The Predict Using Trend Raster tool computes a forecasted multidimensional imagery layer using the output trend imagery layer created by the Generate Trend Raster tool.
The output is a hosted imagery layer.
Examples
The Predict Using Trend Raster tool can be used to predict the sea surface temperature in the north Atlantic Ocean in 2040 based on sea surface trend information from several prior years.
The growing degree days can be calculated for the year 2100 given a trend raster containing trend information for maximum and minimum daily temperature values. The Predict Using Trend Raster tool can compute a multidimensional imagery layer containing the daily minimum and maximum temperature values, which can be categorized and counted.
Usage notes
Predict Using Trend Raster includes configurations for input layers, prediction settings, and result layer.
Input layer
The Input layer group includes the following parameters:
- Trend imagery layer is the input multidimensional trend raster generated from the Generate Trend Raster tool.
- Variables indicates the variable of the multidimensional trend imagery layer that will be used for the prediction.
Prediction settings
The Prediction settings group includes the following parameters:
- Dimension definition specifies how the statistic will be extracted from all the dimensions. The Dimension definition parameter options are as follows:
- By value indicates the prediction will be calculated for a single dimension value or a list of dimension values defined by the Values parameter (dimension_values in Python). This is the default. For example, you want to predict yearly precipitation for the years 2050, 2100, and 2150.
- By interval indicates the prediction will be calculated for an interval of the dimension defined by a start and an end value. For example, you want to predict yearly precipitation for every year between 2050 and 2150.
Values specifies the dimension value or values to be used in the prediction when By value is chosen for Dimension definition.
The format of the time, depth, and height values must match the format of the dimension values used to generate the trend raster. If the trend raster was generated for the StdTime dimension, the format would be YYYY-MM-DDTHH:MM:SS, for example 2050-01-01T00:00:00. Multiple values are separated with a semicolon.- Start specifies the start date, height, or depth of the dimension interval to be used in the prediction when By interval is chosen for Dimension definition.
- End specifies the end date, height, or depth of the dimension interval to be used in the prediction when By interval is chosen for Dimension definition.
- Interval value determines the size of the interval that will be used for the aggregation. This parameter is available when Interval value is chosen for Dimension definition.
- Interval unit specifies the unit used for the interval value. This parameter is available when the Dimension is a time field and Interval value is chosen for Dimension definition. The Interval unit parameter options are as follows:
- Hours—The prediction will be calculated for each hour in the range of time described by the Start, End, and Interval value.
- Days—The prediction will be calculated for each day in the range of time described by the Start, End, and Interval value.
- Weeks—The prediction will be calculated for each week in the range of time described by the Start, End, and Interval value.
- Months—The prediction will be calculated for each month in the range of time described by the Start, End, and Interval value.
- Years—The prediction will be calculated for each year in the range of time described by the Start, End, and Interval value.
Result layer
The Result layer group includes the following parameters:
- Output name determines the name of the layer that is created and added to the map. The name must be unique. If a layer with the same name already exists in your organization, the tool will fail and you will be prompted to use a different name.
- Save in folder specifies the name of a folder in My Content where the result will be saved.
Environments
Analysis environment settings are additional parameters that affect a tool's results. You can access the tool's analysis environment settings from the Environment settings parameter group.
This tool honors the following analysis environments:
- Output coordinate system
- Processing extent
Note:
The default processing extent in Map Viewer is Full extent. This default is different from Map Viewer Classic in which Use current map extent is enabled by default.
- Snap raster
- Cell size
- Resampling method
- Parallel processing factor
Outputs
The output includes one multidimensional imagery layer with the predicted values for the described variable for the desired time period.
Usage requirements
This tool requires the following licensing and configurations:
Resources
Use the following resources to learn more:
- Predict Using Trend Raster in ArcGIS REST API
- predict_using_trend function in ArcGIS API for Python
- Predict Using Trend Raster in ArcGIS Pro