Skip to main content

TOBLER: Areal Interpolation

Project description

Build Status Coverage Status PyPI - Python Version PyPI Conda (channel only) GitHub commits since latest release (branch) DOI

Tobler is a python package for areal interpolation, dasymetric mapping, and change of support.

tobler provides:

  • areal interpolation for intensive and extensive variables
  • use raster files to improve interpolation accuracy
    • areal interpolation assuming data should only be allocated to specific land types
    • model-based interpolation using regression approaches that incorporates auxiliary data
  • Much more to come!

Easily convert geospatial data from one polygonal representation to another:

Improve conversion accuracy by incorporating raster image data from satellites:

Installation

$ conda env create -f environment.yml
$ conda activate tobler 
$ python setup.py develop

Contribute

PySAL-tobler is under active development and contributors are welcome.

If you have any suggestion, feature request, or bug report, please open a new issue on GitHub. To submit patches, please follow the PySAL development guidelines and open a pull request. Once your changes get merged, you’ll automatically be added to the Contributors List.

License

The project is licensed under the BSD license.

Funding

Award #1733705 Neighborhoods in Space-Time Contexts

Award #1831615 Scalable Geospatial Analytics for Social Science Research

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

tobler-0.2.0.tar.gz (18.1 kB view details)

Uploaded Source

Built Distributions

tobler-0.2.0-py3.7.egg (18.9 kB view details)

Uploaded Source

tobler-0.2.0-py3-none-any.whl (20.3 kB view details)

Uploaded Python 3

File details

Details for the file tobler-0.2.0.tar.gz.

File metadata

  • Download URL: tobler-0.2.0.tar.gz
  • Upload date:
  • Size: 18.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200102 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for tobler-0.2.0.tar.gz
Algorithm Hash digest
SHA256 ee57d8a1226f9ba0138cc3da1ce9721a71a88a49e215258f18fd804afc9da376
MD5 ea05c913fde64c474d661a140cbf842d
BLAKE2b-256 f34ae4a1831b13f189fbbd5929a70621d0ea2e7387ca2ef6a84ecea5c0804286

See more details on using hashes here.

Provenance

File details

Details for the file tobler-0.2.0-py3.7.egg.

File metadata

  • Download URL: tobler-0.2.0-py3.7.egg
  • Upload date:
  • Size: 18.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200102 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for tobler-0.2.0-py3.7.egg
Algorithm Hash digest
SHA256 5671372336d7f9bf12e7df30446392e968266ef7081f32590fdd7c8bc15572c2
MD5 6ff9528688aa05cd0250abcad12fc2d6
BLAKE2b-256 0c2a3cc6744e0bc698b1092024a268c5ab55ba90f1005b9c313537c46cda26c4

See more details on using hashes here.

Provenance

File details

Details for the file tobler-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: tobler-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 20.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200102 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for tobler-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a72fea947150494c4de2e35ecb6d39502905deaf1a257dce5d35062bc21b70ac
MD5 a836da0cea116e61e4cfb2ed4aaf3cc5
BLAKE2b-256 6cca5ea73d1aa29d4c91ab2e8e2b9b8ff66044f5a5b75edc778b7aa4772a6ccd

See more details on using hashes here.

Provenance

Supported by

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