Volume 36, Issue 8

Search all Stochastic Environmental Research and Risk Assessment articles

August 2022

Special Issue: Spatiotemporal Data Science: Theoretical Advances and Applications

Issue Editors:

Federico Amato,
Luigi Lombardo,
Marj Tonini,
Antonino Marvuglia,
Daniela Castro-Camilo,
Fabian Guignard

21 articles in this issue

Spatiotemporal data science: theoretical advances and applications
Federico Amato
Luigi Lombardo
Fabian Guignard
Editorial 26 August 2022 Pages: 2027 - 2029
On the prediction of landslide occurrences and sizes via Hierarchical Neural Networks
Quinton Aguilera
Luigi Lombardo
Aldo Lipani
Original Paper Open access 01 April 2022 Pages: 2031 - 2048
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential
Federico Amato
Fabian Guignard
Mikhail Kanevski
Original Paper Open access 12 July 2022 Pages: 2049 - 2069
Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica
Erin Bryce
Luigi Lombardo
Daniela Castro-Camilo
Original Paper Open access 02 June 2022 Pages: 2071 - 2084
Geostatistical based framework for spatial modeling of groundwater level during dry and wet seasons in an arid region: a case study at Hadat Ash-Sham experimental station, Saudi Arabia
Jaka S. Budiman
Nassir S. Al-Amri
Amro M. M. Elfeki
Original Paper 22 January 2021 Pages: 2085 - 2099
A new picking algorithm based on the variance piecewise constant models
Nicoletta D’Angelo
Andrea Di Benedetto
Marcello Chiodi
Original Paper Open access 11 April 2022 Pages: 2101 - 2113
Using data-driven algorithms for semi-automated geomorphological mapping
Elisa Giaccone
Fabio Oriani
Grégoire Mariéthoz
Original Paper Open access 30 July 2021 Pages: 2115 - 2131
Solving three major biases of the ETAS model to improve forecasts of the 2019 Ridgecrest sequence
Christian Grimm
Sebastian Hainzl
Helmut Küchenhoff
Original Paper Open access 16 April 2022 Pages: 2133 - 2152
Data-driven approaches for runoff prediction using distributed data
Heechan Han
Ryan R. Morrison
Original Paper 24 February 2021 Pages: 2153 - 2171
Temporal downscaling of precipitation from climate model projections using machine learning
Azin Al Kajbaf
Michelle Bensi
Kaye L. Brubaker
Original Paper 09 July 2022 Pages: 2173 - 2194
Horizontal grid spacing comparison among Random Forest algorithms to nowcast Cloud-to-Ground lightning occurrence
Alice La Fata
Federico Amato
Elisabetta Fiori
Original Paper Open access 20 April 2022 Pages: 2195 - 2206
Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China
Wenjuan Li
Zhice Fang
Yi Wang
Original Paper 20 June 2021 Pages: 2207 - 2228
From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations
Luigi Lombardo
Hakan Tanyas
OriginalPaper Open access 17 April 2021 Pages: 2229 - 2242
From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations
Luguang Luo
Luigi Lombardo
Runqiu Huang
Original Paper Open access 13 January 2021 Pages: 2243 - 2264
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases
Poshan Niraula
Jorge Mateu
Somnath Chaudhuri
Original Paper 25 January 2022 Pages: 2265 - 2283
Analysis of precipitation dynamics at different timescales based on entropy theory: an application to the State of Ceará, Brazil
Larissa Zaira Rafael Rolim
Samiria Maria Oliveira da Silva
Francisco de Assis de Souza Filho
Original Paper 06 November 2021 Pages: 2285 - 2301
A PCA-based clustering algorithm for the identification of stratiform and convective precipitation at the event scale: an application to the sub-hourly precipitation of Sicily, Italy
Gianluca Sottile
Antonio Francipane
Leonardo V. Noto
Original Paper Open access 15 June 2021 Pages: 2303 - 2317
A method to increase the number of positive samples for machine learning-based urban waterlogging susceptibility assessments
Xianzhe Tang
Jiufeng Li
Fangfang Wang
Original Paper 06 July 2021 Pages: 2319 - 2336
Bayesian time-varying occupancy model for West Nile virus in Ontario, Canada
Seth D. Temple
Carrie A. Manore
Kimberly A. Kaufeld
Original Paper Open access 28 June 2022 Pages: 2337 - 2352
A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information
Di Tian
Xiaogang He
Latif Kalin
Original Paper 22 April 2021 Pages: 2353 - 2375
Statistical spatiotemporal analysis of hydro-morphological processes in China during 1950–2015
Nan Wang
Weiming Cheng
Liang Guo
Original Paper 19 April 2021 Pages: 2377 - 2397

Volume 36, Issue 8

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