FlatGeobuf to CSVConverter
Convert high-performance FlatGeobuf (.fgb) files to simple CSV spreadsheets instantly. No software installation, no account required.
All data is processed locally on your browser and is never uploaded to any server.
How It Works
Upload FlatGeobuf
Upload your .fgb file containing geographic data using the converter below
Convert
Our tool will instantly process your FlatGeobuf and prepare it for download as CSV
Download CSV
Get your data in CSV format, ready to use in Excel, Google Sheets, or any spreadsheet tool
FlatGeobuf (.fgb) to CSV Converter
What is FlatGeobuf (.fgb)?
FlatGeobuf (.fgb) is a highly efficient, binary geospatial data format designed for performance. It's an open file format based on Google's FlatBuffers serialization library that aims to be the fastest geospatial format available with a minimal memory footprint.
While FlatGeobuf offers exceptional performance for web mapping and geospatial applications, its binary structure makes it challenging to directly analyze without specialized software. Our converter transforms FlatGeobuf data into simple CSV spreadsheets that you can open with Excel, Google Sheets, or any spreadsheet software.
Why Convert FlatGeobuf to CSV?
- Accessibility: Work with high-performance geospatial data without specialized GIS software
- Data Analysis: Perform statistical analysis on geographic data using familiar spreadsheet tools
- Integration: Import location data into business intelligence tools, databases, or custom applications
- Sharing: Share geospatial data with colleagues who don't have GIS expertise
- Exploration: Examine the contents of FlatGeobuf files in a human-readable format
FlatGeobuf Advantages
FlatGeobuf has gained popularity among GIS professionals and developers for several key reasons:
- Exceptional Speed: Optimized for extremely fast random access and spatial indexing
- Streaming Support: Can be progressively loaded and parsed, making it ideal for web applications
- Spatial Indexing: Built-in Hilbert R-Tree spatial index for efficient querying
- Zero-Copy Design: Reads features directly from disk without creating intermediary copies
- Single-file Format: Everything is contained in one compact file
- Cross-platform: Works across all operating systems and environments
Our converter maintains the accuracy of your geospatial data while transforming it into a format that's more accessible for data analysis and sharing with non-technical colleagues.
Frequently Asked Questions
Does the converter preserve the spatial index information?
FlatGeobuf's Hilbert R-Tree spatial index is primarily used for efficient querying and isn't directly relevant in a tabular CSV format. Our converter focuses on extracting the geometric features (coordinates) and attribute data, which are the most valuable aspects for spreadsheet analysis. The spatial relationships can still be analyzed using the coordinate data.
How are complex geometries handled in the CSV?
The converter extracts coordinates for each feature in GeoJSON, WKT, or WKB formats. For points, you can optionally create latitude/longitude columns. All attributes from the FlatGeobuf are preserved as columns in the CSV.
How do I create a FlatGeobuf file?
FlatGeobuf files can be created using modern GIS tools like GDAL/OGR (version 3.1+), QGIS (3.14+), or programming libraries like flatgeobuf.js (JavaScript) and FlatGeobuf.NET (C#). Many web mapping frameworks and GIS applications now support exporting to FlatGeobuf format. You can also convert from other formats like Shapefiles or GeoJSON to FlatGeobuf with other conversion tools.
Who can I reach out to if I have questions or issues
If you have any questions or encounter issues with the converter, please contact us. As this is a free tool we can't offer a guaranteed level of assistance, but we'll try to help!
Other Conversion Tools
Want to build a secure interactive map with your data?
This free converter is just one of many tools offered by Honeycomb Maps. Our core product is a powerful map application builder, used by companies like GLS Studio to share geospatial data within their organizations.