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With Merge, you can decide which attributes are transferred to the output, and these can be any combination of the input attribute fields. No new features are created for where areas overlap. Therefore, the number of features in the output is equal to the sum of features used in the Merge. The relationship of input features relative to each other does not change, so the physical bound aries of the features are not actually blended together - the features simply belong to the same feature class after the Merge. The output will have an extent that encompasses all of the features included in the merge. The Merge tool combines multiple input datasets of the same geometry type (e.g., polyline, polygon, or point), or tables, into a new feature class. Here we’ll take a look at the differences among these tools to help you decide which one will help achieve your particular goal. Seriously – what does Dissolve do!? ArcGIS has a lot of tools that perform many useful operations, but sometimes it can be hard to figure out which one to use. Okay, so which tool should you use?ĭo you ever want to combine multiple spatial datasets in ArcMap, but you aren’t sure which tool to use? You may wonder if you should use Merge, Append or Union, or if there are other tools available. name )) # Since both oldStreets and newStreets have field "Distance", no field mapping is required # Use Merge tool to move features into single dataset uptodateStreets = "C:/output/Output.gdb/allroads" arcpy. addFieldMap ( fldMap_streetClass ) # Remove all output fields from the field mappings, except fields "Street_Class", "Street_Name", & "Distance" for field in fieldMappings. outputField = streetClass # Add output field to field mappings object fieldMappings. name = "Street_Class" fldMap_streetClass. addInputField ( newStreets, "IFC" ) # Set name of new output field "Street_Class" streetClass = fldMap_streetClass. addInputField ( oldStreets, "CLASS" ) fldMap_streetClass. addFieldMap ( fldMap_streetName ) # Add input fields "CLASS" & "IFC" into new output field fldMap_streetClass = arcpy. outputField = streetName # Add output field to field mappings object fieldMappings. addInputField ( newStreets, "NM" ) # Set name of new output field "Street_Name" streetName = fldMap_streetName. addInputField ( oldStreets, "STREET_NAM" ) fldMap_streetName. addTable ( newStreets ) # Add input fields "STREET_NAM" & "NM" into new output field fldMap_streetName = arcpy. FieldMappings () # Add all fields from both oldStreets and newStreets fieldMappings. workspace = "C:/data" # Street feature classes to be merged oldStreets = "majorrds.shp" newStreets = "Habitat_Analysis.gdb/futrds" # Create FieldMappings object to manage merge output fields fieldMappings = arcpy. # Name: Merge.py # Description: Use Merge tool to move features from two street # feature classes into a single dataset with field mapping # import system modules import arcpy from arcpy import env # Set environment settings env. Use the Mosaic To New Raster tool to merge multiple rasters into a new output raster. This tool does not support raster datasets. Use the Append_Annotation_Feature_Classes tool to combine annotation feature classes. This tool does not support annotation feature classes. If feature classes are being merged, the output dataset will be in the coordinate system of the first feature class in the Input Datasets list, unless the Output Coordinate System geoprocessing environment is set. To combine, or planarize, feature geometries use the Union tool. All features from the input datasets will remain intact in the output dataset, even if the features overlap. This tool will not planarize features from the input datasets. Learn more about mapping fields in scripts
All input datasets must be of the same type (that is, several point feature classes can be merged, or several tables can be merged, but a line feature class cannot be merged with a polygon feature class).Īll fields in the output dataset and the contents of those fields can be controlled using the Field Map controls. Use this tool to combine datasets from multiple sources into a new, single output dataset.
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