Introduction:
Mapping spatial data is essential for various industries and applications, enabling visualization and analysis of geographic information. In this report, we will discuss the process of creating a map using polygon datasets through PostgreSQL, a powerful open-source relational database management system. The process involves preparing the dataset, storing it in PostgreSQL, setting up a dashboard using Orchestra Cities Map plugin, and visualizing data in Grafana.
Pre-requisites:
1. Install PostGIS: Open Application Stack Builder.Connect your server to application stack builder & Install PostGIS extension on your PostgreSQL database from spatial extension.
Run the command in PostgreSQL Database to create postgis extension.
2. Install Orchestra Cities Map Plugin: - Install the Orchestra Cities Map plugin in Grafana. This plugin allows integration with external mapping services for visualization.
Create a Map using USA States Polygon Dataset:
Process:
1. Prepare Polygon Dataset: - Create a polygon dataset in a CSV file ensuring it is in the correct format with columns representing necessary attributes and geometry information.
2. Create PostgreSQL Table: - Install PosConnect to your PostgreSQL database. Create a table with appropriate columns to store the polygon dataset. Use the CREATE TABLE statement to define the table structure.
3. Import Data into PostgreSQL: - Import the polygon dataset from the CSV file into the PostgreSQL table.
4 . Create Dashboard with Orchestra Cities Map: - Design a dashboard in Grafana. Add Orchestra Cities Map panel to the dashboard. Configure the panel to visualize the polygon dataset stored in PostgreSQL.
5. Write SQL Query for Grafana: - Write SQL queries to retrieve data from the PostgreSQL table. Configure Grafana to connect to the PostgreSQL database. Use the SQL query in Grafana to fetch data for visualization.
6. Create Marker Layers: - In Grafana, create marker layers to represent specific data points. Select the column containing data in GeoJSON format as the location column for the marker layer. Customize markers based on geolocations or other attributes as required.
Final Output:
