github.com/gopherd/gonum@v0.0.4/stat/spatial/spatial_example_test.go (about) 1 // Copyright ©2017 The Gonum Authors. All rights reserved. 2 // Use of this source code is governed by a BSD-style 3 // license that can be found in the LICENSE file. 4 5 package spatial_test 6 7 import ( 8 "fmt" 9 10 "github.com/gopherd/gonum/mat" 11 "github.com/gopherd/gonum/stat/spatial" 12 ) 13 14 func ExampleGlobalMoransI_linear() { 15 data := []float64{0, 0, 0, 1, 1, 1, 0, 1, 0, 0} 16 17 // The locality here describes spatial neighbor 18 // relationships. 19 locality := mat.NewDense(10, 10, []float64{ 20 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 21 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 22 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 23 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 24 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 25 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 26 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 27 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 28 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 29 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 30 }) 31 32 i, _, z := spatial.GlobalMoransI(data, nil, locality) 33 34 fmt.Printf("Moran's I=%.4v z-score=%.4v\n", i, z) 35 36 // Output: 37 // 38 // Moran's I=0.1111 z-score=0.6335 39 } 40 41 func ExampleGlobalMoransI_banded() { 42 data := []float64{0, 0, 0, 1, 1, 1, 0, 1, 0, 0} 43 44 // The locality here describes spatial neighbor 45 // relationships. 46 // This example uses the band matrix representation 47 // to improve time and space efficiency. 48 locality := mat.NewBandDense(10, 10, 1, 1, []float64{ 49 0, 0, 1, 50 1, 0, 1, 51 1, 0, 1, 52 1, 0, 1, 53 1, 0, 1, 54 1, 0, 1, 55 1, 0, 1, 56 1, 0, 1, 57 1, 0, 1, 58 1, 0, 0, 59 }) 60 61 i, _, z := spatial.GlobalMoransI(data, nil, locality) 62 63 fmt.Printf("Moran's I=%.4v z-score=%.4v\n", i, z) 64 65 // Output: 66 // 67 // Moran's I=0.1111 z-score=0.6335 68 } 69 70 func ExampleGetisOrdGStar() { 71 data := []float64{0, 0, 0, 1, 1, 1, 0, 1, 0, 0} 72 73 // The locality here describes spatial neighbor 74 // relationships including self. 75 locality := mat.NewDense(10, 10, []float64{ 76 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 78 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 79 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 80 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 81 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 82 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 83 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 84 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 85 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 86 }) 87 88 for i, v := range data { 89 fmt.Printf("v=%v G*i=% .4v\n", v, spatial.GetisOrdGStar(i, data, nil, locality)) 90 } 91 92 // Output: 93 // 94 // v=0 G*i=-1.225 95 // v=0 G*i=-1.604 96 // v=0 G*i=-0.2673 97 // v=1 G*i= 1.069 98 // v=1 G*i= 2.405 99 // v=1 G*i= 1.069 100 // v=0 G*i= 1.069 101 // v=1 G*i=-0.2673 102 // v=0 G*i=-0.2673 103 // v=0 G*i=-1.225 104 } 105 106 func ExampleGetisOrdGStar_banded() { 107 data := []float64{0, 0, 0, 1, 1, 1, 0, 1, 0, 0} 108 109 // The locality here describes spatial neighbor 110 // relationships including self. 111 // This example uses the band matrix representation 112 // to improve time and space efficiency. 113 locality := mat.NewBandDense(10, 10, 1, 1, []float64{ 114 0, 1, 1, 115 1, 1, 1, 116 1, 1, 1, 117 1, 1, 1, 118 1, 1, 1, 119 1, 1, 1, 120 1, 1, 1, 121 1, 1, 1, 122 1, 1, 1, 123 1, 1, 0, 124 }) 125 126 for i, v := range data { 127 fmt.Printf("v=%v G*i=% .4v\n", v, spatial.GetisOrdGStar(i, data, nil, locality)) 128 } 129 130 // Output: 131 // 132 // v=0 G*i=-1.225 133 // v=0 G*i=-1.604 134 // v=0 G*i=-0.2673 135 // v=1 G*i= 1.069 136 // v=1 G*i= 2.405 137 // v=1 G*i= 1.069 138 // v=0 G*i= 1.069 139 // v=1 G*i=-0.2673 140 // v=0 G*i=-0.2673 141 // v=0 G*i=-1.225 142 }