synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data
Dublin Core
Title
synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data
Subject
R, SMSM, ACS, spatial microsimulation modeling, simulation, synthetic data,
simulated annealing
simulated annealing
Description
synthACS is an R package that provides flexible tools for building synthetic microdatasets based on American Community Survey (ACS) base tables, allows data-extensibility
and enables to conduct spatial microsimulation modeling (SMSM) via simulated annealing. To our knowledge, it is the first R package to provide broadly applicable tools for
SMSM with ACS data as well as the first SMSM implementation that uses unequal probability sampling in the simulated annealing algorithm. In this paper, we contextualize
these developments within the SMSM literature, provide a hands-on user-guide to package synthACS, present a case study of SMSM related to population dynamics, and note
areas for future research
and enables to conduct spatial microsimulation modeling (SMSM) via simulated annealing. To our knowledge, it is the first R package to provide broadly applicable tools for
SMSM with ACS data as well as the first SMSM implementation that uses unequal probability sampling in the simulated annealing algorithm. In this paper, we contextualize
these developments within the SMSM literature, provide a hands-on user-guide to package synthACS, present a case study of SMSM related to population dynamics, and note
areas for future research
Creator
Alex Whitworth
Source
https://www.jstatsoft.org/article/view/v104i07
Date
October 2022
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Alex Whitworth, “synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8277.