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HawaSpatial: Holistic and Areal Weighted Analysis for Global Development

Provides a 'shiny'-based platform for sub-national monitoring of global development indicators using large-scale household surveys. The package supports the Demographic and Health Surveys, Multiple Indicator Cluster Surveys, Malaria Indicator Surveys, Integrated Household Budget Surveys, Service Provision Assessment surveys, and Living Standards Measurement Study surveys. It provides workflows for descriptive, diagnostic, predictive, and prescriptive spatial analytics, including a spatial equalizer for survey-shapefile integration, exploratory spatial data analysis, area-level small area estimation, spatial autoregressive and spatial error models, hierarchical multilevel models, spatial inequality metrics, spatial and temporal decomposition, and publication-ready reporting. The implemented methods are described in <doi:10.1111/j.1538-4632.1995.tb00338.x>, <doi:10.1007/s11749-018-0599-x>, and the reference identified by <isbn:9781118735787>. The software has been cited in applied geographic and multilevel health studies, including studies of arthritis resource allocation <doi:10.1016/j.jorep.2026.101000> and childhood stunting priorities <doi:10.1016/j.nutos.2026.100660>.

Version: 0.1.10
Depends: R (≥ 4.2.0)
Imports: shiny
Suggests: biscale, broom, broom.mixed, bs4Dash, classInt, corrplot, cowplot, dplyr, ggplot2, ggrepel, glmmTMB, gstat, haven, ineq, knitr, lmtest, magrittr, performance, purrr, RColorBrewer, readr, rmarkdown, sae, scales, sf, spatialreg, spdep, stringr, survey, testthat (≥ 3.0.0), tidyr, tidyselect, tidyverse, viridis
Published: 2026-07-23
DOI: 10.32614/CRAN.package.HawaSpatial (may not be active yet)
Author: Abdisalam Hassan Muse ORCID iD [aut, cre]
Maintainer: Abdisalam Hassan Muse <abdisalam.hassan at amoud.edu.so>
BugReports: https://github.com/Abdisalammuse/HawaSpatial/issues
License: GPL (≥ 3)
URL: https://github.com/Abdisalammuse/HawaSpatial
NeedsCompilation: no
Citation: HawaSpatial citation info
Materials: README, NEWS
CRAN checks: HawaSpatial results

Documentation:

Reference manual: HawaSpatial.html , HawaSpatial.pdf

Downloads:

Package source: HawaSpatial_0.1.10.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): HawaSpatial_0.1.10.tgz, r-oldrel (arm64): HawaSpatial_0.1.10.tgz, r-release (x86_64): HawaSpatial_0.1.10.tgz, r-oldrel (x86_64): HawaSpatial_0.1.10.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=HawaSpatial to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.