| Title: | Spatial Analysis of Yearly, Longitudinal, and Areal Change |
|---|---|
| Description: | Provides the Saylac Shiny application for multidisciplinary analysis of global, national, and regional indicators observed across places and years. SAYLAC abbreviates Spatial Analysis of Yearly, Longitudinal, and Areal Change. The platform supports spatial diagnostics, longitudinal data exploration, time-series diagnostics, comparative forecasting, and automated reporting for development, health, education, economic, environmental, and social indicators. The application implements three connected modules: Spatial Analysis Workflow for exploratory spatial data analysis, Single Model Diagnostics for stationarity testing, trend diagnostics, and comparative forecasting, and Spatial Uncertainty and Reporting Analysis Dashboard for forecast mapping, spatial clustering, and reporting. The application supports choropleth mapping, Moran's I, Geary's C, Local Indicators of Spatial Association, Getis-Ord Gi star statistics, spatial correlograms, Theil-Sen trend estimation, Mann-Kendall testing, Autoregressive Integrated Moving Average models, Exponential Smoothing State Space models, neural network autoregression, BATS, TBATS, theta forecasting, symmetric mean absolute percentage error model comparison, and report generation. The platform was first applied in Touryare and Mohamud (2026) <doi:10.1007/s43621-026-04022-x> for integrated spatial-temporal forecasting of educational attainment in Eastern Africa toward Sustainable Development Goal 4. |
| Authors: | Abdisalam Hassan Muse [aut, cre] (ORCID: <https://orcid.org/0000-0003-4905-0044>) |
| Maintainer: | Abdisalam Hassan Muse <[email protected]> |
| License: | GPL (>= 3) |
| Version: | 0.1.3 |
| Built: | 2026-07-16 17:02:13 UTC |
| Source: | https://github.com/cran/Saylac |
Provides the Saylac Shiny application for multidisciplinary spatial analysis, longitudinal diagnostics, time-series forecasting, and reporting of global, national, and regional indicators.
SAYLAC abbreviates Spatial Analysis of Yearly, Longitudinal, and Areal Change. The platform can be used with indicators from education, health, poverty, economy, environment, demography, infrastructure, governance, and other fields.
Backward-compatible alias for load_saylac_state().
load_saw_simodi_surad_state(file)load_saw_simodi_surad_state(file)
file |
File path to an RDS project-state file. |
A list containing the saved analytical state.
tmp <- tempfile(fileext = ".rds") save_saw_simodi_surad_state(list(region = "Eastern Africa"), tmp) load_saw_simodi_surad_state(tmp)tmp <- tempfile(fileext = ".rds") save_saw_simodi_surad_state(list(region = "Eastern Africa"), tmp) load_saw_simodi_surad_state(tmp)
Loads a previously saved project-state object.
load_saylac_state(file)load_saylac_state(file)
file |
File path to an RDS project-state file. |
A list containing the saved analytical state.
tmp <- tempfile(fileext = ".rds") save_saylac_state(list(region = "Eastern Africa"), tmp) load_saylac_state(tmp)tmp <- tempfile(fileext = ".rds") save_saylac_state(list(region = "Eastern Africa"), tmp) load_saylac_state(tmp)
Backward-compatible alias for run_saylac().
run_saw_simodi_surad(launch.browser = TRUE, ...)run_saw_simodi_surad(launch.browser = TRUE, ...)
launch.browser |
Logical. If TRUE, the app opens in the default browser. |
... |
Additional arguments passed to |
No return value. Called for the side effect of launching a Shiny application.
if (interactive()) run_saw_simodi_surad()if (interactive()) run_saw_simodi_surad()
Opens the installed Saylac dashboard.
run_saylac(launch.browser = TRUE, ...)run_saylac(launch.browser = TRUE, ...)
launch.browser |
Logical. If TRUE, the app opens in the default browser. |
... |
Additional arguments passed to |
No return value. Called for the side effect of launching a Shiny application.
if (interactive()) run_saylac()if (interactive()) run_saylac()
Backward-compatible alias for save_saylac_state().
save_saw_simodi_surad_state(state, file)save_saw_simodi_surad_state(state, file)
state |
A named list describing the analytical state. |
file |
File path where the state object should be saved. |
Invisibly returns the file path used to save the state.
tmp <- tempfile(fileext = ".rds") save_saw_simodi_surad_state(list(region = "Eastern Africa"), tmp)tmp <- tempfile(fileext = ".rds") save_saw_simodi_surad_state(list(region = "Eastern Africa"), tmp)
Saves a list containing analytical choices such as indicator, region, year, model settings, and reporting options.
save_saylac_state(state, file)save_saylac_state(state, file)
state |
A named list describing the analytical state. |
file |
File path where the state object should be saved. |
Invisibly returns the file path used to save the state.
tmp <- tempfile(fileext = ".rds") save_saylac_state(list(indicator = "years_of_schooling"), tmp) load_saylac_state(tmp)tmp <- tempfile(fileext = ".rds") save_saylac_state(list(indicator = "years_of_schooling"), tmp) load_saylac_state(tmp)
Backward-compatible alias for saylac_app().
saw_simodi_surad_app()saw_simodi_surad_app()
A character string giving the installed path to the Shiny application directory.
saw_simodi_surad_app()saw_simodi_surad_app()
Backward-compatible alias for saylac_example_data().
saw_simodi_surad_example_data()saw_simodi_surad_example_data()
A named character vector containing the path to the example CSV file.
saw_simodi_surad_example_data()saw_simodi_surad_example_data()
Returns the installed path to the Saylac Shiny application.
saylac_app()saylac_app()
A character string giving the installed path to the Shiny application directory.
saylac_app()saylac_app()
Returns the path to an example country-year data set for Eastern Africa.
saylac_example_data()saylac_example_data()
A named character vector containing the path to the example CSV file.
saylac_example_data()saylac_example_data()