hestia-earth-models 0.64.5

HESTIA's set of modules for filling gaps in the activity data using external datasets (e.g. populating soil properties with a geospatial dataset using provided coordinates) and internal lookups (e.g. populating machinery use from fuel use). Includes rules for when gaps should be filled versus not (e.g. never gap fill yield, gap fill crop residue if yield provided etc.).

HESTIA Engine Models

HESTIA's set of models for running calculations or retrieving data using external datasets and internal lookups.

Documentation

Documentation for every model can be found in the HESTIA API Documentation.

Install

1. Install python 3 (we recommend using python 3.6 minimum)
2. Install the module:

pip install hestia_earth.models

3. Set the following environment variables:

API_URL=https://api.hestia.earth
WEB_URL=https://hestia.earth

Usage

from hestia_earth.models.pooreNemecek2018 import run

# cycle is a JSONLD node Cycle
run('no3ToGroundwaterSoilFlux', cycle_data)

Additionally, to reduce the number of queries to the HESTIA API and run the models faster, prefetching can be enabled:

from hestia_earth.models.preload_requests import enable_preload

enable_preload()

Using Spatial Models

We have models that can gap-fill geographical information on a Site. If you want to use these models:

1. Install the library: pip install hestia_earth.earth_engine
2. Follow the Getting Started instructions.

Using the ecoinventV3 model

ecoinvent is a consistent, transparent, and well validated life cycle inventory database. We use ecoinvent data to ascertain the environmental impacts of activities that occur outside of our system boundary, for example data on the environmental impacts of extracting oil and producing diesel, or the impacts of manufacturing plastics.

The ecoinventV3 model requires a valid license to run. We are currently working on a way to enable users of this code with a valid ecoinvent licence to run these models themselves, but for now, these models are only available on the public platform.