Label | Explanation | Data Type |
Input point or polyline features as numerator | The input features (point or line) of the cases for which density will be calculated. | Feature Layer |
Input point or polyline features as denominator | The input features (point or line) of the control for which density will be calculated. | Feature Layer |
Population field of numerator | The field denoting population values for each feature. The population field is the count or quantity to be spread across the landscape to create a continuous surface. Use OID or FID if no item or special value will be used and each feature will be counted once. Values in the population field can be integer or floating point. You can use the Shape field if input features contain z-values. | Field |
Population field of denominator | The field denoting population values for each feature. The population field is the count or quantity to be spread across the landscape to create a continuous surface. Use OID or FID if no item or special value will be used and each feature will be counted once. Values in the population field can be integer or floating point. You can use the Shape field if input features contain z-values. | Field |
Output cell size (Optional) | The cell size of the output raster that will be created. This parameter can be defined by a numeric value or obtained from an existing raster dataset. If the cell size hasn't been explicitly specified as the parameter value, the environment cell size value will be used if specified; otherwise, additional rules will be used to calculate it from the other inputs. See the usage section for more detail. | Analysis Cell Size |
Search radius of numerator (Optional) | The search radius within which density will be calculated. Units are based on the linear unit of the projection of the output spatial reference. For example, if the units are meters—to include all features within a one-mile neighborhood—set the search radius equal to 1609.344 (1 mile = 1609.344 meters). The default search radius is computed specifically for the input dataset using a spatial variant of Silverman's Rule of Thumb (Silverman, 1986) that is robust enough for spatial outliers (points that are far away from the rest of the points). See the usage tips for a description of the algorithm. | Double |
Search radius of denominator (Optional) | The search radius within which density will be calculated. Units are based on the linear unit of the projection of the output spatial reference. For example, if the units are meters—to include all features within a one-mile neighborhood—set the search radius equal to 1609.344 (1 mile = 1609.344 meters). The default search radius is computed specifically for the input dataset using a spatial variant of Silverman's Rule of Thumb (Silverman, 1986) that is robust enough for spatial outliers (points that are far away from the rest of the points). See the usage tips for a description of the algorithm. | Double |
Output cell values (Optional) | Specifies what the values in the output raster represent. Since the cell value is linked to the specified cell size, the resulting raster cannot be resampled to a different cell size.
| String |
Method (Optional) | Specifies whether the flat earth (planar) or the shortest path on a spheroid (geodesic) distance will be used. The geodesic method only supports points as input features.
| String |
Input barrier features for numerator (Optional) | The dataset that defines the barriers. The barriers can be a feature layer of polyline or polygon features. | Feature Layer |
Input barrier features for denominator (Optional) | The dataset that defines the barriers. The barriers can be a feature layer of polyline or polygon features. | Feature Layer |
Return Value
Label | Explanation | Data Type | Output raster | The output kernel density raster. It is always a floating point raster. | Raster |