interpolate_points方法允许您根据一组点的测量值来预测新位置的值。该方法获取具有每个点的值的点数据,并返回按预测值分类的区域。例如: 空气质量管理区设有测量污染水平的传感器。interpolate_points可用于预测没有传感器的位置的污染水平,例如有高危人群、学校或医院的位置。 根据从单个植物采集的样本预测裁剪中的重金...
InterpolatePoints example 1 (Python window) This example interpolates a point feature service into an image service raster. import arcpy arcpy.InterpolatePoints_ra('https://MyPortal.esri.com/server/rest/services/Hosted/myPoints/FeatureServer/0', 'myField', 'outImgServ', 'SPEED', 'False', ...
The recommended range is between 128 and 2048. ParametersDialogPython Label Explanation Data Type Input Surface The input triangulated irregular network (TIN) or terrain dataset surface. Terrain Layer; TIN Layer Input Feature Class The input polygon feature. Feature Layer Output Feature Class The ...
I think the different interpolation method used in between F.interpolate and PIL.resize are not consistent (even if you specify the same interpolation parameter), so the inference results will be a little different. vfdev-5 added the module: transforms label Nov 3, 2020 Collaborator vfdev-5...
v0.11.2 .github build_deps docs tensorflow_addons activations callbacks custom_ops image tests BUILD README.md __init__.py color_ops.py compose_ops.py connected_components.py cutout_ops.py dense_image_warp.py distance_transform.py distort_image_ops.py ...
Fig. 10. The pressure field in a tube with two different shape parameters r, computed using FEM. The upper panel shows a straight tube, and the lower panel a narrowing tube (r = −1.675) with a pressure difference between points A and B which is 50% larger than in the straight...
Python ArcGIS interpolate_points用法及代码示例 本文简要介绍 python 语言中arcgis.raster.analytics.interpolate_points的用法。 用法: arcgis.raster.analytics.interpolate_points(input_point_features, interpolate_field, optimize_for='BALANCE', transform_data=False, size_of_local_models=None, number_of_...
Many parameters of the tool are exposed in Interpolate Points, but many are controlled automatically by the Optimize for parameter. ParametersDialogPython Label Explanation Data Type Input Point Features The input point features you want to interpolate. Feature Set Interpolate Field The field containing...
Geometric interval—Polygons are based on class intervals that have a geometric series. This method ensures that each class range has approximately the same number of values within each class and that the change between intervals is consistent. This is the default. ...
Balance—A balance between speed and accuracy. This is the default. Accuracy—The operation is optimized for accuracy. String Transform Data to Normal Distribution (Optional) Choose whether to transform your data to a normal distribution before performing analysis. If your data values do not appear...