A survey of dynamic microsimulation models: uses, model structure amd methodology

J Li, C O'Donoghue - International Journal of …, 2013 - researchprofiles.canberra.edu.au
More than 10 years ago O'Donoghue (2001a) surveyed the dynamic microsimulation
models that had been developed up to that point. However many of the barriers mentioned …

A review of spatial microsimulation methods

R Tanton - International Journal of …, 2014 - researchprofiles.canberra.edu.au
This paper outlines a framework for spatial microsimulation models, gives some reasons
why someone may want to use a spatial microsimulation model, describes the development …

Agent-based modelling and geographical information systems: a practical primer

A Crooks, A Heppenstall, E Manley, N Malleson - 2018 - torrossa.com
This book has emerged through years of discussions, comments and questions we have
received about building agentbased models and integrating geographical information …

Creating realistic synthetic populations at varying spatial scales: A comparative critique of population synthesis techniques

K Harland, A Heppenstall, D Smith… - Journal of Artificial …, 2012 - eprints.whiterose.ac.uk
There are several established methodologies for generating synthetic populations. These
include deterministic reweighting, conditional probability (Monte Carlo simulation) and …

[SÁCH][B] Planning support systems best practice and new methods

S Geertman, J Stillwell - 2009 - books.google.com
Planning Support Systems: Retrospect and Prospect It has been nearly twenty years since
the term 'planning support systems'(PSS) first appeared in an article by Britton Harris (Harris …

Quantitative methods I: Reproducible research and quantitative geography

C Brunsdon - Progress in Human Geography, 2016 - journals.sagepub.com
Reproducible quantitative research is research that has been documented sufficiently
rigorously that a third party can replicate any quantitative results that arise. It is argued here …

How to generate micro-agents? A deep generative modeling approach to population synthesis

SS Borysov, J Rich, FC Pereira - Transportation Research Part C …, 2019 - Elsevier
Population synthesis is concerned with the generation of synthetic yet realistic
representations of populations. It is a fundamental problem in the modeling of transportation …

Generating synthetic population for simulating the spatiotemporal dynamics of epidemics

K Zhu, L Yin, K Liu, J Liu, Y Shi, X Li… - PLOS Computational …, 2024 - journals.plos.org
Agent-based models have gained traction in exploring the intricate processes governing the
spread of infectious diseases, particularly due to their proficiency in capturing nonlinear …

A review of current methods to generate synthetic spatial microdata using reweighting and future directions

K Hermes, M Poulsen - Computers, Environment and Urban Systems, 2012 - Elsevier
Synthetic spatial microdata enable analyses of artificial populations in the form of individual
unit record files at a small area level. They allow analyses of estimates of variables that are …

Small area estimation using a reweighting algorithm

R Tanton, Y Vidyattama, B Nepal… - Journal of the Royal …, 2011 - academic.oup.com
The paper describes a method of small area estimation which uses a reweighting algorithm
to reweight survey data to a number of known totals (benchmarks) for small areas. The …