ToolBox 8

Question 1

Calculates a nearest neighbor index based on the average distance from each feature to its nearest neighboring feature.

Answer 1

Average Nearest Neighbor

Question 2

Measures the degree of clustering for either high values or low values using the Getis-Ord General G statistic.

Answer 2

High/Low Clustering

Question 3

Measures spatial autocorrelation based on feature locations and attribute values using the Global Moran’s I statistic.

Answer 3

Spatial Autocorrelation

Question 4

Given a set of weighted features, identifies statistically significant hot spots, cold spots, and spatial outliers using the Anselin Local Moran’s I statistic.

Answer 4

Cluster and Outlier Analysis

Question 5

Given a set of weighted features, identifies statistically significant hot spots and cold spots using the Getis-Ord Gi* statistic.

Answer 5

Hot Spot Analysis

Question 6

Identifies which candidate features are most similar or most dissimilar to one or more input features based on feature attributes.

Answer 6

Similarity Search

Question 7

Identifies the most centrally located feature in a point, line, or polygon feature class.

Answer 7

Central Feature

Question 8

Creates standard deviational ellipses to summarize the spatial characteristics of geographic features: central tendency, dispersion, and directional trends.

Answer 8

Directional Distribution

Question 9

Identifies the geographic center (or the center of concentration) for a set of features.

Answer 9

Mean Center

Question 10

Identifies the location that minimizes overall Euclidean distance to the features in a dataset.

Answer 10

Median Center

Question 11

Measures the degree to which features are concentrated or dispersed around the geometric mean center.

Answer 11

Standard Distance

Question 12

Evaluates all possible combinations of the input candidate explanatory variables, looking for OLS models that best explain the dependent variable within the context of user-specified criteria.

Answer 12

Exploratory Regression

Question 13

Constructs a spatial weights matrix (.swm) file to represent the spatial relationships among features in a dataset.

Answer 13

Generate Spatial Weights Matrix

Question 14

Performs Geographically Weighted Regression (GWR), a local form of linear regression used to model spatially varying relationships.

Answer 14

Geographically Weighted Regression

Question 15

Performs global (OLS) linear regression to generate predictions or to model a dependent variable in terms of its relationships to a set of explanatory variables.

Answer 15

Ordinary Least Squares