<｜begin▁of▁sentence｜>### Instruction:
As a Remote Sensing Scientist utilizing satellite imagery, you're tasked with analyzing land use patterns in a specific region. Imagine you're examining a rectangular agricultural field, characterized by its center coordinates, width, and height. Additionally, you have a data point representing a location outside this field, obtained through remote sensing.

Now, you need to determine the point where a line originating from this external location intersects with the boundary of the rectangular field. This calculation is crucial for understanding potential encroachments or assessing the impact of land use practices on neighboring areas. To achieve this, you may utilize geometric algorithms or libraries like NetworkX to compute the intersection point accurately.
### Response:
from igraph.drawing.shapes import RectangleDrawer

# Define the center, width, and height of the rectangle
center_x, center_y = 5, 5
width, height = 10, 8

# Define the source point from which the line is drawn
source_x, source_y = 1, 1

# Create a RectangleDrawer instance
rect_drawer = RectangleDrawer(None)

# Calculate the intersection point
intersection = rect_drawer.intersection_point(
    center_x, center_y, width, height,
    source_x, source_y
)

print('The intersection point is:', intersection)
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