data.R

#' @title dataset of NDVI changes and its influencing factors
#' @description dataset of NDVI changes and its influencing factors, modified from `GD` package.
#' @author Yongze Song \email{yongze.song@outlook.com}
#'
#' @name ndvi
#' @format \code{ndvi}: A tibble with 713 rows and 7 variables
#' @docType data
#' @keywords dataset ndvi
"ndvi"

#' @title NTDs data
#'
#' @name NTDs
#' @format \code{NTDs}: A tibble with 185 rows and 4 variable columns and 2 location columns, modified from `geodetector` package.
#' @description
#' The data were obtained by preprocessing use `sf` and `tidyverse`.
#'
#' @docType data
#' @keywords dataset NTDs
"NTDs"

#' @title Simulation data.
#' @author Yongze Song \email{yongze.song@outlook.com}
#'
#' @name sim
#' @format \code{sim}: A tibble with 80 rows and 6 variables, modified from `IDSA` package.
#' @docType data
#' @keywords dataset sim
"sim"

#' @title example of spatial information system table
#'
#' @name srs_table
#' @format \code{srs_table}: A tibble with 11 rows and 5 variables(one `ID` column).
#' @docType data
#' @keywords dataset srs_table
"srs_table"

#' @title example of spatial information system spatial adjacency matrix
#'
#' @name srs_wt
#' @format \code{srs_wt}: A matrix with 11rows and 11cols.
#' @docType data
#' @keywords dataset srs_wt
"srs_wt"