Skip to main content

PyFVS - Python wrappers for Open-FVS.

Project description

PyFVS - Python wrappers for Open-FVS.

The Forest Vegetation Simulator (FVS) growth and yield model developed by the USDA Forest Service. FVS includes a suite of regional variants, individually calibrated to predict the growth and mortality of tree species within a defined geographic area. Refer to the FVS website for documentation and supported production software packages. http://www.fs.fed.us/fmsc/fvs/

Open-FVS was established as an open source project to facilitate colaborative development and code distribution. The Open-FVS SVN repository contains both the official code base as well as development and feature branches. The official code base is maintained by staff at the Forest Management Service Center (FMSC). https://sourceforge.net/projects/open-fvs/

PyFVS is being developed to provide a Pythonic interface to the FVS model. PyFVS originated as a branch of the Open-FVS code base. Currently PyFVS exists in two forms, as a branch contained in the Open-FVS SVN repository as well as a fork hosted on GitHub. The SVN branch supports simple wrapper libraries generated with F2PY. The GitHub fork is used for development and includes a number of modifications to enhance the FVS API. There is also a Python package being developed as a high level abstraction of the FVS libaray API. The GitHub fork is periodically integrated with the SVN repository and generally tracks the trunk branch in SVN.

PyFVS is provided “as-is”. There is no official support. Please submit bug reports, ideas, enhancement requests, etc. using GitHub issues.

If you would like to contribute to the effort please fork the repository on GitHub. Pull requests would gladly be considered.

https://sourceforge.net/p/open-fvs/code/HEAD/tree/branches/PyFVS/ https://github.com/tharen/PyFVS https://github.com/tharen/PyFVS/issues

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

pyfvs-0.0.13-cp36-cp36m-win_amd64.whl (15.7 MB view details)

Uploaded CPython 3.6m Windows x86-64

pyfvs-0.0.13-cp35-cp35m-win_amd64.whl (15.7 MB view details)

Uploaded CPython 3.5m Windows x86-64

pyfvs-0.0.13-cp34-cp34m-win_amd64.whl (15.6 MB view details)

Uploaded CPython 3.4m Windows x86-64

pyfvs-0.0.13-cp27-cp27m-win_amd64.whl (15.6 MB view details)

Uploaded CPython 2.7m Windows x86-64

File details

Details for the file pyfvs-0.0.13-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for pyfvs-0.0.13-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 4840ced9ad120e3186ed174aaee51d4853d5eadeb2cc1abf635c419c26a99ec4
MD5 2903f1ed82fed9354ee1d23f2b01eb89
BLAKE2b-256 c32f0373e93e4996d4b612d98a3cc44289606ee990b5094625499ca54e9c8200

See more details on using hashes here.

File details

Details for the file pyfvs-0.0.13-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for pyfvs-0.0.13-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 0d841d3b3eb401eaf1706c6dc85dd9434dbaddc45cbf6519bb7f00ba1a9eb1e0
MD5 dddfd8040acb7c30c69f9fe5139a1581
BLAKE2b-256 fb6a258a659310eb33531de5172ca6a41ee28660e38b519b0b88359bf386949e

See more details on using hashes here.

File details

Details for the file pyfvs-0.0.13-cp34-cp34m-win_amd64.whl.

File metadata

File hashes

Hashes for pyfvs-0.0.13-cp34-cp34m-win_amd64.whl
Algorithm Hash digest
SHA256 309555815c3b3b43e9effcba6c2653cf3c2bda2145774c5512626ff73fd4c2cf
MD5 27fdab1905702208c8857a75d1e8c189
BLAKE2b-256 3d37f8d170d071120ce0cb9f1ab59e23a4bdc0ba18fd50afb0152e565a4ffa36

See more details on using hashes here.

File details

Details for the file pyfvs-0.0.13-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for pyfvs-0.0.13-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 29a6f4050e6878ff78f5f82f249d99e83d9d4725f273bba9d3081134ac204a05
MD5 f081f6a798a2ec0b94608a6c3c87ee2b
BLAKE2b-256 46a4693b89199e69d77d66e41f7f44f805e4365c0f4d393c50384c93037a214e

See more details on using hashes here.

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