Statements (26)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:analysis
|
| gptkbp:developed_by |
gptkb:John_Geary
|
| gptkbp:first_introduced |
gptkb:1954
|
| https://www.w3.org/2000/01/rdf-schema#label |
Geary's C
|
| gptkbp:is_analyzed_in |
the degree of clustering
|
| gptkbp:is_applicable_to |
categorical data
continuous data |
| gptkbp:is_applied_in |
gptkb:sociology
economics geography |
| gptkbp:is_calculated_as |
(n * sum of squared differences) / (2 * sum of squared deviations)
|
| gptkbp:is_evaluated_by |
pairwise differences in values
|
| gptkbp:is_influenced_by |
sample size
|
| gptkbp:is_often_used_in |
spatial statistics
|
| gptkbp:is_used_in |
gptkb:urban_planning
environmental studies public health research |
| gptkbp:measures |
spatial heterogeneity
|
| gptkbp:range |
0 to 2
|
| gptkbp:related_to |
Moran's I
|
| gptkbp:requires |
a defined spatial weight matrix
|
| gptkbp:sensitivity |
local variations in data
|
| gptkbp:used_for |
measuring spatial autocorrelation
|
| gptkbp:value_interpretation |
values close to 1 indicate random distribution
values less than 1 indicate positive spatial autocorrelation values greater than 1 indicate negative spatial autocorrelation |