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// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package spatial_test
import (
"fmt"
"gonum.org/v1/gonum/mat"
"gonum.org/v1/gonum/stat/spatial"
)
func ExampleGlobalMoransI_linear() {
data := []float64{0, 0, 0, 1, 1, 1, 0, 1, 0, 0}
// The locality here describes spatial neighbor
// relationships.
locality := mat.NewDense(10, 10, []float64{
0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
1, 0, 1, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 1, 0, 0, 0, 0, 0,
0, 0, 0, 1, 0, 1, 0, 0, 0, 0,
0, 0, 0, 0, 1, 0, 1, 0, 0, 0,
0, 0, 0, 0, 0, 1, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 1, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 1,
0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
})
i, _, z := spatial.GlobalMoransI(data, nil, locality)
fmt.Printf("Moran's I=%.4v z-score=%.4v\n", i, z)
// Output:
//
// Moran's I=0.1111 z-score=0.6335
}
func ExampleGlobalMoransI_banded() {
data := []float64{0, 0, 0, 1, 1, 1, 0, 1, 0, 0}
// The locality here describes spatial neighbor
// relationships.
// This example uses the band matrix representation
// to improve time and space efficiency.
locality := mat.NewBandDense(10, 10, 1, 1, []float64{
0, 0, 1,
1, 0, 1,
1, 0, 1,
1, 0, 1,
1, 0, 1,
1, 0, 1,
1, 0, 1,
1, 0, 1,
1, 0, 1,
1, 0, 0,
})
i, _, z := spatial.GlobalMoransI(data, nil, locality)
fmt.Printf("Moran's I=%.4v z-score=%.4v\n", i, z)
// Output:
//
// Moran's I=0.1111 z-score=0.6335
}
func ExampleGetisOrdGStar() {
data := []float64{0, 0, 0, 1, 1, 1, 0, 1, 0, 0}
// The locality here describes spatial neighbor
// relationships including self.
locality := mat.NewDense(10, 10, []float64{
1, 1, 0, 0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 0, 0, 0, 0, 0, 0, 0,
0, 1, 1, 1, 0, 0, 0, 0, 0, 0,
0, 0, 1, 1, 1, 0, 0, 0, 0, 0,
0, 0, 0, 1, 1, 1, 0, 0, 0, 0,
0, 0, 0, 0, 1, 1, 1, 0, 0, 0,
0, 0, 0, 0, 0, 1, 1, 1, 0, 0,
0, 0, 0, 0, 0, 0, 1, 1, 1, 0,
0, 0, 0, 0, 0, 0, 0, 1, 1, 1,
0, 0, 0, 0, 0, 0, 0, 0, 1, 1,
})
for i, v := range data {
fmt.Printf("v=%v G*i=% .4v\n", v, spatial.GetisOrdGStar(i, data, nil, locality))
}
// Output:
//
// v=0 G*i=-1.225
// v=0 G*i=-1.604
// v=0 G*i=-0.2673
// v=1 G*i= 1.069
// v=1 G*i= 2.405
// v=1 G*i= 1.069
// v=0 G*i= 1.069
// v=1 G*i=-0.2673
// v=0 G*i=-0.2673
// v=0 G*i=-1.225
}
func ExampleGetisOrdGStar_banded() {
data := []float64{0, 0, 0, 1, 1, 1, 0, 1, 0, 0}
// The locality here describes spatial neighbor
// relationships including self.
// This example uses the band matrix representation
// to improve time and space efficiency.
locality := mat.NewBandDense(10, 10, 1, 1, []float64{
0, 1, 1,
1, 1, 1,
1, 1, 1,
1, 1, 1,
1, 1, 1,
1, 1, 1,
1, 1, 1,
1, 1, 1,
1, 1, 1,
1, 1, 0,
})
for i, v := range data {
fmt.Printf("v=%v G*i=% .4v\n", v, spatial.GetisOrdGStar(i, data, nil, locality))
}
// Output:
//
// v=0 G*i=-1.225
// v=0 G*i=-1.604
// v=0 G*i=-0.2673
// v=1 G*i= 1.069
// v=1 G*i= 2.405
// v=1 G*i= 1.069
// v=0 G*i= 1.069
// v=1 G*i=-0.2673
// v=0 G*i=-0.2673
// v=0 G*i=-1.225
}
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