Grid-Based Earthquake Forecasting with ConvLSTM
Abstract
A complete, reproducible framework for spatiotemporal earthquake forecasting using Convolutional Long Short-Term Memory (ConvLSTM) networks. This code implements the methods described in the IEEE Access paper "Grid-Based Monthly Earthquake Forecasting Using Convolutional Long Short-Term Memory Networks: A Reproducible Framework for Southwestern China".
Fields of Study & Subjects
Seismology and Earthquake Studies
Earthquake Detection and Analysis
earthquake and tectonic studies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 January 2026