The Join Features tool will transfer attributes from one layer or table to another based on spatial and attribute relationships. Optionally, statistics can be calculated for the joined features.
An analyst has crime data throughout their city. To analyze and study the impact of these crimes, the analyst needs to understand the relationship that the crime locations have with the various city jurisdictions such as school districts, police beats, neighborhoods, and so on. By using the Join Features tool, additional information about each location can be appended to each crime, and the impact on various jurisdictions can be further studied and analyzed.
Esri Living Atlas state and county layers include population data that can be joined to your crime data.
The Join Features tool is designed to transfer and append information from one layer to another. The information that is transferred is based on the type of spatial relationship defined or based on a common attribute that is shared between the two datasets.
Depending on the configuration of your organization, you will have access to either Esri Living Atlas Analysis Layers or Custom Analysis Layers that may contain information needed for your analysis. Click the drop-down arrow for the Choose layer to join to target layer parameter to select an analysis layer to use as the join layer.
When joining features, you can join features based on a spatial relationship, an attribute relationship, or a combination of the two.
Choose a spatial relationship
The spatial relationship that will determine if features are joined to each other. The available relationships depend on the geometry type (point, line, or area) of the layers being joined. Available spatial relationships are as follows:
Choose the fields to match
The attribute relationship that will determine if features are joined to each other. Features are matched when the field values in the join layer are equal to field values in the target layer.
The join operation determines how joins between the target and join layers will be handled if multiple features in the join layer are found to have the same relationship to the target layer. The following are the two join operations from which to choose:
- Join one to one—This option joins the first matching feature in the join layer to the first matching feature in the target layer. Optionally, if statistics are added, matched joined features will be summarized to each feature in the target layer. The count of joined features will be added by default.
- Join one to many—This option joins all the matching features in the join layer to the target layer. The result layer will contain multiple records of the target feature.
If Use current map extent is checked, only the features visible within the current map extent will be analyzed. If unchecked, all features in both the target layer and the join layer will be analyzed, even if they are outside the current map extent.
Click Show Credits before you run your analysis to check how many credits will be consumed.
Summary statistics can only be calculated if a Join one to one operation is specified.
How Join Features works
Standard deviation is calculated using the following equation:
Statistics are calculated for only those features that meet the specified spatial or attribute relationship used in the Join one to one operation. You can calculate numeric and string statistics. By default, only the Count is calculated. Using the table above, numeric statistics were calculated on the field Occupants and string statistics were calculated on the field Building_Name for the values of Apartments for the field Type.
|Numeric Statistic||Results of Occupants of Type Apartment|
The count statistic counts the number of nonnull values. The counts of [0, 1, 10, 5, null, 6] = 5.
Use Join Features to transfer attributes from one layer or table to another based on spatial and attribute relationships. Other tools may be useful in solving similar but slightly different problems.
Map viewer analysis tools
Use the Enrich Layer tool to get demographic and landscape information for the people, places, and businesses associated with your point, line, or area data locations.