Inference for Spatiotemporal Partially Observed Markov Processes R package spatPomp version 1.1.0 Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. The 'spatPomp' package extends 'pomp' to include algorithms taking advantage of the spatial structure in order to assist with handling high dimensional processes. See Asfaw et al. (2024) <doi:10.48550/arXiv.2101.01157> for further description of the package. Software Depends: pomp (>= 5.4), R(>= 4.1), methods Imports: foreach, dplyr, tidyr, stringr, abind, rlang, ggplot2 LinkingTo: pomp Suggests: doParallel (>= 1.0.11), parallel, doRNG Edward Ionides <ionides@umich.edu> Comprehensive R Archive Network (CRAN) Kidus Asfaw [aut], Edward Ionides [cre, aut], Aaron A. King [aut], Allister Ho [ctb], Joonha Park [ctb], Jesse Wheeler [ctb], Jifan Li [ctb], Ning Ning [ctb], Haogao Gu [ctb], Kunyang He [ctb], Gottfried Julian [ctb] GPL-3 2025-09-03 application/tgz https://CRAN.R-project.org/package=spatPomp doi:10.32614/CRAN.package.spatPomp