Docs user guide#496
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New notebooks: Getis-Ord G/G_i* hotspot analysis, Geary's C (global and local), Getting Started overview. New Spatial Clustering section moves A-DBSCAN out of Diagnostics. All section landing pages now include method-choice guidance. Added learning goals and takeaways to correlogram, LOSH, and topo notebooks for consistency.
for more information, see https://pre-commit.ci
Codecov Report❌ Patch coverage is
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+ Coverage 85.8% 86.2% +0.3%
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Files 27 28 +1
Lines 3625 3702 +77
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+ Hits 3112 3191 +79
+ Misses 513 511 -2
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Superb job!
Some of these notes are not entirely related to these changes but I noticed the while reviewing.
There's a bunch of warnings in the adbscan notebook about missing Numba. We should use the env with Numba to build the docs imho.
The LOSH notebook has a formula under Inference on the LOSH statistic section that does not render correctly. Not even locally in VS Code.
It seems that the linting/pre-commit does not pick unsorted imports in notebooks (e.g. correlograp.ipynb, cc @jGaboardi) edit: now I see the failing pre-commit...
The Berlin data in the Geary notebook require a ton of preprocessing... since we host it, can we host pre-processed version, if we want to stick to the data? joins, sjoins, renames... it is just noise in those notebooks.
When doing new notebooks, can we use Graph?
Having local C and local G under Global autocorrelation is a bit strange, not sure if split to global-local is optimal structure in this context. I like that it is in the same notebook, so maybe combining local and global sections to one?
for more information, see https://pre-commit.ci
New notebooks: Getis-Ord G/G_i* hotspot analysis, Geary's C (global
and local), Getting Started overview. New Spatial Clustering section
moves A-DBSCAN out of Diagnostics. Proposing example section landing pages to now include
method-choice guidance. Added learning goals and takeaways to
correlogram, LOSH, and topo notebooks for consistency.