Convert GDBTABLE to ADF

Understanding gdbtable and adf file formats

GDBTABLE files are table files used within the Esri File Geodatabase (GDB) format. They store attribute data for spatial and non-spatial tables in a proprietary binary format, commonly used in GIS (Geographic Information Systems) applications such as ArcGIS.

ADF files, or Arc/Info Binary Coverage files, are part of the older Esri ArcInfo coverage format. The ADF format is used to store spatial and attribute data, and is recognized by many legacy GIS systems.

Why convert gdbtable to adf?

Converting gdbtable to adf may be necessary for compatibility with older GIS software or workflows that require the ArcInfo coverage format. This conversion allows users to leverage data stored in modern geodatabases within legacy systems.

How to convert gdbtable to adf

Direct conversion from gdbtable to adf is not straightforward due to the proprietary nature of both formats. However, the process can be accomplished using ArcGIS Desktop (ArcMap or ArcGIS Pro) by exporting the table and then creating a coverage:

1. Open ArcGIS Desktop (ArcMap or ArcGIS Pro).
2. Add your File Geodatabase containing the gdbtable to the project.
3. Right-click the table and select Export → To dBASE (DBF) or To Table to export the data to a common format.
4. Use the Table to Table tool (found in ArcToolbox → Conversion Tools → To Geodatabase).
5. To create an ADF (coverage), use the Feature Class to Coverage tool (in ArcToolbox → Conversion Tools → To Coverage).
6. Follow the prompts to specify the input table and output coverage workspace. The resulting coverage will include ADF files.

Best software for gdbtable to adf conversion

The most reliable software for this conversion is ArcGIS Desktop (ArcMap or ArcGIS Pro), as it natively supports both gdbtable and adf formats. Open-source alternatives like GDAL/OGR have limited support for these proprietary formats and may not provide a direct conversion path.

Summary

To convert gdbtable to adf, use ArcGIS Desktop to export the table and create a coverage. This ensures data integrity and compatibility with legacy GIS systems.