Étiquette | Explication | Type de données |
Input features | The input point features containing the z-values to be interpolated. | Feature Layer |
Z value field | Field that holds a height or magnitude value for each point. This can be a numeric field or the Shape field if the input features contain z-values or m-values. | Field |
Output geostatistical layer (Facultatif) | The geostatistical layer produced. This layer is required output only if no output raster is requested. | Geostatistical Layer |
Output raster (Facultatif) | The output raster. This raster is required output only if no output geostatistical layer is requested. | Raster Dataset |
Output cell size (Facultatif) | The cell size at which the output raster will be created. This value can be explicitly set in the Environments by the Cell Size parameter. If not set, it is the shorter of the width or the height of the extent of the input point features, in the input spatial reference, divided by 250. | Analysis Cell Size |
Search neighborhood (Facultatif) | Defines which surrounding points will be used to control the output. Standard is the default. Standard
Standard Circular
| Geostatistical Search Neighborhood |
Radial basis function (Facultatif) | There are five radial basis functions available.
| String |
Small scale parameter (Facultatif) | Used to calculate the weights assigned to the points located in the moving window. Each of the radial basis functions has a parameter that controls the degree of small-scale variation of the surface. The (optimal) parameter is determined by finding the value that minimizes the root mean square prediction error (RMSPE). | Double |
Disponible avec une licence Geostatistical Analyst.
Synthèse
Uses one of five basis functions to interpolate a surfaces that passes through the input points exactly.
Utilisation
The smooth search neighborhood is only available for the Inverse multiquadric function.
For all methods except the Inverse multiquadric function, the higher the parameter value, the smoother the surface. The opposite is true for the Inverse multiquadric function.
Paramètres
arcpy.ga.RadialBasisFunctions(in_features, z_field, {out_ga_layer}, {out_raster}, {cell_size}, {search_neighborhood}, {radial_basis_functions}, {small_scale_parameter})
Nom | Explication | Type de données |
in_features | The input point features containing the z-values to be interpolated. | Feature Layer |
z_field | Field that holds a height or magnitude value for each point. This can be a numeric field or the Shape field if the input features contain z-values or m-values. | Field |
out_ga_layer (Facultatif) | The geostatistical layer produced. This layer is required output only if no output raster is requested. | Geostatistical Layer |
out_raster (Facultatif) | The output raster. This raster is required output only if no output geostatistical layer is requested. | Raster Dataset |
cell_size (Facultatif) | The cell size at which the output raster will be created. This value can be explicitly set in the Environments by the Cell Size parameter. If not set, it is the shorter of the width or the height of the extent of the input point features, in the input spatial reference, divided by 250. | Analysis Cell Size |
search_neighborhood (Facultatif) | Defines which surrounding points will be used to control the output. Standard is the default. The following are Search Neighborhood classes: SearchNeighborhoodStandard and SearchNeighborhoodStandardCircular. Standard
Standard Circular
| Geostatistical Search Neighborhood |
radial_basis_functions (Facultatif) | There are five radial basis functions available.
| String |
small_scale_parameter (Facultatif) | Used to calculate the weights assigned to the points located in the moving window. Each of the radial basis functions has a parameter that controls the degree of small-scale variation of the surface. The (optimal) parameter is determined by finding the value that minimizes the root mean square prediction error (RMSPE). | Double |
Exemple de code
Interpolate point features onto a rectangular raster.
import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
arcpy.RadialBasisFunctions_ga(
"ca_ozone_pts", "OZONE", "outRBF", "C:/gapyexamples/output/rbfout", "2000",
arcpy.SearchNeighborhoodStandard(300000, 300000, 0, 15, 10, "ONE_SECTOR"),
"THIN_PLATE_SPLINE", "")
Interpolate point features onto a rectangular raster.
# Name: RadialBasisFunctions_Example_02.py
# Description: RBF methods are a series of exact interpolation techniques;
# that is, the surface must go through each measured sample value.
# Requirements: Geostatistical Analyst Extension
# Import system modules
import arcpy
# Set environment settings
arcpy.env.workspace = "C:/gapyexamples/data"
# Set local variables
inPointFeatures = "ca_ozone_pts.shp"
zField = "OZONE"
outLayer = "outRBF"
outRaster = "C:/gapyexamples/output/rbfout"
cellSize = 2000.0
rbf = "THIN_PLATE_SPLINE"
smallscaleParam = ""
# Set variables for search neighborhood
majSemiaxis = 300000
minSemiaxis = 300000
angle = 0
maxNeighbors = 15
minNeighbors = 10
sectorType = "ONE_SECTOR"
searchNeighbourhood = arcpy.SearchNeighborhoodStandard(majSemiaxis, minSemiaxis,
angle, maxNeighbors,
minNeighbors, sectorType)
# Execute RadialBasisFunctions
arcpy.RadialBasisFunctions_ga(inPointFeatures, zField, outLayer, outRaster,
cellSize, searchNeighbourhood, rbf, smallscaleParam)
Environnements
Cas particuliers
Informations de licence
- Basic: Nécessite Geostatistical Analyst
- Standard: Nécessite Geostatistical Analyst
- Advanced: Nécessite Geostatistical Analyst
Rubriques connexes
Vous avez un commentaire à formuler concernant cette rubrique ?