Statements (40)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical measure
|
| gptkbp:evaluates |
pairwise differences
clustering patterns |
| https://www.w3.org/2000/01/rdf-schema#label |
Geary's C
|
| gptkbp:influenced |
sample size
data distribution spatial scale |
| gptkbp:is_a |
nan
|
| gptkbp:is_a_tool_for |
land use planning
policy making resource management environmental assessment regional analysis |
| gptkbp:is_evaluated_by |
geospatial data
|
| gptkbp:is_part_of |
spatial statistics
|
| gptkbp:is_popular_among |
gptkb:Geographic_Information_Systems_(GIS)
p-values |
| gptkbp:is_used_in |
sociology
urban planning ecological studies public health studies crime analysis real estate analysis measuring spatial autocorrelation |
| gptkbp:measures |
spatial heterogeneity
|
| gptkbp:produces |
gptkb:John_Geary
|
| gptkbp:range |
0 to 2
|
| gptkbp:related_to |
K-function
Moran's_I |
| gptkbp:relatedTo |
observed and expected values
|
| gptkbp:sensors |
local variations
|
| gptkbp:suitableFor |
economics
geography environmental science categorical data continuous data |
| gptkbp:uses |
weights matrix
|
| gptkbp:values |
values close to 1 indicate random distribution
values less than 1 indicate positive spatial autocorrelation values greater than 1 indicate negative spatial autocorrelation |