Map Configuration

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:

  1. Navigate to your project in the Meado application
  2. Click on the "Map" tab in the project navigation (left sidebar)
  3. 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:

  1. Click on the "Dataset" dropdown in the Settings tab
  2. Select from your available datasets (excludes vehicle and shape_file datasets)
  3. 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:

  1. Select a numeric field from the "Weighting" dropdown
  2. Choose "None" if you want equal weighting for all points
  3. 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:

  1. Select a field from the "Group By" dropdown
  2. Choose "None" if you don't want to group your data
  3. This feature is primarily used with max resolution mode
  4. 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:

  1. Click on "Filtering" to expand the filter options
  2. Use the arrow icon to collapse/expand the section
  3. Apply multiple filter conditions as needed
  4. 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.