基于线性GSI二维半变异函数各向异性结构建模及估计研究——以DEM数据为例
|
|
高歆
|
Anisotropic modeling and estimation for a two-dimensional semi-variogram based on the linear GSI Model: Taking DEM data as an example
|
|
GAO Xin
|
|
表2 六个区域GSI模型相关参数估计结果
|
Tab. 2 The estimates of the related parameters in the GSI model for the six regions
|
|
| 研究数据 | 最小基台(m2) | 最大变程(m) | 圆尺度(m) | c | e | f | Rc2 | Re2 | Rf2 | | 区域1 | 1556 | 678.61 | 410.37 | -0.1972 | -0.1696 | 0.1924 | 0.9987 | 0.9999 | 0.9968 | 区域2
| 6234
| 1093.35
| 572.31 | 0.1011 | -0.4123 | -0.2226 | 0.9997 | 1.0000 | 0.9996 | | 923.18 | 0.2017 | -0.8014 | -0.4199 | 0.9991 | 0.9997 | 0.9990 | | 区域3 | 13678 | 2122.37 | 232.70 | 0.1172 | -0.2011 | -0.2056 | 0.9956 | 0.9987 | 0.9885 | | 区域4 | 4197 | 1261.67 | 199.14 | -0.2703 | -0.1836 | 0.1915 | 0.9907 | 0.9986 | 0.9927 | | 区域5 | 79592 | 4213.85 | 29.48 | -0.0029 | -0.3980 | -0.1945 | 0.9995 | 0.9993 | 1.0000 | | 区域6 | 15001 | 4423.97 | 49.58 | -0.1761 | -0.4026 | -0.0979 | 1.0000 | 0.9991 | 0.9981 |
|
|
|