Label | Explanation | Data Type |

Point Layer
| The input point feature class that will be aggregated into space-time bins. | Feature Set |

Output Name
| The output netCDF data cube that will be created to contain counts and summaries of the input feature point data. | String |

Distance Interval
| The size of the bins will be used to aggregate the Point Layer. All points that fall within the same Distance Interval and Time Interval will be aggregated. The distance that will determine the bin size. | Linear Unit |

Time Interval
| The number of seconds, minutes, hours, days, weeks, or years that will represent a single time step. All points within the same Time Interval and Distance Interval will be aggregated. Examples of valid entries for this parameter are 1 Weeks, 13 Days, or 1 Months. | Time Unit |

Time Interval Alignment
(Optional) | Specifies how aggregation will occur based on the Time Interval (time_step_interval in Python) parameter. - End time —Time steps will align to the last time event and aggregate back in time.
- Start time —Time steps will align to the first time event and aggregate forward in time.
- Reference time —Time steps will align to a specified date or time. If all points in the input features have a time stamp larger than the specified reference time (or it falls exactly on the start time of the input features), the time-step interval will begin with that reference time and aggregate forward in time (as occurs with the Start time alignment). If all points in the input features have a time stamp smaller than the specified reference time (or it falls exactly on the end time of the input features), the time-step interval will end with that reference time and aggregate backward in time (as occurs with the End time alignment). If the specified reference time is in the middle of the time extent of the data, a time-step interval will be created ending with the reference time provided (as occurs with the End time alignment); additional intervals will be created both before and after the reference time until the full time extent of the data is covered.
| String |

Reference Time
(Optional) | Date | |

Summary Fields
(Optional) | The numeric field containing attribute values that will be used to calculate the specified statistic when aggregating into a space time cube. Multiple statistic and field combinations can be specified. Null values are excluded from all statistical calculations. Available statistic types are the following: - Sum—Adds the total value for the specified field within each bin.
- Mean—Calculates the average for the specified field within each bin.
- Minimum—Finds the smallest value for all records of the specified field within each bin.
- Maximum—Finds the largest value for all records of the specified field within each bin.
- Standard deviation—Finds the standard deviation on values in the specified field within each bin.
Available fill types are the following: - Zeros—Fills empty bins with zeros.
- Spatial_Neighbors—Fills empty bins with the average value of spatial neighbors.
- Space Time Neighbors—Fills empty bins with the average value of space-time neighbors.
- Temporal Trend—Fills empty bins using an interpolated univariate spline algorithm.
## Note:Null values present in any of the summary fields will result in those features being excluded from the analysis. If count of points in each bin is part of your analysis strategy, consider creating separate cubes, one for the count (without summary fields) and one for summary fields. If the set of null values is different for each summary field, consider creating a separate cube for each summary field. | Value Table |

### Derived Output

Label | Explanation | Data Type |

Output File | The aggregated space time cube. | File |