Interpolate From Spatiotemporal Points (Image Analyst)

Available with Image Analyst license.

Summary

Interpolates temporal point data into a multidimensional raster.

Usage

• The result of this tool is a multidimensional raster that contains the variable interpolated across time and space.

Parameters

Dialog

Label	Explanation	Data Type
Input Temporal Dataset	The input point layer, trajectory file, or trajectory mosaic dataset.	Mosaic Dataset; Mosaic Layer; Feature Layer; Trajectory Layer
Variable Field	A field containing variable values.	String
Time Field	A field containing time values.	String
Temporal Aggregation (Optional)	Specifies the temporal aggregation of the output multidimensional raster. The interpolation algorithm uses all available data within these time periods to calculate the output slice. Daily—The data values will be aggregated into daily time steps. This is the default. Weekly—The data values will be aggregated into weekly time steps. Monthly—The data values will be aggregated into monthly time steps. Quarterly—The data values will be aggregated into quarterly time steps. Yearly—The data values will be aggregated into yearly time steps.	String
Cellsize (Optional)	The output cell size. By default, the cell size will be the shorter of the width or the height of the input point feature extent, divided by 250.	Double
Interpolation Method	Specifies the interpolation method that will be used. IDW—Inverse distance weighted interpolation will be used. Triangulation—Triangulation interpolation will be used. Mean—Mean interpolation will be used. Natural Neighbor—Natural neighbor interpolation will be used. Nearest Neighbor—Nearest neighbor interpolation will be used. Quadratic—Quadratic interpolation will be used.	String

Return Value

Label	Explanation	Data Type
Output Raster	The output multidimensional raster dataset.	Raster Dataset

Python

InterpolateFromSpatiotemporalPoints(in_dataset, variable_field, time_field, {temporal_aggregation}, {cell_size}, interpolation_method)

Name	Explanation	Data Type
in_dataset	The input point layer, trajectory file, or trajectory mosaic dataset.	Mosaic Dataset; Mosaic Layer; Feature Layer; Trajectory Layer
variable_field	A field containing variable values.	String
time_field	A field containing time values.	String
temporal_aggregation (Optional)	Specifies the temporal aggregation of the output multidimensional raster. The interpolation algorithm uses all available data within these time periods to calculate the output slice. DAILY—The data values will be aggregated into daily time steps. This is the default. WEEKLY—The data values will be aggregated into weekly time steps. MONTHLY—The data values will be aggregated into monthly time steps. QUARTERLY—The data values will be aggregated into quarterly time steps. YEARLY—The data values will be aggregated into yearly time steps.	String
cell_size (Optional)	The output cell size. By default, the cell size will be the shorter of the width or the height of the input point feature extent, divided by 250.	Double
interpolation_method	Specifies the interpolation method that will be used. IDW—Inverse distance weighted interpolation will be used. TRIANGULATION—Triangulation interpolation will be used. MEAN—Mean interpolation will be used. NATURAL_NEIGHBOR—Natural neighbor interpolation will be used. NEAREST_NEIGHBOR—Nearest neighbor interpolation will be used. QUADRATIC—Quadratic interpolation will be used.	String

Return Value

Name	Explanation	Data Type
out_raster	The output multidimensional raster dataset.	Raster Dataset

Code sample

InterpolateFromSpatioTemporalPoints example 1 (stand-alone script)

This example interpolates elevation point data into a multidimensional raster.

# Import system modules
import arcpy
from arcpy import *

#Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")

# Set local variables
in_dataset = "icesat_trajectory"
out_raster = r"C:\temp\icesat_surface.crf"
variable_field = "elevation"
time_field = "Time"
temporal_aggregation = "Daily"
cell_size = 5000
interpolation_method = "Quadratic function"

# Execute
interpolation_output = arcpy.ia.InterpolateFromSpatiotemporalPoints(in_dataset, out_raster, variable_field,
		       time_field, temporal_aggregation, cell_size, interpolation_method)

Environments

Cell Size, Current Workspace, Extent, Geographic Transformations, Mask, Output Coordinate System, Parallel Processing Factor, Snap Raster

Licensing information

• Basic: Requires Image Analyst
• Standard: Requires Image Analyst
• Advanced: Requires Image Analyst