Data Visualization with GIS Integration

[dhrumilp12]

Objective: Implement interactive maps and dashboards to visualize environmental data. Tasks:

• [x] Integrate GIS using Leaflet or Google Maps API for mapping functionalities.
• [x] Develop dynamic dashboards to display data trends and statistics.
• [x] Create filters for viewing data based on different criteria (date, type of issue).

[dhrumilp12]

Review of Backend Capabilities for Dashboards:

Data Creation, Modification, and Deletion:

• Your API allows users to post new environmental data, update existing records, and delete records they own. This ensures that the data used in the dashboard is current and accurate.

Data Retrieval with Filtering:

• The GET /data endpoint supports querying the data by date and pollution levels. This is essential for dashboards that need to display trends over time or statistics based on certain criteria.

User Authentication:

• Routes are protected with JWT-based authentication, ensuring that operations like posting, updating, and deleting data are secured and user-specific.

[dhrumilp12]

1. Aggregation Endpoint: Provides summarized environmental statistics, which are useful for dashboard displays.

2. Caching: Implements simple in-memory caching to store and retrieve the results of database queries. This reduces the number of times you need to query the database for frequently requested data.

[dhrumilp12]

"type" field to environmentalData schema to categorize the environmental data, for instance, "Air Quality", "Water Pollution", "Noise Levels", etc.