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Converting Between KML and GPX

Converting Between KML and GPX: A Comprehensive Guide

In the vast realm of geospatial data, KML (Keyhole Markup Language) and GPX (GPS Exchange Format) are two of the most prominent file formats. This guide delves deep into the nuances of converting between these formats, ensuring you have all the knowledge at your fingertips.

Understanding KML and GPX

KML (Keyhole Markup Language) is an XML-based format tailored for visualizing and annotating geographic data, predominantly with Google Earth. It can represent points, lines, polygons, and 3D models.

GPX (GPS Exchange Format), another XML-based format, is designed for exchanging GPS data between software. It’s a favorite for sharing routes, tracks, and waypoints.

Step-by-Step Conversion Guides

Using GDAL

  • Single Conversion:
  • KML to GPX:
    bash ogr2ogr -f "GPX" output.gpx input.kml
  • GPX to KML: ogr2ogr -f "KML" output.kml input.gpx
  • Batch Conversion: Use a shell script or batch file.
  for file in *.kml; do
      ogr2ogr -f "GPX" "${file%.kml}.gpx" "$file"

Using QGIS

  • Single Conversion:
  1. Open QGIS.
  2. Import the KML or GPX file.
  3. Right-click the layer.
  4. Select “Export” > “Save Features As…”.
  5. Choose the desired format and save.
  • Batch Conversion: Use the “Batch Processing” tool in QGIS.

Using ArcGIS Pro

  • Single Conversion:
  • Use “KML To Layer” or “Layer To KML”.
  • For GPX, use “GPX To Features” and “Features To GPX”.
  • Batch Conversion: Use the “Batch” option in the tool dialog box.

Using Python

Single Conversion:

  import geopandas as gpd

  gdf = gpd.read_file("input.kml", driver='KML')
  gdf.to_file("output.gpx", driver="GPX")

Batch Conversion:

  import os

  directory = "path_to_directory"
  for filename in os.listdir(directory):
      if filename.endswith(".kml"):
          gdf = gpd.read_file(os.path.join(directory, filename), driver='KML')
          gdf.to_file(filename[:-4] + ".gpx", driver="GPX")

Using R

Single Conversion:


  kml_data <- st_read("input.kml")
  gpx_data <- as(kml_data, "GPX")
  writeOGR(gpx_data, "output.gpx", driver="GPX")

Batch Conversion:

  files <- list.files(pattern="*.kml")
  for (file in files) {
      kml_data <- st_read(file)
      gpx_data <- as(kml_data, "GPX")
      writeOGR(gpx_data, sub(".kml", ".gpx", file), driver="GPX")

Differences Between KML and GPX

File StructureXML-based with nested elementsXML-based with a flatter structure
Geometry TypesPoints, Lines, Polygons, 3D ModelsWaypoints, Tracks, Routes
AttributesRich attribute set with custom dataPrimarily for waypoints with limited custom data
StylingExtensive with color, width, and icon supportLimited, primarily for waypoints
Coordinate SystemWGS84WGS84
Use CaseVisualization in Google EarthGPS data exchange, tracking, and navigation

Challenges in Conversion

1. Geometry Support: KML supports a wider range of geometries, including 3D models, which GPX does not. When converting from KML to GPX, these additional geometries might be omitted or simplified.

2. Attribute Handling: KML allows for a richer set of attributes with custom data. GPX, being primarily for waypoints, has a limited set. This means some data might be lost when converting from KML to GPX.

3. Styling: KML has extensive styling options, from colors to icons. GPX has limited styling capabilities. This means when converting from KML to GPX, the styling information will likely be lost.

4. Coordinate Systems: Both use WGS84, but there might be subtle differences in how they handle altitude or depth. Always verify post-conversion.

5. File Structure: KML has a nested structure, allowing for hierarchies of folders and elements. GPX has a flatter structure. This can lead to challenges in maintaining the same organizational structure during conversion.

6. Lossy Conversion: Due to the differences in attributes, styling, and geometry support, converting from KML to GPX (or vice versa) can be lossy. This means some information might be lost in the process.

Practical Advice for Smooth Conversion

  • Always Backup: Before starting any conversion, always keep a backup of your original files.
  • Verify Post-Conversion: After conversion, always check the output file to ensure all necessary data is present and correctly formatted.
  • Use Dedicated Tools: For complex conversions, tools like GDAL or QGIS provide more control and flexibility.
  • Understand the End Use: If you’re converting for a specific purpose, like GPS navigation, ensure the converted file is compatible with the device or software you’re using.

FAQs on Conversion

Is there data loss during conversion?

Potentially, especially in styling and attributes. Always verify the output.

Can I batch-convert multiple files at once?

Yes, using scripting in Python, batch processing in QGIS, or the batch option in ArcGIS Pro

Are there online tools for conversion?

Yes, several online platforms offer KML to GPX conversion and vice versa. However, for sensitive data, offline dedicated software is recommended.

How do I handle errors during conversion?

Errors can arise due to corrupted files, incompatible data, or software bugs. Always refer to the error message, consult the software’s documentation, or seek expert advice.

Why is my converted file larger/smaller than the original?

This can be due to the difference in how each format handles attributes, styling, and geometry. Some information might be expanded, while others are compressed or omitted.

About the Author
I'm Daniel O'Donohue, the voice and creator behind The MapScaping Podcast ( A podcast for the geospatial community ). With a professional background as a geospatial specialist, I've spent years harnessing the power of spatial to unravel the complexities of our world, one layer at a time.

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