iso_spatial_exp: Isotropic spatial simulation by exponential function
In SpatialFloor: Spatial Floor Simulation (Isotropic)
Description
Usage
Arguments
Value
Examples
View source: R/iso_spatial_exp.R
Description
This function load grid floor and generate the var-cov matrix via exponential function
Usage
1
iso_spatial_exp(dist.matrix, nugget, sill, ranges)
Arguments
dist.matrix
the a distance matrix generate from spatial_dist function
nugget
the nugget value of the var-cov function
sill
the sill(variance, sigma^2) of the var-cov function
ranges
the range value of var-cov function
Value
A matrix of var-cov matrix
Examples
1
2
D = spatial_dist(expand.grid(1:5, 1:5))
iso_spatial_exp(D, 0, 3, 1)
Example output
Loading required package: fields
Loading required package: spam
Loading required package: dotCall64
Loading required package: grid
Spam version 2.2-2 (2019-03-07) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.
Attaching package: 'spam'
The following objects are masked from 'package:base':
backsolve, forwardsolve
Loading required package: maps
See https://github.com/NCAR/Fields for
an extensive vignette, other supplements and source code
Loading required package: reshape2
1 2 3 4 5 6 7
1 3.00000000 1.10363832 0.40600585 0.14936121 0.05494692 1.10363832 0.72935020
2 1.10363832 3.00000000 1.10363832 0.40600585 0.14936121 0.72935020 1.10363832
3 0.40600585 1.10363832 3.00000000 1.10363832 0.40600585 0.32063378 0.72935020
4 0.14936121 0.40600585 1.10363832 3.00000000 1.10363832 0.12698766 0.32063378
5 0.05494692 0.14936121 0.40600585 1.10363832 3.00000000 0.04858243 0.12698766
6 1.10363832 0.72935020 0.32063378 0.12698766 0.04858243 3.00000000 1.10363832
7 0.72935020 1.10363832 0.72935020 0.32063378 0.12698766 1.10363832 3.00000000
8 0.32063378 0.72935020 1.10363832 0.72935020 0.32063378 0.40600585 1.10363832
9 0.12698766 0.32063378 0.72935020 1.10363832 0.72935020 0.14936121 0.40600585
10 0.04858243 0.12698766 0.32063378 0.72935020 1.10363832 0.05494692 0.14936121
11 0.40600585 0.32063378 0.17731724 0.08151738 0.03426867 1.10363832 0.72935020
12 0.32063378 0.40600585 0.32063378 0.17731724 0.08151738 0.72935020 1.10363832
13 0.17731724 0.32063378 0.40600585 0.32063378 0.17731724 0.32063378 0.72935020
14 0.08151738 0.17731724 0.32063378 0.40600585 0.32063378 0.12698766 0.32063378
15 0.03426867 0.08151738 0.17731724 0.32063378 0.40600585 0.04858243 0.12698766
16 0.14936121 0.12698766 0.08151738 0.04310879 0.02021384 0.40600585 0.32063378
17 0.12698766 0.14936121 0.12698766 0.08151738 0.04310879 0.32063378 0.40600585
18 0.08151738 0.12698766 0.14936121 0.12698766 0.08151738 0.17731724 0.32063378
19 0.04310879 0.08151738 0.12698766 0.14936121 0.12698766 0.08151738 0.17731724
20 0.02021384 0.04310879 0.08151738 0.12698766 0.14936121 0.03426867 0.08151738
21 0.05494692 0.04858243 0.03426867 0.02021384 0.01048047 0.14936121 0.12698766
22 0.04858243 0.05494692 0.04858243 0.03426867 0.02021384 0.12698766 0.14936121
23 0.03426867 0.04858243 0.05494692 0.04858243 0.03426867 0.08151738 0.12698766
24 0.02021384 0.03426867 0.04858243 0.05494692 0.04858243 0.04310879 0.08151738
25 0.01048047 0.02021384 0.03426867 0.04858243 0.05494692 0.02021384 0.04310879
8 9 10 11 12 13 14
1 0.32063378 0.12698766 0.04858243 0.40600585 0.32063378 0.1773172 0.08151738
2 0.72935020 0.32063378 0.12698766 0.32063378 0.40600585 0.3206338 0.17731724
3 1.10363832 0.72935020 0.32063378 0.17731724 0.32063378 0.4060058 0.32063378
4 0.72935020 1.10363832 0.72935020 0.08151738 0.17731724 0.3206338 0.40600585
5 0.32063378 0.72935020 1.10363832 0.03426867 0.08151738 0.1773172 0.32063378
6 0.40600585 0.14936121 0.05494692 1.10363832 0.72935020 0.3206338 0.12698766
7 1.10363832 0.40600585 0.14936121 0.72935020 1.10363832 0.7293502 0.32063378
8 3.00000000 1.10363832 0.40600585 0.32063378 0.72935020 1.1036383 0.72935020
9 1.10363832 3.00000000 1.10363832 0.12698766 0.32063378 0.7293502 1.10363832
10 0.40600585 1.10363832 3.00000000 0.04858243 0.12698766 0.3206338 0.72935020
11 0.32063378 0.12698766 0.04858243 3.00000000 1.10363832 0.4060058 0.14936121
12 0.72935020 0.32063378 0.12698766 1.10363832 3.00000000 1.1036383 0.40600585
13 1.10363832 0.72935020 0.32063378 0.40600585 1.10363832 3.0000000 1.10363832
14 0.72935020 1.10363832 0.72935020 0.14936121 0.40600585 1.1036383 3.00000000
15 0.32063378 0.72935020 1.10363832 0.05494692 0.14936121 0.4060058 1.10363832
16 0.17731724 0.08151738 0.03426867 1.10363832 0.72935020 0.3206338 0.12698766
17 0.32063378 0.17731724 0.08151738 0.72935020 1.10363832 0.7293502 0.32063378
18 0.40600585 0.32063378 0.17731724 0.32063378 0.72935020 1.1036383 0.72935020
19 0.32063378 0.40600585 0.32063378 0.12698766 0.32063378 0.7293502 1.10363832
20 0.17731724 0.32063378 0.40600585 0.04858243 0.12698766 0.3206338 0.72935020
21 0.08151738 0.04310879 0.02021384 0.40600585 0.32063378 0.1773172 0.08151738
22 0.12698766 0.08151738 0.04310879 0.32063378 0.40600585 0.3206338 0.17731724
23 0.14936121 0.12698766 0.08151738 0.17731724 0.32063378 0.4060058 0.32063378
24 0.12698766 0.14936121 0.12698766 0.08151738 0.17731724 0.3206338 0.40600585
25 0.08151738 0.12698766 0.14936121 0.03426867 0.08151738 0.1773172 0.32063378
15 16 17 18 19 20 21
1 0.03426867 0.14936121 0.12698766 0.08151738 0.04310879 0.02021384 0.05494692
2 0.08151738 0.12698766 0.14936121 0.12698766 0.08151738 0.04310879 0.04858243
3 0.17731724 0.08151738 0.12698766 0.14936121 0.12698766 0.08151738 0.03426867
4 0.32063378 0.04310879 0.08151738 0.12698766 0.14936121 0.12698766 0.02021384
5 0.40600585 0.02021384 0.04310879 0.08151738 0.12698766 0.14936121 0.01048047
6 0.04858243 0.40600585 0.32063378 0.17731724 0.08151738 0.03426867 0.14936121
7 0.12698766 0.32063378 0.40600585 0.32063378 0.17731724 0.08151738 0.12698766
8 0.32063378 0.17731724 0.32063378 0.40600585 0.32063378 0.17731724 0.08151738
9 0.72935020 0.08151738 0.17731724 0.32063378 0.40600585 0.32063378 0.04310879
10 1.10363832 0.03426867 0.08151738 0.17731724 0.32063378 0.40600585 0.02021384
11 0.05494692 1.10363832 0.72935020 0.32063378 0.12698766 0.04858243 0.40600585
12 0.14936121 0.72935020 1.10363832 0.72935020 0.32063378 0.12698766 0.32063378
13 0.40600585 0.32063378 0.72935020 1.10363832 0.72935020 0.32063378 0.17731724
14 1.10363832 0.12698766 0.32063378 0.72935020 1.10363832 0.72935020 0.08151738
15 3.00000000 0.04858243 0.12698766 0.32063378 0.72935020 1.10363832 0.03426867
16 0.04858243 3.00000000 1.10363832 0.40600585 0.14936121 0.05494692 1.10363832
17 0.12698766 1.10363832 3.00000000 1.10363832 0.40600585 0.14936121 0.72935020
18 0.32063378 0.40600585 1.10363832 3.00000000 1.10363832 0.40600585 0.32063378
19 0.72935020 0.14936121 0.40600585 1.10363832 3.00000000 1.10363832 0.12698766
20 1.10363832 0.05494692 0.14936121 0.40600585 1.10363832 3.00000000 0.04858243
21 0.03426867 1.10363832 0.72935020 0.32063378 0.12698766 0.04858243 3.00000000
22 0.08151738 0.72935020 1.10363832 0.72935020 0.32063378 0.12698766 1.10363832
23 0.17731724 0.32063378 0.72935020 1.10363832 0.72935020 0.32063378 0.40600585
24 0.32063378 0.12698766 0.32063378 0.72935020 1.10363832 0.72935020 0.14936121
25 0.40600585 0.04858243 0.12698766 0.32063378 0.72935020 1.10363832 0.05494692
22 23 24 25
1 0.04858243 0.03426867 0.02021384 0.01048047
2 0.05494692 0.04858243 0.03426867 0.02021384
3 0.04858243 0.05494692 0.04858243 0.03426867
4 0.03426867 0.04858243 0.05494692 0.04858243
5 0.02021384 0.03426867 0.04858243 0.05494692
6 0.12698766 0.08151738 0.04310879 0.02021384
7 0.14936121 0.12698766 0.08151738 0.04310879
8 0.12698766 0.14936121 0.12698766 0.08151738
9 0.08151738 0.12698766 0.14936121 0.12698766
10 0.04310879 0.08151738 0.12698766 0.14936121
11 0.32063378 0.17731724 0.08151738 0.03426867
12 0.40600585 0.32063378 0.17731724 0.08151738
13 0.32063378 0.40600585 0.32063378 0.17731724
14 0.17731724 0.32063378 0.40600585 0.32063378
15 0.08151738 0.17731724 0.32063378 0.40600585
16 0.72935020 0.32063378 0.12698766 0.04858243
17 1.10363832 0.72935020 0.32063378 0.12698766
18 0.72935020 1.10363832 0.72935020 0.32063378
19 0.32063378 0.72935020 1.10363832 0.72935020
20 0.12698766 0.32063378 0.72935020 1.10363832
21 1.10363832 0.40600585 0.14936121 0.05494692
22 3.00000000 1.10363832 0.40600585 0.14936121
23 1.10363832 3.00000000 1.10363832 0.40600585
24 0.40600585 1.10363832 3.00000000 1.10363832
25 0.14936121 0.40600585 1.10363832 3.00000000
SpatialFloor documentation built on May 2, 2019, 1:45 p.m.
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Description Usage Arguments Value Examples
View source: R/iso_spatial_exp.R
Description
This function load grid floor and generate the var-cov matrix via exponential function
Usage
1 | iso_spatial_exp(dist.matrix, nugget, sill, ranges)
|
Arguments
dist.matrix |
the a distance matrix generate from spatial_dist function |
nugget |
the nugget value of the var-cov function |
sill |
the sill(variance, sigma^2) of the var-cov function |
ranges |
the range value of var-cov function |
Value
A matrix of var-cov matrix
Examples
1 2 | D = spatial_dist(expand.grid(1:5, 1:5))
iso_spatial_exp(D, 0, 3, 1)
|
Example output
Loading required package: fields
Loading required package: spam
Loading required package: dotCall64
Loading required package: grid
Spam version 2.2-2 (2019-03-07) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.
Attaching package: 'spam'
The following objects are masked from 'package:base':
backsolve, forwardsolve
Loading required package: maps
See https://github.com/NCAR/Fields for
an extensive vignette, other supplements and source code
Loading required package: reshape2
1 2 3 4 5 6 7
1 3.00000000 1.10363832 0.40600585 0.14936121 0.05494692 1.10363832 0.72935020
2 1.10363832 3.00000000 1.10363832 0.40600585 0.14936121 0.72935020 1.10363832
3 0.40600585 1.10363832 3.00000000 1.10363832 0.40600585 0.32063378 0.72935020
4 0.14936121 0.40600585 1.10363832 3.00000000 1.10363832 0.12698766 0.32063378
5 0.05494692 0.14936121 0.40600585 1.10363832 3.00000000 0.04858243 0.12698766
6 1.10363832 0.72935020 0.32063378 0.12698766 0.04858243 3.00000000 1.10363832
7 0.72935020 1.10363832 0.72935020 0.32063378 0.12698766 1.10363832 3.00000000
8 0.32063378 0.72935020 1.10363832 0.72935020 0.32063378 0.40600585 1.10363832
9 0.12698766 0.32063378 0.72935020 1.10363832 0.72935020 0.14936121 0.40600585
10 0.04858243 0.12698766 0.32063378 0.72935020 1.10363832 0.05494692 0.14936121
11 0.40600585 0.32063378 0.17731724 0.08151738 0.03426867 1.10363832 0.72935020
12 0.32063378 0.40600585 0.32063378 0.17731724 0.08151738 0.72935020 1.10363832
13 0.17731724 0.32063378 0.40600585 0.32063378 0.17731724 0.32063378 0.72935020
14 0.08151738 0.17731724 0.32063378 0.40600585 0.32063378 0.12698766 0.32063378
15 0.03426867 0.08151738 0.17731724 0.32063378 0.40600585 0.04858243 0.12698766
16 0.14936121 0.12698766 0.08151738 0.04310879 0.02021384 0.40600585 0.32063378
17 0.12698766 0.14936121 0.12698766 0.08151738 0.04310879 0.32063378 0.40600585
18 0.08151738 0.12698766 0.14936121 0.12698766 0.08151738 0.17731724 0.32063378
19 0.04310879 0.08151738 0.12698766 0.14936121 0.12698766 0.08151738 0.17731724
20 0.02021384 0.04310879 0.08151738 0.12698766 0.14936121 0.03426867 0.08151738
21 0.05494692 0.04858243 0.03426867 0.02021384 0.01048047 0.14936121 0.12698766
22 0.04858243 0.05494692 0.04858243 0.03426867 0.02021384 0.12698766 0.14936121
23 0.03426867 0.04858243 0.05494692 0.04858243 0.03426867 0.08151738 0.12698766
24 0.02021384 0.03426867 0.04858243 0.05494692 0.04858243 0.04310879 0.08151738
25 0.01048047 0.02021384 0.03426867 0.04858243 0.05494692 0.02021384 0.04310879
8 9 10 11 12 13 14
1 0.32063378 0.12698766 0.04858243 0.40600585 0.32063378 0.1773172 0.08151738
2 0.72935020 0.32063378 0.12698766 0.32063378 0.40600585 0.3206338 0.17731724
3 1.10363832 0.72935020 0.32063378 0.17731724 0.32063378 0.4060058 0.32063378
4 0.72935020 1.10363832 0.72935020 0.08151738 0.17731724 0.3206338 0.40600585
5 0.32063378 0.72935020 1.10363832 0.03426867 0.08151738 0.1773172 0.32063378
6 0.40600585 0.14936121 0.05494692 1.10363832 0.72935020 0.3206338 0.12698766
7 1.10363832 0.40600585 0.14936121 0.72935020 1.10363832 0.7293502 0.32063378
8 3.00000000 1.10363832 0.40600585 0.32063378 0.72935020 1.1036383 0.72935020
9 1.10363832 3.00000000 1.10363832 0.12698766 0.32063378 0.7293502 1.10363832
10 0.40600585 1.10363832 3.00000000 0.04858243 0.12698766 0.3206338 0.72935020
11 0.32063378 0.12698766 0.04858243 3.00000000 1.10363832 0.4060058 0.14936121
12 0.72935020 0.32063378 0.12698766 1.10363832 3.00000000 1.1036383 0.40600585
13 1.10363832 0.72935020 0.32063378 0.40600585 1.10363832 3.0000000 1.10363832
14 0.72935020 1.10363832 0.72935020 0.14936121 0.40600585 1.1036383 3.00000000
15 0.32063378 0.72935020 1.10363832 0.05494692 0.14936121 0.4060058 1.10363832
16 0.17731724 0.08151738 0.03426867 1.10363832 0.72935020 0.3206338 0.12698766
17 0.32063378 0.17731724 0.08151738 0.72935020 1.10363832 0.7293502 0.32063378
18 0.40600585 0.32063378 0.17731724 0.32063378 0.72935020 1.1036383 0.72935020
19 0.32063378 0.40600585 0.32063378 0.12698766 0.32063378 0.7293502 1.10363832
20 0.17731724 0.32063378 0.40600585 0.04858243 0.12698766 0.3206338 0.72935020
21 0.08151738 0.04310879 0.02021384 0.40600585 0.32063378 0.1773172 0.08151738
22 0.12698766 0.08151738 0.04310879 0.32063378 0.40600585 0.3206338 0.17731724
23 0.14936121 0.12698766 0.08151738 0.17731724 0.32063378 0.4060058 0.32063378
24 0.12698766 0.14936121 0.12698766 0.08151738 0.17731724 0.3206338 0.40600585
25 0.08151738 0.12698766 0.14936121 0.03426867 0.08151738 0.1773172 0.32063378
15 16 17 18 19 20 21
1 0.03426867 0.14936121 0.12698766 0.08151738 0.04310879 0.02021384 0.05494692
2 0.08151738 0.12698766 0.14936121 0.12698766 0.08151738 0.04310879 0.04858243
3 0.17731724 0.08151738 0.12698766 0.14936121 0.12698766 0.08151738 0.03426867
4 0.32063378 0.04310879 0.08151738 0.12698766 0.14936121 0.12698766 0.02021384
5 0.40600585 0.02021384 0.04310879 0.08151738 0.12698766 0.14936121 0.01048047
6 0.04858243 0.40600585 0.32063378 0.17731724 0.08151738 0.03426867 0.14936121
7 0.12698766 0.32063378 0.40600585 0.32063378 0.17731724 0.08151738 0.12698766
8 0.32063378 0.17731724 0.32063378 0.40600585 0.32063378 0.17731724 0.08151738
9 0.72935020 0.08151738 0.17731724 0.32063378 0.40600585 0.32063378 0.04310879
10 1.10363832 0.03426867 0.08151738 0.17731724 0.32063378 0.40600585 0.02021384
11 0.05494692 1.10363832 0.72935020 0.32063378 0.12698766 0.04858243 0.40600585
12 0.14936121 0.72935020 1.10363832 0.72935020 0.32063378 0.12698766 0.32063378
13 0.40600585 0.32063378 0.72935020 1.10363832 0.72935020 0.32063378 0.17731724
14 1.10363832 0.12698766 0.32063378 0.72935020 1.10363832 0.72935020 0.08151738
15 3.00000000 0.04858243 0.12698766 0.32063378 0.72935020 1.10363832 0.03426867
16 0.04858243 3.00000000 1.10363832 0.40600585 0.14936121 0.05494692 1.10363832
17 0.12698766 1.10363832 3.00000000 1.10363832 0.40600585 0.14936121 0.72935020
18 0.32063378 0.40600585 1.10363832 3.00000000 1.10363832 0.40600585 0.32063378
19 0.72935020 0.14936121 0.40600585 1.10363832 3.00000000 1.10363832 0.12698766
20 1.10363832 0.05494692 0.14936121 0.40600585 1.10363832 3.00000000 0.04858243
21 0.03426867 1.10363832 0.72935020 0.32063378 0.12698766 0.04858243 3.00000000
22 0.08151738 0.72935020 1.10363832 0.72935020 0.32063378 0.12698766 1.10363832
23 0.17731724 0.32063378 0.72935020 1.10363832 0.72935020 0.32063378 0.40600585
24 0.32063378 0.12698766 0.32063378 0.72935020 1.10363832 0.72935020 0.14936121
25 0.40600585 0.04858243 0.12698766 0.32063378 0.72935020 1.10363832 0.05494692
22 23 24 25
1 0.04858243 0.03426867 0.02021384 0.01048047
2 0.05494692 0.04858243 0.03426867 0.02021384
3 0.04858243 0.05494692 0.04858243 0.03426867
4 0.03426867 0.04858243 0.05494692 0.04858243
5 0.02021384 0.03426867 0.04858243 0.05494692
6 0.12698766 0.08151738 0.04310879 0.02021384
7 0.14936121 0.12698766 0.08151738 0.04310879
8 0.12698766 0.14936121 0.12698766 0.08151738
9 0.08151738 0.12698766 0.14936121 0.12698766
10 0.04310879 0.08151738 0.12698766 0.14936121
11 0.32063378 0.17731724 0.08151738 0.03426867
12 0.40600585 0.32063378 0.17731724 0.08151738
13 0.32063378 0.40600585 0.32063378 0.17731724
14 0.17731724 0.32063378 0.40600585 0.32063378
15 0.08151738 0.17731724 0.32063378 0.40600585
16 0.72935020 0.32063378 0.12698766 0.04858243
17 1.10363832 0.72935020 0.32063378 0.12698766
18 0.72935020 1.10363832 0.72935020 0.32063378
19 0.32063378 0.72935020 1.10363832 0.72935020
20 0.12698766 0.32063378 0.72935020 1.10363832
21 1.10363832 0.40600585 0.14936121 0.05494692
22 3.00000000 1.10363832 0.40600585 0.14936121
23 1.10363832 3.00000000 1.10363832 0.40600585
24 0.40600585 1.10363832 3.00000000 1.10363832
25 0.14936121 0.40600585 1.10363832 3.00000000
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