The integrated ABM model
The source code of the computational models developed within the project
is made openly available through platforms such as GitHub and archived for long-term
preservation through Zenodo:
The ECOWHEATALY dataset & scripts
ECOWHEATALY: calibration dataset for an agent-based model of Italian durum wheat farms based on RICA and ISTAT census.
In the framework of Ecowheataly, parameter values that enter the microeconomic farm model are estimated using both Italian farm accounting microdata (RICA, Agricultural Accounting Information Network) and structural information from the 2020 Agricultural census (ISTAT, Italian National Institute of Statistics). The RICA survey is the harmonized European source for farm management and economic variables, coordinated in Italy by the Council for Research and Analysis of Agricultural Economics (CREA). On the other hand, the ISTAT agricultural census provides a comprehensive picture of the structure of Italian agricultural holdings at the national and sub-national levels. Elaborations built from such microdata form the Ecowheataly dataset.
The Ecowheataly dataset is composed of 2 blocks:
- Block 1 derived from RICA database
- Block 2 derived from ISTAT – 7th General Census of Agriculture
Other datasets and databases generated during the project are also made available through
open repositories on Github
The Italian Agricultural Regions Dataset
A georeferenced dataset in delineating the boundaries of the Italian Agricultural Regions as defined by INEA (CREA) and used in the FADN/RICA database. This dataset, in a shapefile format, opens the possibility of conducting geographical and climatic analyses on thousands of data on farms sampled every year in Italy by the FADN/RICA network.
The dataset is accompanied by supplementary information on the municipalities belonging to the Agronomic Regions (ARs). Specifically, for each AR, the list of statistical codes and names of administrative units (municipalities, provinces, and regions) used by ISTAT, the Italian National Institute of Statistics, is provided (attributes.zip). This way, users can easily trace the municipalities and related information that comprise each AR. Moreover, the dataset also includes the source and ancillary data used to build the dataset.
Dataset is available in Zenodo