Howtosignalprocessing
A negative spatial autocorrelation occurs when Moran's I value is -1. A checkerboard is a good example of negative auto-correlation because dissimilar values are next to each other.
- What does negative spatial autocorrelation mean?
- What does positive spatial autocorrelation mean?
- What does a negative Moran's I mean?
- What does spatial autocorrelation tell us?
What does negative spatial autocorrelation mean?
Negative spatial autocorrelation refers to a geographic distribution of values, or a map pattern, in which the neighbors of locations with large values have small values, the neighbors of locations with intermediate values have intermediate values, and the neighbors of locations with small values have large values.
What does positive spatial autocorrelation mean?
Positive spatial autocorrelation means that geographically nearby values of a variable tend to be similar on a map: high values tend to be located near high values, medium values near medium values, and low values near low values.
What does a negative Moran's I mean?
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.
What does spatial autocorrelation tell us?
Measures of spatial autocorrelation describe the degree two which observations (values) at spatial locations (whether they are points, areas, or raster cells), are similar to each other.
