## How do you interpret Moran statistics?

Table of Contents

## How do you interpret Moran statistics?

If the values in the dataset tend to cluster spatially (high values cluster near other high values; low values cluster near other low values), the Moran’s Index will be positive. When high values repel other high values, and tend to be near low values, the Index will be negative.

### How do you read local Moran?

Interpretation. A positive value for I indicates that a feature has neighboring features with similarly high or low attribute values; this feature is part of a cluster. A negative value for I indicates that a feature has neighboring features with dissimilar values; this feature is an outlier.

#### What does a Moran?

A member of the warrior group of the Masai people of East Africa, which comprises the younger unmarried males. ‘On this belt of a moran (initiated young man), the beadworker, probably the young man’s mother, has masterfully played with the color combinations to create a beautiful design. ‘

**What does a Moran plot show?**

The Moran scatter plot, first outlined in Anselin (1996), consists of a plot with the spatially lagged variable on the y-axis and the original variable on the x-axis. The slope of the linear fit to the scatter plot equals Moran’s I. We consider a variable z, given in deviations from the mean.

**How do you read Geary C?**

The theoretical expected value for Geary’s c is 1. A value of Geary’s c less than 1 indicates positive spatial autocorrelation, while a value larger than 1 points to negative spatial autocorrelation.

## What is local Moran?

Local Moran’s I is a local spatial autocorrelation statistic that identifies local clusters or local outliers to understand their contribution to the ‘global’ clustering statistic. It was developed by Anselin (1995) as a class of local indicators called Local Indicators of Spatial Association (LISAs).

### What is a high-low cluster?

The High/Low Clustering (Getis-Ord General G) tool is an inferential statistic, which means that the results of the analysis are interpreted within the context of the null hypothesis. The null hypothesis for the High/Low Clustering (General G) statistic states that there is no spatial clustering of feature values.

#### What does a Moran test show?

Moran’s I is a correlation coefficient that measures the overall spatial autocorrelation of your data set. In other words, it measures how one object is similar to others surrounding it. If objects are attracted (or repelled) by each other, it means that the observations are not independent.

**What is a Moran test?**

Description. Moran’s test for spatial autocorrelation using a spatial weights matrix in weights list form. The assumptions underlying the test are sensitive to the form of the graph of neighbour relationships and other factors, and results may be checked against those of moran.mc permutations.

**What is Getis Ord statistic?**

Gi (Getis and Ord, 1992) statistics are the ratio of the sum of values in neighbouring locations, defined by a given distance, to the sum over all observations. A global variation can be calculated with the Getis-Ord Global G tool.