting colors for better visibility
Adjust marker opacity when dealing with overlapping data points
Choose appropriate marker sizes based on your data density
Use grouping to organize related data points
Performance Optimization
Apply filters to reduce the amount of data displayed
Use max resolution mode for detailed analysis of smaller datasets
Consider using hexagon visualization for large datasets
Export static images for presentations and reports
Pro Tip: Start with basic configuration settings, then gradually add filters and advanced features as you become more familiar with the map component. This approach helps you understand how each setting affects your visualization.