How do I install maptrace on Windows or Linux?

Maptrace is a Python script; install it by cloning the GitHub repository and using pip to install dependencies like Pillow, Numpy, Scipy, and Scikit-image as listed in the README.

What's the best way to trace a simple black-and-white map with maptrace?

Start with basic commands from the README examples, such as `python maptrace.py images/pa-counties.png -m 1000`, and adjust flags like -n for iterations or -b for blur to improve accuracy based on your image.

Can maptrace handle maps with multiple colors or gradients?

Yes, it can process color images as shown in the election map example, but you may need to tweak parameters like -C for color reduction or -f for filters to achieve clean vectorization.

maptrace vs Inkscape for vectorizing maps – which should I use?

Maptrace is specialized for producing watertight polygons from map images with more control for this niche, while Inkscape offers general vector tracing but may not ensure gap-free outputs for complex maps.

How to adjust the smoothness of polygons in maptrace?

Use the -e flag for edge smoothing or -s for simplification, as referenced in the example commands, but experiment with values since optimal settings depend on the input image quality.

Is maptrace good for batch converting many small map images?

It can be scripted for batch processing due to its command-line interface, but performance is slow for larger images, so it's best suited for small to medium-sized batches.

Open-Awesome

maptrace

NOASSERTIONPython

A Python tool that converts raster map images into clean, watertight polygonal vector maps for crisp display graphics.

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What is maptrace?

maptrace is a Python tool that converts raster map images into clean, watertight polygonal vector maps. It solves the problem of creating crisp, scalable display graphics from bitmap map images for presentations and articles, specifically avoiding georeferencing functionality to focus on visual quality.

Target Audience

Researchers, journalists, and content creators who need to convert self-created raster map images into clean vector formats for publications and presentations.

Value Proposition

Developers choose maptrace for its focused, single-purpose design that produces watertight polygons without the complexity of full GIS tools, with clear ethical guidelines about appropriate use cases.

Overview

Produce watertight polygonal vector maps by tracing raster images

Use Cases

Best For

Converting self-created raster map images to vector formats for publications
Generating crisp display graphics for academic presentations from bitmap maps
Creating clean polygonal vector maps from simple raster sources
Producing watertight polygon outputs for visual consistency in articles
Processing small to medium-sized map images where GIS functionality isn't required
Transforming election result maps or similar thematic cartography into vector graphics

Not Ideal For

Projects requiring georeferenced vector outputs for integration with GIS software like QGIS or ArcGIS
Processing high-resolution map images over a few megapixels in size due to slow Python performance
Teams that need to vectorize copyrighted or commercial map images without ethical concerns
Applications needing real-time or interactive map rendering for web or mobile use

Pros & Cons

Pros

Watertight Polygon Output

Produces vector maps with no gaps or overlaps, essential for crisp rendering in presentations and articles, as demonstrated in the example outputs.

Ethical Design Philosophy

Explicitly warns against copyright infringement in the README, encouraging responsible use only with self-created raster images.

Command-Line Customizability

Offers various parameters like -m, -e, and -n to fine-tune tracing behavior, as shown in the example commands for different map types.

Focused Simplicity

Designed specifically for raster-to-vector conversion of maps, avoiding the complexity and bloat of full GIS tools.

Cons

Performance Limitations

Admits in the README that Python loops are slow, making it impractical for multi-megapixel images and limiting scalability.

No Georeferencing Support

Outputs are purely visual vector graphics without spatial coordinates, restricting use in any mapping application that requires geographic data.

Complex Parameter Tuning

Requires understanding of multiple command-line flags for optimal results, which can be challenging for users without technical expertise.

Frequently Asked Questions

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