Simulated Data Example

This example demonstrates how to create and use simulated geospatial data with PyMapGIS. It shows how to generate a GeoDataFrame with random point data and then visualize it.

Description

The script simulated_data_example.py performs the following steps:

1. Imports Libraries: Imports pymapgis, geopandas, numpy, pandas, and shapely.geometry.
2. Generates Simulated Data:
   • Defines the number of points to create.
   • Generates random latitude and longitude coordinates within a bounding box (approximating part of Los Angeles).
   • Generates random attribute data (e.g., temperature and humidity).
   • Creates Shapely Point objects from the coordinates.
   • Constructs a GeoPandas GeoDataFrame from the points and attributes, assigning a CRS (Coordinate Reference System).
3. Displays Data Information: Prints the head of the GeoDataFrame and its CRS.
4. Visualizes Data: Creates a scatter plot of the simulated points, where the color of the points represents the ‘temperature’ attribute. The map includes a title, legend, and tooltips.

How to Run

1. Ensure PyMapGIS and its dependencies (GeoPandas, NumPy, Pandas, Shapely, Matplotlib) are installed:

   pip install pymapgis geopandas numpy pandas shapely matplotlib
   

2. Navigate to this directory:

   cd examples/simulated_data_example
   

3. Run the script:

   python simulated_data_example.py
   

This will print information about the generated data and then display a map visualizing the simulated temperature points.