SayPro Monthly January SCMR-5 SayPro Monthly Monthly Classified Location Based Search: Enable search and filter based on geographic location by SayPro Classified Office under SayPro Marketing Royalty SCMR
Purpose of the Template
The SayPro Location Data Schema Template ensures that all classified listings on the SayPro platform include essential location metadata. This enables precise search, filtering, and categorization of classified ads based on geographic location. The template aligns with the SayPro Monthly January SCMR-5 guidelines and integrates with the SayPro Monthly Classified Location-Based Search, managed by the SayPro Classified Office under SayPro Marketing Royalty SCMR.
Structure of the Location Data Schema
1. General Location Information
This section captures the fundamental location details required for each classified listing.
| Field Name | Description | Example | Required (Y/N) |
|---|---|---|---|
| Location Name | The name of the city, town, or region. | Cape Town, South Africa | Y |
| Address | Street address of the listing (if applicable). | 12 Main Street | N |
| City | The city where the listing is located. | Johannesburg | Y |
| State/Province | The state or province where the city is located. | Gauteng | Y |
| Country | The country of the listing. | South Africa | Y |
| Postal Code | The postal or ZIP code for the area. | 2000 | N |
2. Geographic Coordinates
This section includes precise latitude and longitude values for improved accuracy in location-based searches and filters.
| Field Name | Description | Example | Required (Y/N) |
|---|---|---|---|
| Latitude | The latitude coordinate of the listing location. | -33.9249 | Y |
| Longitude | The longitude coordinate of the listing location. | 18.4241 | Y |
3. Categorization Based on Location
To enable dynamic filtering and search options, classified listings must be categorized based on predefined location categories.
| Field Name | Description | Example | Required (Y/N) |
|---|---|---|---|
| Region Type | Defines the level of the location (Urban, Suburban, Rural). | Urban | Y |
| Locality Classification | District, Municipality, or Metro area. | Johannesburg Metro | Y |
| Zone Code | Unique identifier assigned to predefined geographic zones. | ZA-GP-01 | Y |
4. Location-Based Search Optimization
The following metadata fields help refine search results based on geographic preferences.
| Field Name | Description | Example | Required (Y/N) |
|---|---|---|---|
| Search Radius (km) | The distance range for location-based filtering. | 10 km | Y |
| Nearby Landmarks | Key reference points near the location. | Nelson Mandela Square | N |
| Transportation Access | Indicates accessibility via public transport, roads. | Bus, Taxi, Train | N |
5. Integration with SayPro Location-Based Services
The location schema integrates with SayPro’s location-based services, including:
- SayPro Monthly Classified Location-Based Search: Enables search and filter functions based on geographic location.
- SayPro Classified Office Data Systems: Standardizes location metadata for consistency across all classified listings.
- SayPro Marketing Royalty SCMR Geo-Tagging: Assigns digital geographic tags to classified ads for better visibility and local targeting.
Implementation Guidelines
- Data Entry Best Practices
- Always include the city, state/province, and country for all listings.
- Use latitude and longitude coordinates to improve search accuracy.
- Select an appropriate region type (Urban, Suburban, Rural) to enhance filtering.
- Search & Filtering Integration
- Ensure zone codes and region types are correctly assigned.
- Implement a 10 km default search radius for location-based searches.
- Enable users to search by landmarks and transportation access points.
- Quality Assurance
- Regularly update location data to reflect changes in administrative boundaries.
- Standardize naming conventions (e.g., use “Cape Town” instead of “CT” or “Kaapstad”).
- Ensure GPS coordinates are accurate and match the location details.
Conclusion
The SayPro Location Data Schema Template provides a structured approach to ensuring that all classified listings include complete and accurate location metadata. By integrating this schema with SayPro’s location-based search and filtering services, users can efficiently find relevant listings based on geography, proximity, and accessibility.
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