Skip to main content

A geospatial package for cleaning up polygon data.

Project description

polyclean

Clean up geospatial polygon datasets.

This package provides utilities for cleaning up messy polygon data in geospatial datasets. It aims to provide solutions to common issues such as holes, gaps, and overlaps. Generally, functions expect a geopandas.GeoDataFrame as input and will return one as well. Polygons are thus always passed around as data frames, making it easy to translate them to and from commonly used geospatial file formats (e.g. OGC GeoPackage, ESRI Shapefile). This has the added benefit of mimicking the way vector workflows are done in QGIS or ArcGIS, making the package more intuitive to use (hopefully).

This package relies heavily on Geopandas and Shapely, so understanding how those packages handle vector data will aid with understanding polyclean utilities.

Examples

Fill Holes

Holes in polygons can be filled in based on area. To fill in all holes in a dataset, set the threshold value to a very large value (e.g. 1e6).

holes_examplepng

Fill Gaps

Gaps between polygons can be identified and eliminated. A new field called gap is created, with gap polygons given a value of 1 and non-gap polygons (i.e. the original polygons) given the value NaN. These gaps can be automatically removed by folding them into the polygon with which they share the longest edge. This mimics the functionality of the the ArcGIS Eliminate tool.

combined

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

polyclean-0.1.7.tar.gz (6.6 kB view details)

Uploaded Source

Built Distribution

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

polyclean-0.1.7-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file polyclean-0.1.7.tar.gz.

File metadata

  • Download URL: polyclean-0.1.7.tar.gz
  • Upload date:
  • Size: 6.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for polyclean-0.1.7.tar.gz
Algorithm Hash digest
SHA256 285aeba064730416671119484779540aa10c36e688e620fb2d89d86707aedc3b
MD5 d3a7c47f1e9b8fc92fe63f612253a768
BLAKE2b-256 c5167afe34ff08d06056edf1627a9d52c38606f885efee467fe0e8a5c967e61d

See more details on using hashes here.

File details

Details for the file polyclean-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: polyclean-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 7.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for polyclean-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 ba4d737bd6234e580fcdfb4f02bc44fa9eda50e249ed604d963155d99e75328d
MD5 b7fe8f67b4a406f1ce46b4455904699a
BLAKE2b-256 0c148f43bc8d1d46ebe779db5a1653a9b16b9ddf51ae1aac468304b7da79d226

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