Chapter 20: Extending DisSModel¶
Part III — Discrete Spatial Modeling
Learning Objectives¶
By the end of this chapter you will be able to:
- Create custom substrates beyond vector and raster
- Write plugins and contribute to the ecosystem
- Integrate DisSModel with TensorFlow/PyTorch for hybrid models
{note}
Forward-looking chapter — keep speculative sections clearly marked.
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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
Custom Substrates¶
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# Code for section: Custom Substrates
# Code for section: Custom Substrates
Writing a Plugin¶
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# Code for section: Writing a Plugin
# Code for section: Writing a Plugin
Contributing to DisSModel¶
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# Code for section: Contributing to DisSModel
# Code for section: Contributing to DisSModel
Hybrid Models: DisSModel + Deep Learning¶
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# Code for section: Hybrid Models: DisSModel + Deep Learning
# Code for section: Hybrid Models: DisSModel + Deep Learning
Where the Framework Is Heading¶
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# Code for section: Where the Framework Is Heading
# Code for section: Where the Framework Is Heading
Further Reading¶
- TODO: add references.