Importance of spatial predictor variable selection in machine learning
applications -- Moving from data reproduction to spatial prediction

Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction

21 August 2019

Stephan Wöllauer

Papers citing "Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction"

17 / 17 papers shown

Title
Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia Rolando Gonzales Martinez Mariza Cooray 34 0 0 06 Mar 2025
Variable importance measure for spatial machine learning models with application to air pollution exposure prediction Si Cheng M. Blanco L. Sheppard Ali Shojaie Adam Szpiro 26 0 0 04 Jun 2024
The CAST package for training and assessment of spatial prediction models in R Hanna Meyer M. Ludwig Carles Mila Jan Linnenbrink Fabian Schumacher 16 7 0 10 Apr 2024
A review of regularised estimation methods and cross-validation in spatiotemporal statistics Philipp Otto A. Fassò Paolo Maranzano 28 1 0 31 Jan 2024
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 34 10 0 08 Dec 2023
Challenges in data-based geospatial modeling for environmental research and practice Diana Koldasbayeva P. Tregubova M. Gasanov Alexey Zaytsev Anna Petrovskaia E. Burnaev AI4CE 29 1 0 18 Nov 2023
Evaluation Challenges for Geospatial ML Esther Rolf ELM 20 10 0 31 Mar 2023
Assessing the performance of spatial cross-validation approaches for models of spatially structured data M. Mahoney L. Johnson Julia Silge Hannah Frick Max Kuhn Colin M. Beier 6 9 0 13 Mar 2023
A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review Luca Patelli M. Cameletti Natalia Golini R. Ignaccolo 10 2 0 08 Mar 2023
EM algorithm for generalized Ridge regression with spatial covariates Said Obakrim P. Ailliot V. Monbet N. Raillard 14 0 0 09 Aug 2022
Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region Danyang Li Joaquín Gajardo Michele Volpi T. Defraeye 12 2 0 28 Mar 2022
A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data R. Khushaba A. Melkumyan A. J. Hill 10 12 0 07 Feb 2022
Earthquake Nowcasting with Deep Learning Geoffrey C. Fox John B. Rundle A. Donnellan Bo Feng AI4Cl AI4CE 32 6 0 18 Dec 2021
Continental-scale land cover mapping at 10 m resolution over Europe (ELC10) Z. Venter M. Sydenham 30 68 0 22 Apr 2021
Autocart -- spatially-aware regression trees for ecological and spatial modeling Ethan Ancell Brennan Bean 11 1 0 20 Jan 2021
On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction C. Muehlmann K. Nordhausen Mengxi Yi 12 11 0 01 Jul 2020
Predicting into unknown space? Estimating the area of applicability of spatial prediction models H. Meyer E. Pebesma 16 240 0 16 May 2020