Label | Explanation | Data Type |

Input Multidimensional Raster 1 | The input multidimensional raster dataset. The first multidimensional raster in any supported format. | Raster Dataset; Raster Layer; Mosaic Dataset; Mosaic Layer; Image Service |

Input Multidimensional Raster 2
| The second multidimensional raster that will be correlated with the first input. Autocorrelation will be calculated if the Input Multidimensional Raster 1 parameter value is the same as the Input Multidimensional Raster 2 parameter value. Autocorrelation refers to the degree of correlation of the same variables between two successive time intervals. | Raster Dataset; Raster Layer; Mosaic Dataset; Mosaic Layer; Image Service |

Dimension Name of Raster 1 (Optional) | A dimension name in the first dataset, along which the pixel array is defined. When the input has two nonspatial dimensions, a dimension must be specified. The length of the dimension used in the calculation must be greater than 2. | String |

Variable 1
(Optional) | A variable name from the first input raster. | String |

Dimension Name of Raster 2 (Optional) | A dimension name in the second dataset. The length of the dimension used in the calculation must be greater than 2. | String |

Variable 2
(Optional) | A variable name from the second input raster. | String |

Correlation Method
(Optional) | Specifies the correlation calculation method that will be used. - Pearson—The correlation method will be Pearson. This is the default.
- Spearman—The correlation method will be Spearman.
- Kendall—The correlation method will be Kendall.
| String |

Lag
(Optional) | Calculate a correlation value by shifting the pixel array by the step specified, from 0 to dimension/2, depending on the time lag. The default is 0. | Long |

Calculate Cross Correlation at Lags (Optional) | Specifies whether the cross correlation will be computed at lags. When enabled, the correlations will be calculated at each lag within a range defined by the lag value. For example, if the lag value is 2, correlations of -2, -1, 0, 1, and 2 will be calculated and stored as bands in the output raster. - Checked—The cross correlation will be computed at lags.
- Unchecked—The cross correlation will not be computed at lags. This is the default.
| Boolean |

Calculate P-value (Optional) | Specifies whether the p-value will be computed at lags. P-value is a confidence value that describes how well the two variables are correlated. - Checked—The p-value will be computed at lags. The output will include additional bands storing the p-values.
- Unchecked—The p-value will not be computed at lags. This is the default.
| Boolean |

Output Maximum Correlation Raster (Optional) | A 2-band raster with maximum correlation values and the lags at which the maximum correlations occur. The raster will be created when the Calculate Cross Correlation at Lags parameter is checked. A 2-band raster with maximum correlation values and the lags at which the maximum correlations occur. The raster will be created when the calculate_xcorr parameter is specified as ALL_CROSS_CORRELATION. | Raster Dataset |

### Return Value

Label | Explanation | Data Type |

Output Raster | The output raster dataset. When the lag parameter value is not 0, a cross correlation at each lag will be calculated and stored as bands in the output. | Raster Dataset |