Predicting into unknown space? Estimating the area of applicability of spatial prediction models

16 May 2020

Papers citing "Predicting into unknown space? Estimating the area of applicability of spatial prediction models"

18 / 18 papers shown

Title
Earth System Data Cubes: Avenues for advancing Earth system research David Montero Guido Kraemer Anca Anghelea C. Aybar Gunnar Brandt ... Francesco Martinuzzi Martin Reinhardt Maximilian Sochting Khalil Teber Miguel D. Mahecha 33 2 0 05 Aug 2024
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction Yanwen Wang Mahdi Khodadadzadeh Raul Zurita-Milla 26 0 0 19 Apr 2024
The CAST package for training and assessment of spatial prediction models in R Hanna Meyer M. Ludwig Carles Mila Jan Linnenbrink Fabian Schumacher 24 7 0 10 Apr 2024
A review of regularised estimation methods and cross-validation in spatiotemporal statistics Philipp Otto A. Fassò Paolo Maranzano 30 1 0 31 Jan 2024
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction Geethen Singh Glenn Moncrieff Zander Venter Kerry Cawse-Nicholson Jasper Slingsby Tamara B. Robinson 34 13 0 12 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
Data-Centric Digital Agriculture: A Perspective R. Roscher Lukas Roth C. Stachniss Achim Walter 15 2 0 06 Dec 2023
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting Linxiao Yang Rui Ren Xinyue Gu Liang Sun 19 6 0 24 Oct 2023
Correcting sampling biases via importance reweighting for spatial modeling Boris Prokhorov Diana Koldasbayeva Alexey Zaytsev 21 0 0 09 Sep 2023
Mapping historical forest biomass for stock-change assessments at parcel to landscape scales L. Johnson Michael J. Mahoney Madeleine L. Desrochers Colin M. Beier 20 6 0 05 Apr 2023
waywiser: Ergonomic Methods for Assessing Spatial Models M. Mahoney 16 3 0 20 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 11 9 0 13 Mar 2023
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data Georgia Papacharalampous Hristos Tyralis Anastasios Doulamis N. Doulamis 27 15 0 17 Dec 2022
Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions M. Appel 10 3 0 18 Aug 2022
Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages L. Johnson M. Mahoney E. Bevilacqua S. Stehman G. Domke Colin M. Beier AI4CE 25 12 0 17 May 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 45 127 0 11 Apr 2022
mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R P. Schratz Marc Becker Michel Lang A. Brenning 28 6 0 25 Oct 2021
Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction H. Meyer C. Reudenbach Stephan Wöllauer T. Nauss 51 289 0 21 Aug 2019