Learn Environmental Data Mapping | Real-World Geospatial Projects

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Environmental geospatial datasets play a crucial role in understanding and managing natural and urban environments. These datasets often include information about parks, rivers, green spaces, pollution sources, and other environmental features, each with attributes like location coordinates, type, area, and quality indicators. Analyzing such data allows you to identify patterns, monitor changes, and inform decision-making in urban planning, conservation, and public health.

However, working with environmental datasets can present challenges, such as:

Inconsistent attribute naming;
Varying coordinate reference systems;
Missing or outdated records.

Careful preprocessing and validation are essential for producing reliable and meaningful maps that accurately reflect the environmental situation.


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import geopandas as gpd
import matplotlib.pyplot as plt

# Load parks (protected areas) and rivers datasets from valid GeoJSON URLs
parks_url = "https://raw.githubusercontent.com/datasets/geo-boundaries-world-110m/master/countries.geojson"  # Example: country boundaries as protected areas
rivers_url = "https://raw.githubusercontent.com/nvkelso/natural-earth-vector/master/geojson/ne_10m_rivers_lake_centerlines.geojson"

parks = gpd.read_file(parks_url)
rivers = gpd.read_file(rivers_url)

# Align both datasets to the same CRS (EPSG:4326)
parks = parks.to_crs("EPSG:4326")
rivers = rivers.to_crs("EPSG:4326")

# Plot rivers as blue lines and parks as green polygons
fig, ax = plt.subplots(figsize=(10, 6))
rivers.plot(ax=ax, color="blue", linewidth=1, label="Rivers")
parks.plot(ax=ax, color="green", edgecolor="black", alpha=0.5, label="Parks")
ax.set_title("Environmental Features: Parks and Rivers")
ax.legend()
plt.show()

Data loading

The code loads parks and rivers datasets from public GeoJSON URLs using geopandas.read_file.

CRS alignment

Both datasets are set to the same coordinate reference system (EPSG:4326) to ensure accurate overlay.

Plotting

The code uses matplotlib to plot rivers as blue lines and parks as green points on a single map, adding a title and legend for clarity.

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Section 3. Chapter 2