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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "Saylac" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'Saylac: Spatial Analysis of Yearly, Longitudinal, and Areal Change'
version: 0.1.3
abstract: '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) <https://doi.org/10.1007/s43621-026-04022-x>
  for integrated spatial-temporal forecasting of educational attainment in Eastern
  Africa toward Sustainable Development Goal 4.'
authors:
- family-names: Muse
  given-names: Abdisalam Hassan
  email: abdisalam.hassan@amoud.edu.so
  orcid: https://orcid.org/0000-0003-4905-0044
preferred-citation:
  type: manual
  title: 'Saylac: Spatial Analysis of Yearly, Longitudinal, and Areal Change'
  authors:
  - family-names: Muse
    given-names: Abdisalam Hassan
    email: abdisalam.hassan@amoud.edu.so
    orcid: https://orcid.org/0000-0003-4905-0044
  year: '2026'
  notes: R package version 0.1.2
  url: https://muse252.shinyapps.io/Saylac_Shiny_App_Ready/
repository: https://cran.r-universe.dev
commit: 23a5edde3209a6d1dfc94ea73a28a8f6f48cd36f
url: https://muse252.shinyapps.io/Saylac_Shiny_App_Ready/
date-released: '2026-07-16'
contact:
- family-names: Muse
  given-names: Abdisalam Hassan
  email: abdisalam.hassan@amoud.edu.so
  orcid: https://orcid.org/0000-0003-4905-0044
references:
- type: article
  title: Mapping the path to SDG 4 through integrated spatiotemporal forecasting of
    educational attainment in Eastern Africa from 1990 to 2030
  authors:
  - family-names: Touryare
    given-names: Mukhtar Shiekh Mohamud
  - family-names: Mohamud
    given-names: Mohamed Abdulkadir
  journal: Discover Sustainability
  year: '2026'
  doi: 10.1007/s43621-026-04022-x