Lernen Visualizing Maps with GeoPandas | Visualization and Applied Geospatial Analysis

Visualizing geospatial data is a fundamental skill in geospatial data science, enabling you to explore spatial patterns, communicate results, and make informed decisions. With GeoPandas, you can quickly create maps from your spatial datasets and customize their appearance using the powerful plotting capabilities of matplotlib. GeoPandas integrates seamlessly with matplotlib, allowing you to plot points, lines, and polygons directly from a GeoDataFrame. By adjusting colors, edge styles, and overlays, you can highlight important features and make your maps more informative and visually appealing.


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import geopandas as gpd
import matplotlib.pyplot as plt
from shapely.geometry import Polygon

# Create a GeoDataFrame with polygon geometries
polygons = [
    Polygon([(0, 0), (2, 0), (2, 2), (0, 2)]),
    Polygon([(2, 0), (4, 0), (4, 2), (2, 2)]),
    Polygon([(0, 2), (2, 2), (2, 4), (0, 4)]),
]
gdf = gpd.GeoDataFrame({'geometry': polygons, 'name': ['A', 'B', 'C']})

# Plot polygons with custom face colors and edge styles
ax = gdf.plot(
    color=['lightblue', 'lightgreen', 'orange'],
    edgecolor='black',
    linewidth=2,
    linestyle='--'
)
plt.title("Custom Polygon Map")
plt.xlabel("Longitude")
plt.ylabel("Latitude")
plt.show()


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import geopandas as gpd
import matplotlib.pyplot as plt
from shapely.geometry import Polygon, Point

# Create polygon GeoDataFrame
polygons = [
    Polygon([(0, 0), (5, 0), (5, 5), (0, 5)]),
]
gdf_polygons = gpd.GeoDataFrame({'geometry': polygons})

# Create points GeoDataFrame
points = [
    Point(1, 1),
    Point(3, 4),
    Point(4, 2),
]
gdf_points = gpd.GeoDataFrame({'geometry': points, 'label': ['School', 'Hospital', 'Shop']})

# Plot polygons
ax = gdf_polygons.plot(color='lightyellow', edgecolor='black', figsize=(6, 6))

# Overlay points
gdf_points.plot(ax=ax, color='red', marker='o', markersize=80, label='Locations of Interest')

# Annotate points
for x, y, label in zip(gdf_points.geometry.x, gdf_points.geometry.y, gdf_points['label']):
    plt.text(x + 0.1, y, label, fontsize=10)

plt.title("Locations of Interest Overlayed on Polygon Map")
plt.xlabel("Longitude")
plt.ylabel("Latitude")
plt.legend()
plt.show()

1. Which library does GeoPandas use for plotting maps?

2. How can you change the color of features in a GeoPandas plot?

War alles klar?

Danke für Ihr Feedback!

Abschnitt 3. Kapitel 1

Fragen Sie AI

Fragen Sie alles oder probieren Sie eine der vorgeschlagenen Fragen, um unser Gespräch zu beginnen

Suggested prompts:

How can I customize the appearance of the polygons or points further?

Can I add more types of geometries, like lines, to the map?

How do I save the generated map as an image file?

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              1234567891011121314151617181920212223
            
import geopandas as gpd
import matplotlib.pyplot as plt
from shapely.geometry import Polygon

# Create a GeoDataFrame with polygon geometries
polygons = [
    Polygon([(0, 0), (2, 0), (2, 2), (0, 2)]),
    Polygon([(2, 0), (4, 0), (4, 2), (2, 2)]),
    Polygon([(0, 2), (2, 2), (2, 4), (0, 4)]),
]
gdf = gpd.GeoDataFrame({'geometry': polygons, 'name': ['A', 'B', 'C']})

# Plot polygons with custom face colors and edge styles
ax = gdf.plot(
    color=['lightblue', 'lightgreen', 'orange'],
    edgecolor='black',
    linewidth=2,
    linestyle='--'
)
plt.title("Custom Polygon Map")
plt.xlabel("Longitude")
plt.ylabel("Latitude")
plt.show()


              123456789101112131415161718192021222324252627282930313233
            
import geopandas as gpd
import matplotlib.pyplot as plt
from shapely.geometry import Polygon, Point

# Create polygon GeoDataFrame
polygons = [
    Polygon([(0, 0), (5, 0), (5, 5), (0, 5)]),
]
gdf_polygons = gpd.GeoDataFrame({'geometry': polygons})

# Create points GeoDataFrame
points = [
    Point(1, 1),
    Point(3, 4),
    Point(4, 2),
]
gdf_points = gpd.GeoDataFrame({'geometry': points, 'label': ['School', 'Hospital', 'Shop']})

# Plot polygons
ax = gdf_polygons.plot(color='lightyellow', edgecolor='black', figsize=(6, 6))

# Overlay points
gdf_points.plot(ax=ax, color='red', marker='o', markersize=80, label='Locations of Interest')

# Annotate points
for x, y, label in zip(gdf_points.geometry.x, gdf_points.geometry.y, gdf_points['label']):
    plt.text(x + 0.1, y, label, fontsize=10)

plt.title("Locations of Interest Overlayed on Polygon Map")
plt.xlabel("Longitude")
plt.ylabel("Latitude")
plt.legend()
plt.show()

1. Which library does GeoPandas use for plotting maps?

2. How can you change the color of features in a GeoPandas plot?

War alles klar?

Danke für Ihr Feedback!

Abschnitt 3. Kapitel 1