Moran's I is a statistic used in geographic analysis to measure what?

Moran's I is a statistic used in geographic analysis to measure what?

• A. The degree of spatial autocorrelation, indicating clustering or dispersion of similar values.
• B. The total land area of a region.
• C. The average income level across cities.
• D. The number of rivers in a watershed.

Answer: (A)

Spatial autocorrelation is about whether nearby locations tend to have similar values. Moran's I quantifies this pattern by comparing the value of a variable at one location with the values at neighboring locations (weighted by how close they are). If nearby places share similar values, Moran's I is positive and relatively large, showing clustering of like values. If nearby values tend to differ, Moran's I is negative, indicating dispersion. If there’s no consistent spatial pattern, it’s near zero. So Moran's I measures the degree of spatial autocorrelation, indicating clustering or dispersion of similar values. It’s not a measure of total land area, average income, or the number of rivers, which are simply quantities at locations rather than the way those values relate across space.

Spatial autocorrelation is about whether nearby locations tend to have similar values. Moran's I quantifies this pattern by comparing the value of a variable at one location with the values at neighboring locations (weighted by how close they are). If nearby places share similar values, Moran's I is positive and relatively large, showing clustering of like values. If nearby values tend to differ, Moran's I is negative, indicating dispersion. If there’s no consistent spatial pattern, it’s near zero. So Moran's I measures the degree of spatial autocorrelation, indicating clustering or dispersion of similar values. It’s not a measure of total land area, average income, or the number of rivers, which are simply quantities at locations rather than the way those values relate across space.