Skip to main content

Convert geographic rasters into simplified polygons

Project description

Geopolygonize

Convert geographic rasters into simplified polygons. Given an input raster file, this tool produces a shapefile representation of the raster that simplifies out pixelation. It also maintains shapes' relations to one another such that the output is guaranteed to have no gaps.

Algorithm

Most existing methods for polygon simplification such as the Douglas–Peucker simplification algorithm or concave hulls operate on a single polygon at a time. This presents a problem when run on a collection of polygons that fit together perfectly–simplifying each polygon separately will introduce unpredictable gaps. Our algorithm takes an approach similar to TopoJSON. It identifies the boundaries shared between polygons, simplifies those boundaries, then assigns the simplified boundaries back to the polygons. This results in simplified polygons that fit perfectly together without any gaps.

Install

pip install geopolygonize

Quickstart

To convert a raster to simplified polygons, run:

geopolygonize --input-file="data/input.tif" --output-file="data/output.shp"

CLI Options

--min-blob-size

Optional raster preprocessing step to remove pixels that are not connected to neighboring pixels with the same value. This value dictates the minimum number of pixels of the same value each must be connected to in order to be kept. Pixels in blobs smaller than this value will be removed and filled with the most common pixel value surrounding it.

--tile-size

The polygonization process can be run in parallel to speed up the computation. To prepare to process in parallel, the raster is cut into square tiles of this number of pixels.

--workers

Number of workers that should be spawned to process tiles in parallel.

Development

Install the requirements:

pip install -r requirements.txt

# TODO: API docs

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geopolygonize-0.1.3.tar.gz (14.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

geopolygonize-0.1.3-py3-none-any.whl (17.2 kB view details)

Uploaded Python 3

File details

Details for the file geopolygonize-0.1.3.tar.gz.

File metadata

  • Download URL: geopolygonize-0.1.3.tar.gz
  • Upload date:
  • Size: 14.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for geopolygonize-0.1.3.tar.gz
Algorithm Hash digest
SHA256 b4e77f64467d15fda62fa802a1efff709bbdd0ef3c9d9b009460170149e31103
MD5 316a9de2a1cf5d481235ae6d80fb611a
BLAKE2b-256 7f0fe094f0a6901bc789272281293def128595706400356bd210650973a59b67

See more details on using hashes here.

File details

Details for the file geopolygonize-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: geopolygonize-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 17.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for geopolygonize-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 38b686d5f73b35ccd2d711accdbcbf390150452ba0b8b22e61bab670b65bb093
MD5 eb608cff1a818f2118852ea3a465fb38
BLAKE2b-256 e1e5245fc9202fa3d28113f00d51bbbab7a349e29c47c76147c21fec6bf46272

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page