Transfer Attributes (Editing)
Finds where the source line features spatially match the target line features and transfers specified attributes from source features to matched target features.
Attribute transfer is typically used to copy attributes from features in one dataset to corresponding features in another dataset. For example, it can be used to transfer the names of road features from a previously digitized and maintained dataset to features in a new dataset that are newly collected and more accurate. The two datasets are usually referred to as source features and target features. This tool finds corresponding source and target line features within the specified search distance and transfers the specified attributes from source lines to target lines.
The union of input extents is used as processing extent. The counts of participating source and target features are reported in the processing messages.
One or more fields in the Transfer Field(s) parameter must be specified. If a transfer field has the same name as a field from the target feature table, the transfer field will be appended with _1 (or _2, or _3, and so on) to make it unique.
When multiple source features match one or more target features, the field values from only one of the source features are transferred to the target features. If a source field value is missing, then no attribute transfer occurs.
The Search Distance parameter is used in finding match candidates. Use a distance large enough to catch most of the shifts between corresponding features, but not too large to cause unnecessary processing of too many candidates and potentially getting wrong matches.
The Output Match Table is optional. This match table provides complete feature matching information, including the source and target FIDs, match groups, match relationships, and the level of confidence of the matching derived from spatial and attribute matching conditions. This information can help you understand the match situations and facilitate postinspection, postediting, and further analysis. See About_feature_matching_and_the_match_table for details.
Feature matching accuracy relies on data quality, complexity, and similarities of the two inputs.
You need to minimize data errors and select relevant features as input through preprocessing. In general, it is always helpful that within an input dataset the features are topologically correct, have valid geometry, and are singlepart and nonduplicate; otherwise, unexpected results may occur.
This tool modifies the input data. See Tools with no outputs for more information and strategies to avoid undesired data changes.
All inputs must be in the same coordinate system.
Line features from which to transfer attributes.
Line features to which to transfer attributes. The specified transfer fields are added to the target features.
List of source fields to be transferred to target features. At least one field must be specified.
The distance used to search for match candidates. A distance must be specified and it must be greater than zero. You can choose a preferred unit; the default is the feature unit.
Lists of fields from source and target features. If specified, each pair of fields are checked for match candidates to help determine the right match.
The output table containing complete feature matching information.
The following Python window script demonstrates how to use the TransferAttributes function in immediate mode.
import arcpy arcpy.env.workspace = "C:/data" arcpy.TransferAttributes_edit("source_Roads.shp", "target_Roads.shp", "RoadName, PaveType" "25 Feet")
The following stand-alone script is an example of how to apply the TransferAttributes function in a scripting environment.
# Name: TransferAttributes_example_script2.py # Description: Performs attribute transfer from newly updated roads (source) to existing # base roads (target). Where the source and target features are matched in # many-to-one or many-to-many (m:n) relationships, attributes are transferred # from only one of the m source features to the n target features. This script # includes a post-process that flags resulting target features with the m:n # match relationships. You can inspect the flagged features and retrieve the # attributes from the desired source features if necessary. # Author: Esri # ----------------------------------------------------------------------- # Import system modules import arcpy from arcpy import env # Set environment settings env.overwriteOutput = True env.workspace = r"D:\conflationTools\ScriptExamples\data.gdb" # Set local variables sourceFeatures = "updateRoads" targetFeatures = "baseRoads" transfer_fields = "RD_NAME; RD_ID" search_distance = "300 Feet" match_fields = "RD_NAME FULLNAME" outMatchTable = "ta_mtbl" # Make a copy of the targetFeatures for attribute transfer targetCopy = targetFeatures + "_Copy" arcpy.CopyFeatures_management(targetFeatures, targetCopy) # Performs attribute transfer arcpy.TransferAttributes_edit(sourceFeatures, targetCopy, transfer_fields, search_distance, match_fields, outMatchTable) # ==================================================================================== # Note 1: The result of TransferAttributes may contain errors; see tool reference. # Additional analysis steps may be necessary to check the results; these steps # are not included in this script. # # The following process identifies m:n matches between source and target features # and flag features in targetCopy for inspection. # ==================================================================================== # Add a field srcM_inMN to the match table to store the m count of source features in m:n relationship field_srcM_inMN = "srcM_inMN" arcpy.AddField_management(outMatchTable, field_srcM_inMN) codeblock = """ def getM(fld): x = fld.split(\":\") if x.isnumeric(): if int(x) > 0: return int(x) return -1 """ # Calculate values for srcM_inMN arcpy.CalculateField_management(outMatchTable, field_srcM_inMN, "getM(!FM_MN!)", "PYTHON_9.3", codeblock) # Make a table view of the match table, selecting srcM_inMN values greater than 1 # (excluding 1:n relationships which don't need to be inspected) arcpy.MakeTableView_management(outMatchTable, "mtable_view", field_srcM_inMN + "> 1") # For the selected records, transfer srcM_inMN and SRC_FID fields and values to the targetCopy arcpy.JoinField_management(targetCopy, "OBJECTID", "mtable_view", "TGT_FID", field_srcM_inMN + "; SRC_FID") # ==================================================================================== # Note 2: Now the fields srcM_inMN and SRC_FID are in the copy of the target features. # The srcM_inMN values are the counts of matched source features; the SRC_FID # values indicate the source feature IDs from which the transferred attributes # come from. # # At this point you can interactively review the transferred attributes for the # flagged features. If you want to replace any of them by those from a different # source feature, you would need to make the edits as needed. # ====================================================================================