Hi, I get the following message when I try to perform Interpolate Points: 'Error InterpolatePoints failed.' I tried a lot of different variations.
In an area of 125 square kilometers with about 2000 sampling points distributed at a density between 10 to 500 meters, if high resolution is not a primary concern, you can generalize or simplify information to facilitate administration of this process what you can be done using a set of tools ArcGIS (similar in QGIS or gvSIG process), such as interpolation, creating a homogeneous mesh points and extract the values of a raster from a point layer.
This example is intended to generalize the points at a density of 1000 x 1000 meters, the first step is to interpolate the data with the aim of creating a raster image information to simplify the method of inverse distance interpolation IDW, conforms to variable (monthly precipitation) in the exercise, also be used Kriging, Spline, Natural Neighbor, among others.
ArcToolbox > Spatial Analyst Tools > Interpolation
It then proceeds to create a grid of points of 1000 x 1000 meters, with the Create Fishnet tool located in:
ArcToolbox > Data Management Tools > Feature Class
Report an output directory in a geodatabase in Template Extent select the point layer (or interpolated raster) to get the same extension, cell size drop spacing in meters in width and high, check the Create Label Point box, leaving the remaining fields by default.
The last process is to extract the values of the interpolated raster IDW and transfer the values to the point layer obtained with the Create Fishnet tool, to do this use the Extract Values to Points tool (activate the Interpolate values at the point locations box) located at:
ArcToolbox > Spatial Analyst Tools > Extraction
The layer contains general points estimated based on the interpolated data from the initial information values. Another option would create a Spatial Join between the mesh points (created with fishnet) and the centroids of the initial layer of points.
Please help me with writing (comment), my English is not good.
Summary
Creates 3D point and line features using existing elevation data and interpolation methods.
Usage
- Elevations are set based on an order of preference, missing field values are only replaced by an input raster surface, and missing surface raster elevations are only replaced by triangulated irregular network (TIN) field values created using the interpolate based on known elevations setting.
- Interpolation relies on estimation to establish the elevations for 3D features and therefore may assign inaccurate elevations to features.
Syntax
Parameter | Explanation | Data Type |
The input point or line feature used to generate 3D results. | Feature Layer | |
out_feature_class | The location where the results are saved. | Feature Class |
The default elevation value for line and point features. | double | |
height_field | An optional field that defines the elevation of the resulting 3D features. | Field |
to_height_field | An optional second elevation field used for lines. When using two height fields, each line will start at the first height and end at the second (sloped). | Field |
z_factor | A conversion factor that adjusts the units of measure for vertical units. | Double |
null_mask | An additional value (such as 0 or -99) that will be processed as a null value. | Double |
interpolate_errors | Interpolates missing and null values based on known values using a TIN. | Boolean |
raster_surface | The input raster surface for interpolating elevation values for input point or line features. | Raster Layer |
raster_surface_offset | Offset value from the input interpolation surface. | Double |
Code sample
Generate 3D point and line features using existing elevation data and interpolation methods.
Environments
This tool does not use any geoprocessing environments.
Licensing information
- Basic: No
- Standard: Requires ArcGIS 3D Analyst extension
- Advanced: Requires ArcGIS 3D Analyst extension