public void Interpolate_UniversalKriging()
{
string pointDataset = "SamplesP@Interpolation";
InterpolationKrigingParameter param = new InterpolationKrigingParameter();
param.PixelFormat = PixelFormat.BIT16;
param.ZValueFieldName = "AVG_TMP";
param.ZValueScale = 1;
param.Resolution = 3000;
param.OutputDatasetName = "interpolateUniversalKriging";
param.OutputDatasourceName = "Interpolation";
param.SearchRadius = 0;
param.Angle = 0;
param.Nugget = 0;
param.Range = 0;
param.Sill = 0;
param.VariogramMode = VariogramMode.SPHERICAL;
param.SearchMode = SearchMode.KDTREE_FIXED_RADIUS;
param.SearchRadius = 0;
param.Exponent = Exponent.EXP1;//泛克吕金插值法参数
param.Type = KrigingAlgorithmType.UniversalKriging;
string serviceUrl = string.Format("http://{0}:8090/iserver/services/spatialanalyst-sample/restjsr", ip);
SpatialAnalyst spatialAnalyst = new SpatialAnalyst(serviceUrl);
DatasetSpatialAnalystResult actualResult = spatialAnalyst.Interpolate(pointDataset, param);
Assert.IsTrue(actualResult.Succeed);
//查询生成的栅格数据集信息
string[] names = actualResult.Dataset.Split(new char[1] { '@' }, 3);
string[] datasetNames = new string[1] { names[1] + ":" + names[0] };
DatasetGridInfo datainfo = (DatasetGridInfo)spatialAnalyst.GetDatasetInfo(names[1], names[0]);
Assert.AreEqual(DatasetType.GRID, datainfo.Type);
Assert.AreEqual(PixelFormat.BIT16, datainfo.PixelFormat);
//删除生成的栅格数据集
string dataUrl = string.Format("http://{0}:8090/iserver/services/data-sample/rest", ip);
Data data = new Data(dataUrl);
bool deleteResult = data.DeleteDataset(names[1], names[0]);
Assert.IsTrue(deleteResult);
}
public void Interpolate_PointDatasetError()
{
try
{
string pointDataset = "SamplesP99@Interpolation";
InterpolationKrigingParameter param = new InterpolationKrigingParameter();
param.PixelFormat = PixelFormat.BIT16;
param.ZValueFieldName = "AVG_TMP";
param.ZValueScale = 1;
param.Resolution = 3000;
param.OutputDatasetName = "interpolateUniversalKriging";
param.OutputDatasourceName = "Interpolation";
param.SearchRadius = 0;
param.Angle = 0;
param.Nugget = 0;
param.Range = 0;
param.Sill = 0;
param.VariogramMode = VariogramMode.SPHERICAL;
param.SearchMode = SearchMode.KDTREE_FIXED_RADIUS;
param.SearchRadius = 0;
param.Exponent = Exponent.EXP1;//泛克吕金插值法参数
param.Type = KrigingAlgorithmType.UniversalKriging;
string serviceUrl = string.Format("http://{0}:8090/iserver/services/spatialanalyst-sample/restjsr", ip);
SpatialAnalyst spatialAnalyst = new SpatialAnalyst(serviceUrl);
DatasetSpatialAnalystResult actualResult = spatialAnalyst.Interpolate(pointDataset, param);
Assert.IsTrue(actualResult.Succeed);
}
catch (Exception e)
{
Assert.AreEqual("数据集SamplesP99@Interpolation不存在", e.Message);
}
}
/// <summary>
/// 拷贝构造函数。
/// </summary>
public InterpolationKrigingParameter(InterpolationKrigingParameter param)
: base(param)
{
this.Angle = param.Angle;
this.Nugget = param.Nugget;
this.Range = param.Range;
this.Sill = param.Sill;
this.Mean = param.Mean;
this.VariogramMode = param.VariogramMode;
this.Exponent = param.Exponent;
}
