What does spatial autocorrelation measure, and what does Moran's I quantify?

What does spatial autocorrelation measure, and what does Moran's I quantify?

• A. It measures whether similar values cluster in space; Moran's I quantifies the degree of clustering or dispersion.
• B. It measures annual rainfall; Moran's I forecasts future temperatures.
• C. It measures population growth rate; Moran's I compares urban to rural areas.
• D. It measures the accuracy of map projections; Moran's I evaluates sampling bias.

Answer: (A)

Spatial autocorrelation looks at whether values of a variable are organized in space, specifically whether similar values tend to be near each other. Moran's I is the global index that quantifies how strong that pattern is—whether there’s clustering of similar values (positive autocorrelation) or clustering of dissimilar values (negative autocorrelation), or no clear pattern (about zero). In practical terms, a high positive Moran's I means nearby locations share similar values, while a negative value indicates nearby locations are more different from each other. The other options describe topics like rainfall, temperature forecasting, population growth, map projections, or sampling bias, which are not what spatial autocorrelation or Moran's I measure.

Spatial autocorrelation looks at whether values of a variable are organized in space, specifically whether similar values tend to be near each other. Moran's I is the global index that quantifies how strong that pattern is—whether there’s clustering of similar values (positive autocorrelation) or clustering of dissimilar values (negative autocorrelation), or no clear pattern (about zero). In practical terms, a high positive Moran's I means nearby locations share similar values, while a negative value indicates nearby locations are more different from each other. The other options describe topics like rainfall, temperature forecasting, population growth, map projections, or sampling bias, which are not what spatial autocorrelation or Moran's I measure.