inlabru 时空分析
library ( INLA ) # 用于之后的建模 library ( MASS ) # 用于真实的多元正态分布模拟 library ( tidyverse ) library ( inlabru ) library ( fdmr ) library ( sf ) library ( inlatools ) covid19_data <- fdmr :: load_tutorial_data ( dataset = "priors" , filename = "covid19_dataBris.rds" ) covid19_sf <- covid19_data |> st_as_sf ( coords = c ( "LONG" , "LAT" )) coordinates <- st_coordinates ( covid19_sf ) locs <- unique ( coordinates ) # 计算初始参数 initial_range <- diff ( range ( locs [, 1 ])) / 3 max_edge <- initial_range / 2 # 2. 构建改进的网格，mesh从地图构建，此处不对。 mesh <- fm_mesh_2d ( loc = locs , max.edge = c ( 1 , 2 ) * max_edge , offset = c ( initial_range , initial_range ), cutoff = max_edge / 5 ) # 3. 定义SPDE模型 spde <- inla.spde2.pcmatern ( mesh = mesh , prior.range = c ( initial_range , 0.5 ), prior.sigma = c ( 1 , 0.01 ) ) # 4. 设置时间趋势先验， rw1_prior <- list ( theta = list ( prior = "pc.prec" , param = c ( 1 , ...