Repository for Gravity Field Modeling and Recovery using Machine Learning Methods
Numerical simulation of orbital dynamics under the Moon's non-uniform gravitational field (J2, mascons).
Streamline transportation planning with the Gravity Model's Python implementation. This repository offers a comprehensive README, user-friendly Python script, and practical examples, making it straightforward for users to implement and adapt the model to their specific urban planning scenarios.
A performance-effective program for gravity field calculation for layered ellipsoidal density model.
The implementation of the Small Bodies Geophysical Analysis Tool (SBGAT)
A QGIS plugin for spatial analysis
End-to-End Python econometric pipeline for modeling geopolitical risk in international trade using advanced Bayesian filtering, high-dimensional fixed effects, and split-panel jackknife inference. Replicates Hardwick's (2025) methodology with full robustness testing and automated reporting.
Stochastic model of invasive zebra/quagga mussel spread as facilitated by boat traffic, built for QGIS
R & STATA code for (1) PPML gravity model (IV generation), (2) panel fixed effect regression (1st stage regression), and (3) local projection method
This project implements a gravity accelerator using Verilog and Vivado. It simulates the physics of gravitational acceleration, calculating velocity and position over time within a digital circuit environment. The project includes testbenches and waveform analysis to ensure accurate simulation and performance.
A Gravity Model Analysis of High Speed Rail (HSR) Routes in North America
Data and code for the paper 'Understanding China’s urban system evolution from web search index data'
A package for downloading data from the UN Comtrade Database
Soukhov A, Páez A, Higgins CD, Mohamed M (2023) Introducing spatial availability, a singly-constrained measure of competitive accessibility. PLOS ONE 18(1): e0278468. https://doi.org/10.1371/journal.pone.0278468
Discrete Unification Theory
This script estimates a gravity model of international trade based on a setting file.
🌍 Model political distance and trade dynamics using a quantitative framework to enhance understanding of international trade relationships.
Estimating value added adjusted gravity models to explain the relationship between preferential trade agreements and global value chain participation. Robustness of models are checked using a specification curve analysis.
Automated trade data pipeline for analyzing the impact of Free Trade Agreements (FTAs) and tariffs on U.S. agricultural exports. Integrates global datasets from USDA, WTO, World Bank, and IMF.
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