JDSJournal of Data Science1683-86021680-743X1680-743XSchool of Statistics, Renmin University of ChinaJDS204EDI10.6339/22-JDS204EDIEditorialEditorial: Large-Scale Spatial Data ScienceAbdulahSameh1CastruccioStefano2GentonMarc G.marc.genton@kaust.edu.sa13∗SunYing13Extreme Computing Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi ArabiaDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USAStatistics Program, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi ArabiaCorresponding author. Email: marc.genton@kaust.edu.sa.2022111120222044374382022 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.2022Open access article under the CC BY license.ReferencesAbdulahS, AlamriF, NagP, SunY, LtaiefH, KeyesDE, GentonMG (2022). The second competition on spatial statistics for large datasets. , 20(4): 439–460.ChakrabortyA, KatzfussM (2022). High-dimensional nonlinear spatio-temporal filtering by compressing hierarchical sparse Cholesky factors. , 20(4): 461–474.DawR, WikleCK (2022). Supervised spatial regionalization using the Karhunen-Loève expansion and minimum spanning trees. , 20(4): 566–584.FahmyY, GuinnessJ (2022). Vecchia approximations and optimization for multivariate Matérn models. , 20(4): 475–492.GraySD, HeatonMJ, BolintineanuDS, OlsonA (2022). On the use of deep neural networks for large-scale spatial prediction. , 20(4): 493–511.PereiraM, DesassisN, AllardD (2022). Geostatistics for large datasets on Riemannian manifolds: A matrix free approach. , 20(4): 512–532.SahaA, DattaA, BanerjeeS (2022). Scalable predictions for spatial probit linear mixed models using nearest neighbor Gaussian processes. , 20(4): 533–544.WendelbergerLJ, GrayJM, WilsonAG, HouborgR, ReichBJ (2022). Multiresolution broad area search: Monitoring spatial characteristics of gapless remote sensing data. , 20(4): 545–565.