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Table 3 ANOVA F statistics for Augsburg and Meitingen

From: A spatial obesity risk score for describing the obesogenic environment using kernel density estimation: development and parameter variation

Augsburg

Meitingen

Scenarioa

F statisticb

Scenarioa

F statisticb

BW1

871

BW1

1460

BW2

1095

BW2

3014

BW3 (BC)

1135

BW3 (BC)

4531

BW4

848

BW4

4779

BW5

657

BW5

4079

EC1 (BC)

1135

EC1 (BC)

4531

EC2

956

EC2

8372

EC3

724

EC3

9158

EC4

854

EC4

7047

EC5

1156

EC5

7912

GP1 (BC)

1135

GP1 (BC)

4531

GP2

1495

GP2

4293

GP3

1398

GP3

4530

INT1 (BC)

1135

INT1 (BC)

4531

INT2

1274

INT2

4628

INT3

1121

INT3

4306

INT4

875

INT4

6

WT1 (BC)

1135

WT1 (BC)

4531

WT2

1180

WT2

4335

  1. BC Base case, BW Bandwidth, EC Edge correction, GP Grid points, INT Interpolation, WT Weighting
  2. a bandwidth, edge correction, and number of grid points presented in ascending order, i.e., with the first scenario describing the least amount of bandwidth, edge correction, and number of grid points respectively
  3. b The F statistic refers to the ANOVA F statistic between the groups of estimated data points at the 50 evaluation points for a given area (1000 data points at each evaluation point), calculated as follows: F = between-group variability/within-group variability; higher values of the F statistic reflect more preferable parameter values for a given scenario. The groups are generated based on the POI bootstrap replications