Integrated Valuation of Ecosystem Services and Tradeoffs

A family of tools for quantifying the values of natural capital in clear, credible, and practical ways.
https://github.com/natcap/invest

Category: Sustainable Development
Sub Category: Sustainable Investment

Keywords

ecosystem-services geospatial gis

Keywords from Contributors

energy-system-model climate-model energy-system secret feature-toggle feature-flag featured training control sanitation

Last synced: about 3 hours ago
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Repository metadata

InVEST®: models that map and value the goods and services from nature that sustain and fulfill human life.

README.md

InVEST: Integrated Valuation of Ecosystem Services and Tradeoffs

InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) is a family
of tools for quantifying the values of natural capital in clear, credible, and
practical ways. In promising a return (of societal benefits) on investments in
nature, the scientific community needs to deliver knowledge and tools to
quantify and forecast this return. InVEST enables decision-makers to quantify
the importance of natural capital, to assess the tradeoffs associated with
alternative choices, and to integrate conservation and human development.
Read more at https://naturalcapitalproject.stanford.edu.

Installation

The InVEST desktop application can be downloaded from
releases, or from our
website.

InVEST is also available as a python package. See the API
documentation
for installation instructions.

Downloads of InVEST binaries and sample data for older versions can be found:

Related Repositories

Older versions of InVEST used a few different repositories over the years.
These are archived on github:

Contributing

Please see CONTRIBUTING.md.

Copyright and License Information

A file called LICENSE.txt should have accompanied this distribution. If it
is missing, the license may be found on our project page,
https://github.com/natcap/invest

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: InVEST
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - name: Natural Capital Project
    website: 'https://naturalcapitalproject.stanford.edu'
identifiers:
  - type: doi
    value: 10.60793/natcap-invest-3.16.2
    description: Persistent identifier for this version of InVEST
repository-code: 'https://github.com/natcap/invest'
url: 'https://naturalcapitalproject.stanford.edu/software/invest'
repository-artifact: >-
  http://releases.naturalcapitalproject.org/?prefix=invest/3.16.2
abstract: >-
  InVEST® is a suite of free, open-source software models
  used to map and value the goods and services from nature
  that sustain and fulfill human life.  If properly managed,
  ecosystems yield a flow of services that are vital to
  humanity, including the production of goods (e.g., food),
  life-support processes (e.g., water purification), and
  life-fulfilling conditions (e.g., beauty, opportunities
  for recreation), and the conservation of options (e.g.,
  genetic diversity for future use).  Despite its
  importance, this natural capital is poorly understood,
  scarcely monitored, and, in many cases, undergoing rapid
  degradation and depletion.


  Governments, non-profits, international lending
  institutions, and corporations all manage natural
  resources for multiple uses and inevitably must evaluate
  tradeoffs among them. The multi-service, modular design of
  InVEST provides an effective tool for balancing the
  environmental and economic goals of these diverse
  entities.


  InVEST enables decision makers to assess quantified
  tradeoffs associated with alternative management choices
  and to identify areas where investment in natural capital
  can enhance human development and conservation.  The
  toolset includes distinct ecosystem service models
  designed for terrestrial, freshwater, marine, and coastal
  ecosystems, as well as a number of “helper tools” to
  assist with locating and processing input data and with
  understanding and visualizing outputs.
keywords:
  - Ecosystem Services
  - Geospatial
  - Natural Capital
license: Apache-2.0
version: 3.16.2
date-released: 2025-08-13

Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 15,828
Total Committers: 26
Avg Commits per committer: 608.769
Development Distribution Score (DDS): 0.726

Commits in past year: 1,433
Committers in past year: 14
Avg Commits per committer in past year: 102.357
Development Distribution Score (DDS) in past year: 0.644

Name Email Commits
James Douglass j****s@s****u 4336
davemfish d****h@g****m 3012
emlys e****h@s****u 2866
Rich Sharp r****p@g****m 2052
Joanna Lin c****4@g****m 839
Doug d****4@g****m 809
James Douglass j****a@g****m 771
Will Bierbower w****w@s****u 244
dcdenu4 d****l@l****t 207
Emily Davis e****s@s****u 186
Claire Simpson c****n@s****u 136
Dave Fisher 4****h@u****m 86
Will Bierbower w****r@g****m 66
Megan Nissel m****l@g****m 59
Emily Soth 4****s@u****m 45
Joanna Lin c****i@s****u 36
Emily e****y@E****l 33
GitHub Actions 21
Emily e****y@E****l 16
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Claire Simpson 1****n@u****m 1
Darren Kavanagh d****v@u****m 1
Rolf Simoes r****s@o****g 1
Tom Saleeba t****a@g****m 1
Will Bierbower w****2@u****u 1
newtpatrol 6****l@u****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: about 3 hours ago

Total issues: 1,014
Total pull requests: 1,372
Average time to close issues: 5 months
Average time to close pull requests: 8 days
Total issue authors: 29
Total pull request authors: 18
Average comments per issue: 1.91
Average comments per pull request: 0.81
Merged pull request: 1,086
Bot issues: 7
Bot pull requests: 234

Past year issues: 205
Past year pull requests: 524
Past year average time to close issues: 21 days
Past year average time to close pull requests: 4 days
Past year issue authors: 14
Past year pull request authors: 12
Past year average comments per issue: 0.86
Past year average comments per pull request: 0.4
Past year merged pull request: 366
Past year bot issues: 0
Past year bot pull requests: 82

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/natcap/invest

Top Issue Authors

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  • davemfish (267)
  • emlys (219)
  • dcdenu4 (153)
  • newtpatrol (18)
  • claire-simpson (14)
  • emilyanndavis (14)
  • richpsharp (11)
  • github-actions[bot] (7)
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Top Pull Request Authors

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  • natcap-bot (36)
  • claire-simpson (33)
  • megannissel (23)
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  • dkav (8)
  • dependabot[bot] (3)
  • R-Stev (2)
  • newtpatrol (2)
  • rolfsimoes (1)

Top Issue Labels

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Package metadata

pypi.org: natcap.invest

InVEST Ecosystem Service models

  • Homepage:
  • Documentation: https://natcap.invest.readthedocs.io/
  • Licenses: apache-2.0
  • Latest release: 3.16.2 (published about 2 months ago)
  • Last Synced: 2025-09-30T02:47:18.323Z (1 day ago)
  • Versions: 42
  • Dependent Packages: 2
  • Dependent Repositories: 8
  • Downloads: 2,144 Last month
  • Rankings:
    • Dependent packages count: 3.165%
    • Dependent repos count: 5.161%
    • Average: 7.264%
    • Downloads: 13.466%
  • Maintainers (4)
conda-forge.org: natcap.invest

InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) is a family of tools for quantifying the values of natural capital in clear, credible, and practical ways. In promising a return (of societal benefits) on investments in nature, the scientific community needs to deliver knowledge and tools to quantify and forecast this return. InVEST enables decision-makers to quantify the importance of natural capital, to assess the tradeoffs associated with alternative choices, and to integrate conservation and human development.

  • Homepage: https://github.com/natcap/invest
  • Licenses: Apache-2.0
  • Latest release: 3.12.0 (published about 3 years ago)
  • Last Synced: 2025-09-30T02:47:22.207Z (1 day ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Forks count: 27.133%
    • Stargazers count: 33.132%
    • Dependent repos count: 34.025%
    • Average: 36.366%
    • Dependent packages count: 51.175%

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