Topological spatial autocorrelation analysis
Project description
spatial_autocorrelation
Performing Moran's I to conduct correlation analysis on topological relationship.
In statistics, Moran's I is a measure of spatial autocorrelation developed by Patrick Alfred Pierce Moran. Spatial autocorrelation is characterized by a correlation in a signal among nearby locations in space. Spatial autocorrelation is more complex than one-dimensional autocorrelation because spatial correlation is multi-dimensional (i.e. 2 or 3 dimensions of space) and multi-directional.[1]
From the example.py, you can see how the values of blocks are correlated with the values of neighbours spatially
Reference(s): [1] https://en.wikipedia.org/wiki/Moran%27s_I [2] https://www.statology.org/morans-i/ [3] https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/h-how-spatial-autocorrelation-moran-s-i-spatial-st.htm
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hashes for spatial_autocorrelation-0.0.1a0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | d57ad7419f91b7730a9511f2bf047dd8dfe1d2c3c36245927bc26f55d25a55dc |
|
MD5 | d14186995b78b3641082dfa9b9b795d6 |
|
BLAKE2b-256 | 0abbe0df91f0a0149aef1d33cffc06175ab061987a5006b5543f5acaa1a80e2a |