uses a mono repo
Getis-Ord Gi* statistic, is used to measure spatial autocorrelation and identify hot-spots (clusters of high attribute levels) and cold-spots (clusters of low attribute levels) with varying of significance. Getis-Ord Gi* statistic, is used to measure spatial autocorrelation and identify hot-spots (clusters of high attribute levels) and cold-spots (clusters of low attribute levels) with varying.
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| Visual you run["python main.py"] | Visual you run["python app.py" or "flask run"] |
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COMING SOON |
Local Moran’s I is a local spatial autocorrelation statistic proposed by Anselin as a way to identify local clusters and outliers. In python this function is realized by the Cluster and Outlier Analysis (Anselin Local Moran’s I) tool.
| Visual you run["python main.py"] | Visual you run["python app.py" or "flask run"] |
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