首页/数据集/Data and codes for Landslide hazard spatiotemporal modelling: a unified and data-driven framework

Data and codes for Landslide hazard spatiotemporal modelling: a unified and data-driven framework

NIAID Data Ecosystem2026-05-01 收录

滑坡灾害预测

时空建模

数据链接：

https://zenodo.org/record/8112155 数据链接链接失效反馈

官方服务：

资源简介：

Data and codes for Landslide hazard spatiotemporal modelling: a unified and data-driven framework

应用场景：

创建时间：

2023-07-05

滑坡灾害预测

元胞自动机

Authors: Jianhua Chen 1 , Kaihang Xu 1, 2 , Zheng Zhao 3 , Xianxia Gan 1 , Huawei Xie 1 (1 College of Geophysics, Chengdu University of Technology, C

Figshare2023-10-15 更新60

El Salvador municipal map-shx.

帮派暴力分析

时空建模

Most violence in El Salvador has been attributed to gangs. After being one of the most violent societies worldwide, in 2023, the country’s homicide rate reached a low 2.4 per 100,000 population. The d

NIAID Data Ecosystem30

Unsaturated flow processes and the onset of seasonal deformation in slow-moving landslides

滑坡灾害预测

非饱和带水文

Predicting rainfall-induced landslide failure is challenging because shallow groundwater flow is extremely sensitive to the preexisting moisture content in the ground. Here, we use groundwater hydrolo

DataCite Commons2023-09-15 更新20

A Practical Sequential Stopping Rule for High-Dimensional Markov Chain Monte Carlo

高维MCMC收敛诊断

时空建模

A current challenge for many Bayesian analyses is determining when to terminate high-dimensional Markov chain Monte Carlo simulations. To this end, we propose using an automated sequential stopping pr

Taylor & Francis Group2023-05-31 更新50

A Bayesian Monte Carlo approach for predicting the spread of infectious diseases

传染病预测

时空建模

In this paper, a simple yet interpretable, probabilistic model is proposed for the prediction of reported case counts of infectious diseases. A spatio-temporal kernel is derived from training data to

NIAID Data Ecosystem30

Data and codes for Landslide hazard spatiotemporal modelling: a unified and data-driven framework

资源简介：

相关数据集