27 docs tagged with "Smart-Foodsheds"

API access to the US Bureau of Transportation Statistics' Freight Analysis Framework dataset

How-to Guides for FAF-API-ICICLE. This is a hosted REST API to the US Bureau of Transportation Statistics (BTS) Freight Analysis Framework (FAF) dataset.

This is intended as a helpful front end to a REST API to the US Bureau of Transportation Statistics (BTS) Feight Analysis Framework (FAF) dataset. It has been developed by the Data To Insight Center (D2I) at Indiana University as part of the NSF ICICLE AI Institute and in collaboration with the US Department of Transportation, Bureau of Transportation Statistics, and the University of Wisconsin-Madison. See FAF-API-ICICLE. This project was generated with Angular CLI version 18.2.12.

Explanation for FafFrontend. This is intended as a helpful front end to a REST API to the US Bureau of Transportation Statistics (BTS) Feight Analysis…

How-To Guides for FafFrontend. This is intended as a helpful front end to a REST API to the US Bureau of Transportation Statistics (BTS) Feight Analysis…

Explanation for FEAST. The Food Equity Access Simulation Technology (FEAST) tool — previously known as the Food Access and Strategy Simulation (FASS) tool —…

How To Guide for FEAST. The Food Equity Access Simulation Technology (FEAST) tool — previously known as the Food Access and Strategy Simulation (FASS) tool —…

Tutorials for FEAST. The Food Equity Access Simulation Technology (FEAST) tool — previously known as the Food Access and Strategy Simulation (FASS) tool — is…

Overview

Explanation for Food Waste Ontology Chatbot. This project provides an interactive chatbot interface to explore and build structured ontologies for food waste.

How to Guide for Food Waste Ontology Chatbot. This project provides an interactive chatbot interface to explore and build structured ontologies for food waste.

The GNN Food Flow Portal is a Streamlit web app for exploring county-level U.S. food-flow predictions from the GNN FoodFlow Model. Version 1.2.0 includes the original parallel SCTG-specific model exploration workflow plus a new multi-task GNN what-if portal for one-to-one and one-to-many county scenario analysis.

Explanation for GNNFoodFlowPortal. The GNN Food Flow Portal is a Streamlit web app for exploring county-level U.S.

How-To Guides for GNNFoodFlowPortal. The GNN Food Flow Portal is a Streamlit web app for exploring county-level U.S.

Tutorials for GNNFoodFlowPortal. The GNN Food Flow Portal is a Streamlit web app for exploring county-level U.S.

A project leveraging Graph Neural Networks (GNNs) to predict food flows between counties and FAF zones for economic planning, infrastructure development, and policy-making. This model predicts food trade flows between U.S. counties and Freight Analysis Framework (FAF) zones using Graph Neural Networks (GNNs). It addresses the challenges of sparsity in trade data by applying a two-stage hurdle model that distinguishes between the presence and magnitude of trade.

Explanation for Multi-Scale Food Flow Prediction using Graph Neural Networks. A project leveraging Graph Neural Networks (GNNs) to predict food flows between…

How-To Guides for Multi-Scale Food Flow Prediction using Graph Neural Networks. A project leveraging Graph Neural Networks (GNNs) to predict food flows…

This repository contains code for training and evaluating models that classify organizations into Standard Industrial Classification (SIC) codes based on different types of descriptive text. This model is designed for researchers and data scientists who need to categorize unknown or newly listed organizations by business type. It can be applied to tasks such as food systems research, analyzing supply chains, and regional economic mapping, particularly in scenarios where structured corpora are unavailable. Given only an organization’s name and its description, the model predicts a high-level SIC category.

Explanation for Organization-SIC-Classifier-for-Smart-Foodsheds. This repository contains code for training and evaluating models that classify organizations…

How-To Guides for Organization-SIC-Classifier-for-Smart-Foodsheds. This repository contains code for training and evaluating models that classify…

This repository contains a LinkML schema for a version of the PPOD (Persons-Projects-Organizations-Datasets) data pattern that describes resources being cataloged by the UC Davis Food Systems Lab. These are resources pertinent to California foodsheds and conservation activities, and include lists of organizations, people, programs, projects, tools, datasets, and guidelines and mandates. These resources are currently maintained in a Google Sheets document which is converted into a RDF Turtle file using a Python script that is posted in the PPODtottl repository.

Explanation for PPODLinkML. This repository contains a LinkML schema for a version of the PPOD (Persons-Projects-Organizations-Datasets) data pattern that…

This tapis ui extension enables additional icicle specific branding and tabs on tapisui.

Explanation for TapisUI. This tapis ui extension enables additional icicle specific branding and tabs on tapisui.

How-To Guides for TapisUI. This tapis ui extension enables additional icicle specific branding and tabs on tapisui.

The Food Equity Access Simulation Technology (FEAST) tool — previously known as the Food Access and Strategy Simulation (FASS) tool — is a powerful platform for analyzing how changes in the food retail landscape, such as adding or removing stores, affect household food access. FEAST enables users to simulate and evaluate strategies aimed at improving food equity across communities.