Chapter 9: Spatial Relationships and Weights¶

Part II — Geographic Data Science

Learning Objectives¶

By the end of this chapter you will be able to:

• Compute distance metrics and contiguity-based weights
• Use libpysal to build spatial neighborhood structures
• Prepare neighborhoods for simulation models

{note}
Directly motivates CellularAutomaton.create_neighborhood() in Part III.

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# Standard imports — add chapter-specific imports below
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Standard imports — add chapter-specific imports below import numpy as np import pandas as pd import matplotlib.pyplot as plt

Distance and Proximity¶

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# Code for section: Distance and Proximity

# Code for section: Distance and Proximity

Contiguity Weights: Queen and Rook¶

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# Code for section: Contiguity Weights: Queen and Rook

# Code for section: Contiguity Weights: Queen and Rook

libpysal Weights Objects¶

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# Code for section: libpysal Weights Objects

# Code for section: libpysal Weights Objects

Caching Neighborhoods for Performance¶

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# Code for section: Caching Neighborhoods for Performance

# Code for section: Caching Neighborhoods for Performance

From Weights to Simulation Neighbors¶

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# Code for section: From Weights to Simulation Neighbors

# Code for section: From Weights to Simulation Neighbors

Exercises¶

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# Code for section: Exercises

# Code for section: Exercises

Summary¶

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Key concepts introduced¶

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Further Reading¶

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