Microsimulation.bib

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@article{harland2013microsimulation,
address = {Leeds},
author = {Harland, Kirk},
institution = {National Centre for Research Methods},
journal = {National Centre for Research Methods},
publisher = {NCRM},
title = {{Microsimulation Model User Guide (Flexible Modelling Framework)}},
url = {http://eprints.ncrm.ac.uk/3177/2/microsimulation\_model.pdf},
volume = {1306},
year = {2013}
}
@article{Powell2011,
author = {Powell, Douglas a. and Jacob, Casey J. and Chapman, Benjamin J.},
doi = {10.1016/j.foodcont.2010.12.009},
issn = {09567135},
journal = {Food Control},
month = jun,
number = {6},
pages = {817--822},
publisher = {Elsevier Ltd},
title = {{Enhancing food safety culture to reduce rates of foodborne illness}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0956713510004378},
volume = {22},
year = {2011}
}
@incollection{Anderson2013,
author = {Anderson, Ben},
booktitle = {Spatial Microsimulation: A Reference Guide for Users},
chapter = {4},
doi = {10.1007/978-94-007-4623-7\_4},
editor = {Tanton, Robert and Edwards, Kimberley},
isbn = {978-94-007-4622-0},
pages = {49--67},
publisher = {Springer Netherlands},
series = {Understanding Population Trends and Processes},
title = {{Estimating Small-Area Income Deprivation: An Iterative Proportional Fitting Approach}},
url = {http://dx.doi.org/10.1007/978-94-007-4623-7\_4},
volume = {6},
year = {2013}
}
@article{Morrissey2013a,
author = {Morrissey, Karyn and O'donoghue, Cathal and Farrell, Niall},
doi = {10.1080/17421772.2013.835439},
file = {:nfs/foe-fs-01\_users/georl/Documents/unidocs/Morrissey, O'donoghue, Farrell - 2013 - The Local Impact of the Marine Sector in Ireland A Spatial Microsimulation Analysis.pdf:pdf},
issn = {1742-1772},
journal = {Spatial Economic Analysis},
keywords = {employment,income,marine sector,spatial microsimulation},
month = dec,
number = {00},
pages = {1--20},
publisher = {Taylor \& Francis},
title = {{The Local Impact of the Marine Sector in Ireland: A Spatial Microsimulation Analysis}},
url = {http://www.tandfonline.com/doi/abs/10.1080/17421772.2013.835439},
volume = {00},
year = {2013}
}
@article{Patterson1996,
author = {Patterson, Murray G},
journal = {Energy Policy},
keywords = {an important place in,as a policy objective,definitions,energy efficiency,energy efficiency now has,indicators,is linked to com-,most developed countries,o f energy efficiency,policy agenda o f,the importance,the public},
number = {5},
pages = {377--390},
title = {{What is energy efficiency? Concepts , indicators and methodological issues}},
volume = {24},
year = {1996}
}
@incollection{Dale2002,
author = {Dale, A and Teague, A},
booktitle = {The census data system},
chapter = {14},
editor = {Williamson, Paul and Rees, Phil and Martin, David},
publisher = {Wiley},
title = {{Microdata from the census: Samples of anonymised records}},
year = {2002}
}
@article{Hensher2000-chaining,
author = {Hensher, DavidA. and Reyes, AprilJ.},
doi = {10.1023/A:1005246916731},
issn = {0049-4488},
journal = {Transportation},
keywords = {discrete choice,mixed logit,survey data,trip chain},
number = {4},
pages = {341--361},
publisher = {Kluwer Academic Publishers},
title = {{Trip chaining as a barrier to the propensity to use public transport}},
url = {http://dx.doi.org/10.1023/A:1005246916731},
volume = {27},
year = {2000}
}
@article{Wong1992,
author = {Wong, David W S},
doi = {10.1111/j.0033-0124.1992.00340.x},
issn = {1467-9272},
journal = {The Professional Geographer},
keywords = {IPF,census data,random error effect},
number = {3},
pages = {340--348},
publisher = {Blackwell Publishing Ltd},
title = {{The Reliability of Using the Iterative Proportional Fitting Procedure}},
url = {http://dx.doi.org/10.1111/j.0033-0124.1992.00340.x},
volume = {44},
year = {1992}
}
@incollection{Martin2002,
address = {London},
author = {Rees, P and Martin, D and Williamson, P},
booktitle = {The census data system},
chapter = {1},
editor = {Rees, P and Martin, D and Williamson, P},
publisher = {Wiley},
title = {{Census data resources in the United Kingdom}},
url = {http://eprints.soton.ac.uk/15359/1/0470846887.pdf},
year = {2002}
}
@incollection{Clarke2013-concs,
address = {Berlin, Heidelberg},
author = {Clarke, Graham and Harding, Ann},
booktitle = {Spatial Microsimulation: A Reference Guide for Users},
chapter = {16},
doi = {10.1007/978-94-007-4623-7},
editor = {Tanton, Robert and Edwards, Kimberley},
isbn = {978-94-007-4622-0},
pages = {259--273},
publisher = {Springer},
title = {{Conclusions and Future Research Directions}},
url = {http://www.springerlink.com/index/10.1007/978-94-007-4623-7},
year = {2013}
}
@article{Fienberg1970,
author = {Fienberg, SE},
journal = {The Annals of Mathematical Statistics},
number = {3},
pages = {907--917},
title = {{An iterative procedure for estimation in contingency tables}},
url = {http://www.jstor.org/stable/10.2307/2239244},
volume = {41},
year = {1970}
}
@book{Matloff-R,
author = {Matloff, N},
publisher = {No Starch Press},
title = {{The Art of R Programming}},
url = {http://books.google.com/books?hl=en\&lr=\&id=4jL3sfmP1l8C\&oi=fnd\&pg=PR5\&dq=The+art+of+R+programming\&ots=0SldF2sJGD\&sig=oEsmrxEf66htv11kpoRRCFenDgY},
year = {2011}
}
@techreport{Lee2009,
address = {Wellington},
annote = {Ultimate source on microsimulation in R},
author = {Lee, Alan},
booktitle = {Statistics},
institution = {Statistics New Zealand},
isbn = {9780478315929},
keywords = {contingency tables,fisher scoring,iterated proportional fitting,latent class analysis,log-linear models,marginal tables,maximum likelihood,metropolis-hastings algorithm,mixture models,reproduction of material},
title = {{Generating Synthetic Microdata from Published Marginal Tables and Confidentialised Files}},
url = {http://www.statisphere.govt.nz/further-resources-and-info/official-statistics-research/series/~/media/statisphere/Files/official-statistics-research-series/volume-5-2009/generating-synthetic-microdata-from-published-tables-and-confidentialised-files.pdf},
volume = {5},
year = {2009}
}
@article{Simpson2005,
author = {Simpson, Ludi and Tranmer, Mark},
journal = {The Professional Geographer},
pages = {222--234},
title = {{Combining sample and census data in small area estimates: iterative proportional fitting with standard software}},
url = {http://www.tandfonline.com/doi/abs/10.1111/j.0033-0124.2005.00474.x},
volume = {57},
year = {2005}
}
@article{Ballas2007simb,
author = {Ballas, Dimitris and Clarke, Graham and Dorling, Danny and Rossiter, David},
journal = {Geographical Analysis},
number = {2007},
pages = {44--77},
title = {{Using SimBritain to model the geographical impact of national government policies}},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1538-4632.2006.00695.x/full},
volume = {39},
year = {2007}
}
@article{tidy-data,
author = {Wickham, Hadley},
journal = {The Journal of Statistical Software},
number = {5},
title = {{Tidy data}},
url = {http://vita.had.co.nz/papers/tidy-data.html},
volume = {14},
year = {2014}
}
@techreport{Buck2006,
author = {Buck, Nicholas and Burton, Jonathan and Laurie, Heather},
booktitle = {Institute for Social and \ldots},
institution = {Institute for Social and Economic Research},
number = {February},
pages = {1991--2003},
title = {{Quality Profile: British Household Panel Survey Version 2.0: Waves 1 to 13: 1991-2003}},
url = {http://www.iser.sx.ac.uk/files/bhps/quality-profiles/BHPS-QP-01-03-06-v2.pdf},
year = {2006}
}
@article{Smith2009,
author = {Smith, Dianna M and Clarke, Graham P and Harland, Kirk},
doi = {10.1068/a4147},
issn = {0308-518X},
journal = {Environment and Planning A},
number = {5},
pages = {1251--1268},
title = {{Improving the synthetic data generation process in spatial microsimulation models}},
url = {http://www.envplan.com/abstract.cgi?id=a4147},
volume = {41},
year = {2009}
}
@book{kabacoff2011r,
author = {Kabacoff, Robert},
publisher = {Manning Publications Co.},
title = {{R in Action}},
year = {2011}
}
@article{Meng1993,
author = {Meng, Xiao-Li and Rubin, Donald B.},
doi = {10.2307/2337198},
file = {:nfs/foe-fs-01\_users/georl/Documents/unidocs/Meng, Rubin - 1993 - Maximum Likelihood Estimation via the ECM Algorithm A General Framework.pdf:pdf},
issn = {00063444},
journal = {Biometrika},
month = jun,
number = {2},
pages = {267},
title = {{Maximum Likelihood Estimation via the ECM Algorithm: A General Framework}},
url = {http://www.jstor.org/stable/2337198?origin=crossref},
volume = {80},
year = {1993}
}
@article{Beckman1996,
author = {Beckman, RJ and Baggerly, KA and McKay, MD},
journal = {Transportation Research Part A: Policy and Practice},
number = {6},
pages = {415--429},
title = {{Creating synthetic baseline populations}},
url = {http://www.sciencedirect.com/science/article/pii/0965856496000043},
volume = {30},
year = {1996}
}
@incollection{Rees2002,
address = {London},
author = {Rees, P and Martin, D},
booktitle = {The census data system},
chapter = {2},
editor = {Rees, Phil and Williamson, Paul and Martin, David},
publisher = {Wiley},
title = {{The debate about census geography}},
url = {http://eprints.soton.ac.uk/15368/},
year = {2002}
}
@book{Popper1959,
author = {Popper, Karl Raimund},
pages = {480},
publisher = {Hutchinson},
title = {{The Logic of scientific discovery: Karl R. Popper}},
url = {http://books.google.com/books?id=MdvaSAAACAAJ\&pgis=1},
year = {1959}
}
@book{Rubin1987,
author = {Little, RJA and Rubin, DB},
edition = {1st},
pages = {304},
publisher = {Wiley Series in Probability and Statistics},
title = {{Statistical analysis with missing data}},
url = {http://www.imamu.edu.sa/Scientific\_selections/abstracts/Math/Statistical Analysis with Missing Data, Second Edition.PDF},
year = {1987}
}
@article{Openshaw1984,
abstract = {The author examines problems related to the fact that in many countries, census data are only reported for areal units and not at the individual level. Attention is paid to the question of ecological fallacy problems that arise from this situation. Data from a 10 percent sample of the United Kingdom population and individual census data from Italy are used to illustrate the problem. "It is concluded that ecological fallacy effects are endemic to areal census data, although their magnitude is perhaps not as large as might have been expected. The principal difficulty is that there is at present no way of predicting in advance the degree of severity likely to be associated with particular variables and particular techniques. Finally, a suggestion is made concerning how the potentially serious practical consequences can be reduced."},
author = {Openshaw, S},
file = {:nfs/foe-fs-01\_users/georl/Documents/unidocs/Openshaw - 1984 - Ecological fallacies and the analysis of areal census data.pdf:pdf},
issn = {0308-518X},
journal = {Environment \& planning A},
keywords = {Censuses,Data Collection,Developed Countries,Europe,Evaluation Studies as Topic,Geography,Great Britain,Italy,Population,Population Characteristics,Reproducibility of Results,Research,Research Design,Statistics as Topic},
month = jan,
number = {1},
pages = {17--31},
pmid = {12265900},
title = {{Ecological fallacies and the analysis of areal census data.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/12265900},
volume = {16},
year = {1984}
}
@article{Kalantari2008,
author = {Kalantari, B. and Lari, I. and Ricca, F. and Simeone, B.},
doi = {10.1007/s10107-006-0021-4},
issn = {0025-5610},
journal = {Mathematical Programming},
month = sep,
number = {2},
pages = {371--401},
title = {{On the complexity of general matrix scaling and entropy minimization via the RAS algorithm}},
url = {http://www.springerlink.com/index/10.1007/s10107-006-0021-4},
volume = {112},
year = {2008}
}
@article{Cullinan2011a,
author = {Cullinan, John},
doi = {10.1007/s10640-011-9458-x},
issn = {0924-6460},
journal = {Environmental and Resource Economics},
keywords = {forest recreation,gis-based network analysis,spatial microsimulation,total economic value,total visits,travel cost model},
month = jan,
number = {1},
pages = {27--47},
title = {{A Spatial Microsimulation Approach to Estimating the Total Number and Economic Value of Site Visits in Travel Cost Modelling}},
url = {http://www.springerlink.com/index/10.1007/s10640-011-9458-x},
volume = {50},
year = {2011}
}
@article{Morrissey2008,
author = {Morrissey, Karyn and Clarke, Graham and Ballas, Dimitris and Hynes, Stephen and O'Donoghue, Cathal},
doi = {10.1111/j.1475-4762.2008.00844.x},
issn = {00040894},
journal = {Area},
keywords = {accessibility,rural healthcare,spatial interaction models,spatial microsimulation},
month = sep,
number = {3},
pages = {354--364},
title = {{Examining access to GP services in rural Ireland using microsimulation analysis}},
url = {http://doi.wiley.com/10.1111/j.1475-4762.2008.00844.x},
volume = {40},
year = {2008}
}
@book{Spielauer2010,
author = {Spielauer, M.},
booktitle = {Social Science Computer Review},
doi = {10.1177/0894439310370085},
issn = {0894-4393},
month = may,
number = {1},
pages = {9--20},
title = {{Social science microsimulation}},
url = {http://ssc.sagepub.com/cgi/doi/10.1177/0894439310370085},
volume = {29},
year = {2010}
}
@book{van2012flexible,
author = {{Van Buuren}, Stef},
publisher = {CRC press},
title = {{Flexible imputation of missing data}},
year = {2012}
}
@article{lovelace2014introduction,
abstract = {This tutorial is an introduction to spatial data in R and map making with R's `base' graphics and the popular graphics package ggplot2. It assumes no prior knowledge of spatial data analysis but prior understanding of the R command line would be beneficial. For people new to R, we recommend working through an `Introduction to R' type tutorial, such as "A (very) short introduction to R" (Torfs and Brauer, 2012) or the more geographically inclined "Short introduction to R" (Harris, 2012). Building on such background material, the following set of exercises is concerned with specific functions for spatial data and visualisation. It is divided into five parts: *Introduction, which provides a guide to R's syntax and preparing for the tutorial *Spatial data in R, which describes basic spatial functions in R *Manipulating spatial data, which includes changing projection, clipping and spatial joins *Map making with ggplot2, a recent graphics package for producing beautiful maps quickly *Taking spatial analysis in R further, a compilation of resources for furthering your skills An up-to-date version of this tutorial is maintained at https://github.com/Robinlovelace/Creating-maps-in-R and the entire tutorial, including the input data can be downloaded as a zip file, as described below. The entire tutorialwas written in RMarkdown, which allows R code to run as the document compiles. Thus all the examples are entirely reproducible. Suggested improvements welcome - please fork, improve and push this document to its original home to ensure its longevity. The tutorial was developed for a series of Short Courses put on by the National Centre for Research Methods, via the TALISMAN node (see geotalisman.org).},
address = {London},
author = {Lovelace, Robin and Cheshire, James},
institution = {National Centre for Research Methods},
journal = {National Centre for Research Methods},
publisher = {EloGeo},
title = {{Introduction to visualising spatial data in R}},
url = {http://eprints.ncrm.ac.uk/3295/},
volume = {1403},
year = {2014}
}
@book{Bishop1975,
address = {Cambridge, Massachusettes},
author = {Bishop, YM and Fienberg, SE and Holland, PW},
publisher = {MIT Press},
title = {{Discrete Multivariate Analysis: theory and practice}},
url = {http://www.citeulike.org/group/7954/article/4445516},
year = {1975}
}
@article{harland2012,
abstract = {There are several established methodologies for generating synthetic populations. These include deterministic reweighting, conditional probability (Monte Carlo simulation) and simulated annealing. However, each of these approaches is limited by, for example, the level of geography to which it can be applied, or number of characteristics of the real population that can be replicated. The research examines and critiques the performance of each of these methods over varying spatial scales. Results show that the most consistent and accurate populations generated over all the spatial scales are produced from the simulated annealing algorithm. The relative merits and limitations of each method are evaluated in the discussion.},
author = {Harland, Kirk and Heppenstall, Alison and Smith, Dianna and Birkin, Mark},
issn = {1460-7425},
journal = {Journal of Artificial Societies and Social Simulation},
keywords = {Conditional Probability,Deterministic Reweighting,Population Synthesis,Simulated Annealing,Spatial Scales},
number = {1},
pages = {1},
title = {{Creating Realistic Synthetic Populations at Varying Spatial Scales: A Comparative Critique of Population Synthesis Techniques}},
url = {http://jasss.soc.surrey.ac.uk/15/1/1.html},
volume = {15},
year = {2012}
}
@article{Holling1973,
author = {Holling, C S},
issn = {00664162},
journal = {Annual Review of Ecology and Systematics},
month = jan,
pages = {1--23},
publisher = {Annual Reviews},
title = {{Resilience and Stability of Ecological Systems}},
url = {http://www.jstor.org/stable/2096802},
volume = {4},
year = {1973}
}
@book{Hoyle1992modern,
author = {Hoyle, B S and Knowles, R D and {of British Geographers. Transport Geography Study Group}, Institute},
isbn = {9781852931582},
publisher = {Belhaven Press},
title = {{Modern transport geography}},
url = {http://books.google.co.uk/books?id=sYMgAQAAMAAJ},
year = {1992}
}
@book{Cochran1997,
address = {New York},
author = {Cochran, WG},
edition = {3},
pages = {428},
publisher = {John Wiley and Sons},
title = {{Sampling techniques}},
url = {http://scholar.google.com/scholar?hl=en\&btnG=Search\&q=intitle:Sampling+techniques\#0},
year = {1977}
}
@article{Lahr2004,
author = {Lahr, Michael and de Mesnard, Louis},
doi = {10.1080/0953531042000219259},
issn = {0953-5314},
journal = {Economic Systems Research},
month = jun,
number = {2},
pages = {115--134},
title = {{Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis}},
url = {http://www.tandfonline.com/doi/abs/10.1080/0953531042000219259},
volume = {16},
year = {2004}
}
@article{Deming1940,
author = {Deming, WE and Stephan, Frederick F},
journal = {The Annals of Mathematical Statistics},
title = {{On a least squares adjustment of a sampled frequency table when the expected marginal totals are known}},
url = {http://www.jstor.org/stable/10.2307/2235722},
year = {1940}
}
@article{Birkin1988,
abstract = {There is a growing interest from a wide variety of sources in information pertaining to the characteristics of residents of small geographical areas together with their associated activity patterns. Reliance on the use of conventional aggregate data sources combined with the British Government's reluctance to make available microdata in the form of a public-use data set has restricted the type of questions analysts have been able to ask. The application of a methodology for generating synthetic microdata from a number of different aggregate sources is reported. The resultant information system can be used in a flexible manner to product distributions not currently available from aggregate sources. Additionally, the microdata form direct inputs into microsimulation models. The application described has been undertaken with Leeds Metropolitan District as the system of interest and a wide range of outputs is produced to illustrate the method.},
author = {Birkin, Mark and Clarke, M},
journal = {Environment and Planning A},
number = {12},
pages = {1645--1671},
publisher = {Pion Ltd},
title = {{SYNTHESIS -- a synthetic spatial information system for urban and regional analysis: methods and examples}},
url = {http://www.envplan.com/abstract.cgi?id=a201645},
volume = {20},
year = {1988}
}
@book{johnston1985geography,
author = {Johnston, Ronald John},
publisher = {Croom Helm London},
title = {{The geography of English politics: the 1983 general election}},
year = {1985}
}
@article{Williamson2002,
author = {Williamson, P and Mitchell, G and McDonald, A T},
doi = {10.1111/j.1747-6593.2002.tb00410.x},
issn = {1747-6593},
journal = {Water and Environment Journal},
keywords = {Demand forecasting,micro-components,resource planning,synthetic microdata,water planning},
number = {4},
pages = {243--248},
publisher = {Blackwell Publishing Ltd},
title = {{Domestic Water Demand Forecasting: A Static Microsimulation Approach}},
url = {http://dx.doi.org/10.1111/j.1747-6593.2002.tb00410.x},
volume = {16},
year = {2002}
}
@inproceedings{ballas2003microsimulation-30-years,
author = {Ballas, D and Clarke, G P},
booktitle = {50th Annual North American Meeting of the Regional Science Association, Philadelphia, USA},
pages = {19--22},
title = {{Microsimulation and regional science: 30 years of spatial microsimulation of populations}},
year = {2003}
}
@article{Rich2012,
author = {Rich, Jeppe and Mulalic, Ismir},
doi = {10.1016/j.tra.2011.11.002},
issn = {09658564},
journal = {Transportation Research Part A: Policy and Practice},
keywords = {ipf,iterative proportional fitting,population synthesising,transport demand modelling},
month = mar,
number = {3},
pages = {467--479},
publisher = {Elsevier Ltd},
title = {{Generating synthetic baseline populations from register data}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0965856411001716},
volume = {46},
year = {2012}
}
@article{Ballas2005c,
author = {Ballas, Dimitris and Clarke, Graham and Dorling, Danny and Eyre, Heather and Thomas, Bethan and Rossiter, David},
doi = {10.1002/psp.351},
file = {:nfs/foe-fs-01\_users/georl/Documents/unidocs/Ballas et al. - 2005 - SimBritain a spatial microsimulation approach to population dynamics.pdf:pdf},
issn = {1544-8444},
journal = {Population, Space and Place},
keywords = {ballas,correspondence to,d,department of geography,population forecasting,sheffield s10 2tn,small area,small area microdata,spatial microsimulation,uk,university of sheffield,winter street},
month = jan,
number = {1},
pages = {13--34},
title = {{SimBritain: a spatial microsimulation approach to population dynamics}},
url = {http://doi.wiley.com/10.1002/psp.351},
volume = {11},
year = {2005}
}
@techreport{Williamson2007,
author = {Williamson, Paul},
booktitle = {Population (English Edition)},
institution = {University of Liverpool},
number = {June},
title = {{CO Instruction Manual: Working Paper 2007/1 (v. 07.06.25)}},
volume = {1},
year = {2007}
}
@article{Edwards2009,
abstract = {Obesogenic environments are a major explanation for the rapidly increasing prevalence in obesity. Investigating the relationship between obesity and obesogenic variables at the micro-level will increase our understanding about local differences in risk factors for obesity. SimObesity is a spatial microsimulation model designed to create micro-level estimates of obesogenic environment variables in the city of Leeds in the UK: consisting of a plethora of health, environment, and socio-economic variables. It combines individual micro-data from two national surveys with a coarse geography, with geographically finer scaled data from the 2001 UK Census, using a reweighting deterministic algorithm. This creates a synthetic population of individuals/households in Leeds with attributes from both the survey and census datasets. Logistic regression analyses identify suitable constraint variables to use. The model is validated using linear regression and equal variance t-tests. Height, weight, age, gender, and residential postcode data were collected on children aged 3-13 years in the Leeds metropolitan area, and obesity described as above the 98th centile for the British reference dataset. Geographically weighted regression is used to investigate the relationship between different obesogenic environments and childhood obesity. Validation shows that the small-area estimates were robust. The different obesogenic environments, as well as the parameter estimates from the corresponding local regression analyses, are mapped, all of which demonstrate non-stationary relationships. These results show that social capital and poverty are strongly associated with childhood obesity. This paper demonstrates a methodology to estimate health variables at the small-area level. The key to this technique is the choice of the model's input variables, which must be predictors for the output variables; this factor has not been stressed in other spatial microsimulation work. It also provides further evidence for the existence of obesogenic environments for children.},
author = {Edwards, Kimberley L and Clarke, Graham P},
doi = {10.1016/j.socscimed.2009.07.037},
issn = {1873-5347},
journal = {Social science \& medicine},
keywords = {Adolescent,Child,Computer Simulation,Environment Design,Great Britain,Great Britain: epidemiology,Health Behavior,Humans,Linear Models,Logistic Models,Medical,Medical: methods,Models,Obesity,Obesity: epidemiology,Preschool,Risk Factors,Social Environment,Socioeconomic Factors,Statistical,Topography},
month = oct,
number = {7},
pages = {1127--34},
pmid = {19692160},
publisher = {Elsevier Ltd},
title = {{The design and validation of a spatial microsimulation model of obesogenic environments for children in Leeds, UK: SimObesity.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/19692160},
volume = {69},
year = {2009}
}
@inproceedings{teh2003improving,
author = {Teh, Yee Whye and Welling, Max},
booktitle = {Proceedings of the International Workshop on Artificial Intelligence and Statistics},
title = {{On improving the efficiency of the iterative proportional fitting procedure}},
volume = {9},
year = {2003}
}
@article{Tomintz2008,
author = {Tomintz, Melanie N M.N. and Clarke, Graham P and Rigby, Janette E J.E.},
journal = {Area},
keywords = {geography of smoking,health geography,location-allocation,microsimulation,modelling,stop smoking services},
number = {3},
pages = {341--353},
publisher = {Wiley Online Library},
title = {{The geography of smoking in Leeds: estimating individual smoking rates and the implications for the location of stop smoking services}},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1475-4762.2008.00837.x/full},
volume = {40},
year = {2008}
}
@article{Holm1987,
author = {Clarke, Martin and Holm, Einar},
journal = {Geografiska Annaler. Series B. Human Geography},
number = {2},
pages = {145--164},
title = {{Microsimulation methods in spatial analysis and planning}},
url = {http://www.jstor.org/stable/10.2307/490448},
volume = {69},
year = {1987}
}
@article{Pritchard2012,
author = {Pritchard, David R. and Miller, Eric J.},
doi = {10.1007/s11116-011-9367-4},
issn = {0049-4488},
journal = {Transportation},
keywords = {agent-based \'{a} census microdata,iterative proportional fitting \'{a},population synthesis \'{a} microsimulation,trip forecasting,\'{a},\'{a} transportation models \'{a}},
month = aug,
number = {3},
pages = {685--704},
title = {{Advances in population synthesis: fitting many attributes per agent and fitting to household and person margins simultaneously}},
url = {http://www.springerlink.com/index/10.1007/s11116-011-9367-4},
volume = {39},
year = {2012}
}
@article{mcfadden2006testing,
author = {McFadden, Daniel and Heiss, Florian and Jun, Byung-hill and Winter, Joachim},
journal = {Medium for Econometric Applications},
number = {2},
pages = {11--18},
title = {{On testing for independence in weighted contingency tables}},
volume = {14},
year = {2006}
}
@incollection{Ballas2013-4policy-analysis,
address = {Berlin, Heidelberg},
author = {Ballas, Dimitris and Clarke, Graham and Hynes, Stephen and Lennon, John and Morrissey, Karyn and Donoghue, Cathal O},
booktitle = {Spatial Microsimulation for Rural Policy Analysis},
chapter = {3},
doi = {10.1007/978-3-642-30026-4},
editor = {O'Donoghue, Cathal and Ballas, Dimitris and Clarke, Graham and Hynes, Stephen and Morrissey, Karyn},
isbn = {978-3-642-30025-7},
pages = {35--54},
publisher = {Springer Berlin Heidelberg},
series = {Advances in Spatial Science},
title = {{A Review of Microsimulation for Policy Analysis}},
url = {http://www.springerlink.com/index/10.1007/978-3-642-30026-4},
year = {2013}
}
@techreport{Norman1999a,
author = {Norman, Paul},
institution = {School of Geography, University of Leeds},
number = {October},
title = {{Putting Iterative Proportional Fitting (IPF) on the Researcher’s Desk}},
url = {http://eprints.whiterose.ac.uk/5029/1/99-3.pdf},
year = {1999}
}
@article{Johnston1993,
author = {Johnston, R. J. and Pattie, C. J.},
doi = {10.1111/j.0033-0124.1993.00317.x},
issn = {0033-0124},
journal = {The Professional Geographer},
month = aug,
number = {3},
pages = {317--322},
title = {{Entropy-Maximizing and the Iterative Proportional Fitting Procedure}},
url = {http://www.tandfonline.com/doi/abs/10.1111/j.0033-0124.1993.00317.x},
volume = {45},
year = {1993}
}
@article{Wu2010,
abstract = {Individual-based models such as microsimulation models (MSMs) provide an alternative to macroscopic models in social simulation and modeling. In contrast to the traditional models where individual characteristics are often blurred or even disregarded, MSM provides the realistic disaggregated information that is often vital for modern policy problems. MSM has been extensively applied and well tested in social modeling. However, it has been criticized for being less strong in modeling interactions between individuals and individual behaviors. MSM also struggles where realistic micro data are not available. Agent-based models (ABMs) can model the demographic process through interactions between the agents and with the environment that they live in. The combination of MSM and ABM provides a new approach to enhance complex social modeling. In our study, we attempt to provide better groundwork to facilitate policy and decision making for the U.K. population through a hybrid model that combines the strength of the two complementary techniques.},
author = {Wu, B. M. and Birkin, M. H. and Rees, P. H.},
doi = {10.1177/0894439310370113},
issn = {0894-4393},
journal = {Social Science Computer Review},
month = may,
number = {1},
pages = {145--160},
title = {{A Dynamic MSM With Agent Elements for Spatial Demographic Forecasting}},
url = {http://ssc.sagepub.com/content/29/1/145},
volume = {29},
year = {2010}
}
@incollection{blien1998entropy,
author = {Blien, Uwe and Graef, Friedrich},
booktitle = {Classification, Data Analysis, and Data Highways},
pages = {3--15},
publisher = {Springer},
title = {{Entropy optimizing methods for the estimation of tables}},
year = {1998}
}
@article{Ballas2006,
author = {Ballas, Dimitris and Clarke, Graham P and Dewhurst, John},
doi = {10.1080/17421770600697729},
issn = {1742-1772},
journal = {Spatial Economic Analysis},
month = jun,
number = {1},
pages = {127--146},
title = {{Modelling the Socio-economic Impacts of Major Job Loss or Gain at the Local Level: a Spatial Microsimulation Framework}},
url = {http://www.tandfonline.com/doi/abs/10.1080/17421770600697729},
volume = {1},
year = {2006}
}
@article{doi:10.1080/17421772.2013.835439,
author = {Morrissey, Karyn and O'donoghue, Cathal and Farrell, Niall},
doi = {10.1080/17421772.2013.835439},
journal = {Spatial Economic Analysis},
number = {0},
pages = {1--20},
title = {{The Local Impact of the Marine Sector in Ireland: A Spatial Microsimulation Analysis}},
url = {http://www.tandfonline.com/doi/abs/10.1080/17421772.2013.835439},
volume = {0}
}
@article{Heppenstall2013,
author = {Heppenstall, Alison J. and Harland, Kirk and Ross, Andrew N. and Olner, Dan},
doi = {10.1111/tgis.12027},
issn = {13611682},
journal = {Transactions in GIS},
month = may,
number = {5},
pages = {n/a--n/a},
title = {{Simulating Spatial Dynamics and Processes in a Retail Gasoline Market: An Agent-Based Modeling Approach}},
url = {http://doi.wiley.com/10.1111/tgis.12027},
volume = {17},
year = {2013}
}
@article{Cullinan2011,
author = {Cullinan, John and Hynes, Stephen and O'Donoghue, Cathal},
doi = {10.1016/j.ecolecon.2010.12.003},
issn = {09218009},
journal = {Ecological Economics},
keywords = {Forest recreation,GIS,Network analysis,Travel cost model,environmental benefit transfer,spatial microsimulation},
month = feb,
number = {4},
pages = {813--824},
publisher = {Elsevier B.V.},
title = {{Using spatial microsimulation to account for demographic and spatial factors in environmental benefit transfer}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0921800910004787},
volume = {70},
year = {2011}
}
@book{Ballas2005b,
author = {Ballas, Dimitris and Dorling, Danny and Thomas, Bethan and Rossiter, David},
doi = {10.2307/3650139},
issn = {00376779},
month = jan,
number = {3},
pages = {491},
publisher = {Joseph Roundtree Foundation},
title = {{Geography matters: simulating the local impacts of national social policies}},
url = {www.jrf.org.uk/sites/files/jrf/1859352669.pdf},
year = {2005}
}
@article{Hermes2012a,
author = {Hermes, Kerstin and Poulsen, Michael},
doi = {10.1016/j.compenvurbsys.2012.03.005},
issn = {01989715},
journal = {Computers, Environment and Urban Systems},
month = jul,
number = {4},
pages = {281--290},
publisher = {Elsevier Ltd},
title = {{A review of current methods to generate synthetic spatial microdata using reweighting and future directions}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0198971512000336},
volume = {36},
year = {2012}
}
@article{Cullinan2010,
author = {Cullinan, John},
doi = {10.1080/17421772.2010.493954},
journal = {Spatial Economic Analysis},
number = {3},
pages = {317--338},
title = {{Developing a Continuous Space Representation of a Simulated Population}},
url = {http://www.tandfonline.com/doi/abs/10.1080/17421772.2010.493954},
volume = {5},
year = {2010}
}
@article{caldwell1998modelling,
author = {Caldwell, Steven B and Clarke, Graham P and Keister, Lisa A},
file = {:nfs/foe-fs-01\_users/georl/Documents/unidocs/Caldwell, Clarke, Keister - 1998 - Modelling regional changes in US household income and wealth a research agenda.pdf:pdf},
journal = {Environment and Planning C},
pages = {707--722},
publisher = {PION LTD},
title = {{Modelling regional changes in US household income and wealth: a research agenda}},
volume = {16},
year = {1998}
}
@article{Fienberg2007,
author = {Fienberg, Stephen E. and Rinaldo, Alessandro},
doi = {10.1016/j.jspi.2007.03.022},
issn = {03783758},
journal = {Journal of Statistical Planning and Inference},
keywords = {algebraic statistics,chi-square tests,contingency tables,log-linear models,maximum likelihood,multinomial sampling schemes},
month = nov,
number = {11},
pages = {3430--3445},
title = {{Three centuries of categorical data analysis: Log-linear models and maximum likelihood estimation}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0378375807001073},
volume = {137},
year = {2007}
}
@article{Peng2006,
abstract = {The replication of important findings by multiple independent investigators is fundamental to the accumulation of scientific evidence. Researchers in the biologic and physical sciences expect results to be replicated by independent data, analytical methods, laboratories, and instruments. Epidemiologic studies are commonly used to quantify small health effects of important, but subtle, risk factors, and replication is of critical importance where results can inform substantial policy decisions. However, because of the time, expense, and opportunism of many current epidemiologic studies, it is often impossible to fully replicate their findings. An attainable minimum standard is "reproducibility," which calls for data sets and software to be made available for verifying published findings and conducting alternative analyses. The authors outline a standard for reproducibility and evaluate the reproducibility of current epidemiologic research. They also propose methods for reproducible research and implement them by use of a case study in air pollution and health.},
author = {Peng, Roger D and Dominici, Francesca and Zeger, Scott L},
doi = {10.1093/aje/kwj093},
issn = {0002-9262},
journal = {American journal of epidemiology},
keywords = {Air Pollution,Air Pollution: statistics \& numerical data,Environmental Illness,Environmental Illness: epidemiology,Epidemiologic Research Design,Humans,Models, Statistical,Reproducibility of Results},
month = may,
number = {9},
pages = {783--9},
pmid = {16510544},
title = {{Reproducible epidemiologic research.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/16510544},
volume = {163},
year = {2006}
}
@article{Birkin2012-geodem,
author = {Birkin, Mark and Clarke, Graham},
doi = {10.1007/s00168-011-0472-2},
issn = {0570-1864},
journal = {The Annals of Regional Science},
keywords = {C02,C13,C63,D31,J10,R20},
number = {2},
pages = {515--532},
publisher = {Springer-Verlag},
title = {{The enhancement of spatial microsimulation models using geodemographics}},
url = {http://dx.doi.org/10.1007/s00168-011-0472-2},
volume = {49},
year = {2012}
}
@article{Lovelace2014-jtg,
author = {Lovelace, Robin and Ballas, Dimitris and Watson, Matt},
doi = {http://dx.doi.org/10.1016/j.jtrangeo.2013.07.008},
issn = {0966-6923},
journal = {Journal of Transport Geography},
keywords = {Commuting,Policy evaluation,Spatial microsimulation},
number = {0},
pages = {282--296},
title = {{A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels}},
url = {http://www.sciencedirect.com/science/article/pii/S0966692313001361},
volume = {34},
year = {2014}
}
@article{Kao2012,
author = {Kao, Shih-Chieh and Kim, Hoe Kyoung and Liu, Cheng and Cui, Xiaohui and Bhaduri, Budhendra L.},
doi = {10.3141/2302-21},
issn = {0361-1981},
journal = {Transportation Research Record: Journal of the Transportation Research Board},
month = dec,
pages = {192--200},
title = {{Dependence-Preserving Approach to Synthesizing Household Characteristics}},
url = {http://trb.metapress.com/openurl.asp?genre=article\&id=doi:10.3141/2302-21},
volume = {2302},
year = {2012}
}
@article{Whitworth2012,
author = {Whitworth, A.},
doi = {10.1177/0042098012455716},
issn = {0042-0980},
journal = {Urban Studies},
month = aug,
title = {{Local Inequality and Crime: Exploring how Variation in the Scale of Inequality Measures Affects Relationships between Inequality and Crime}},
url = {http://usj.sagepub.com/cgi/doi/10.1177/0042098012455716},
year = {2012}
}
@book{Mitchell2000,
address = {London},
author = {Mitchell, Richard and Shaw, Mary and Dorling, Danny},
isbn = {1861342349},
pages = {66},
publisher = {Policy Press},
title = {{Inequalities in Life and Death: What If Britain Were More Equal?}},
year = {2000}
}
@book{shaw2013learn,
author = {Shaw, Zed},
publisher = {Pearson Education},
title = {{Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code}},
year = {2013}
}
@techreport{Huang2001a,
author = {Huang, Zengyi and Williamson, Paul},
institution = {University of Liverpool},
number = {October},
pages = {86},
title = {{The Creation of a National Set of Validated Small Area Population Microdata}},
year = {2001}
}
@article{Birkin2011b,
author = {Birkin, Mark and Clarke, Graham},
doi = {10.1007/s00168-011-0472-2},
issn = {0570-1864},
journal = {The Annals of Regional Science},
month = sep,
title = {{The enhancement of spatial microsimulation models using geodemographics}},
url = {http://www.springerlink.com/index/10.1007/s00168-011-0472-2},
year = {2011}
}
@book{KlausG.TroitzschUlrichMuellerNigelGilbert1996,
abstract = {This book gives an overview of the state of the art in five different approaches to social science simulation on the individual level. The volume contains microanalytical simulation models designed for policy implementation and evaluation, multilevel simulation methods designed for detecting emergent phenomena, dynamical game theory applications, the use of cellular automata to explain the emergence of structure in social systems, and multi-agent models using the experience from distributed artificial intelligence applied to special phenomena. The book collects the results of an international conference which brought together social scientists and computer scientists both engaged in a wide range of simulation approaches for the first time.},
author = {{Klaus G. Troitzsch, Ulrich Mueller, Nigel Gilbert}, Jim E. Doran},
isbn = {3540615725},
pages = {471},
publisher = {Springer},
title = {{Social Science Microsimulation}},
url = {http://books.google.com/books?hl=en\&lr=\&id=N9-2fCJZVAkC\&pgis=1},
volume = {1996},
year = {1996}
}
@article{Saito1992,
abstract = {The interregional cohort survival model developed by Rogers is an excellent one that includes all of the three population processes: birth - death, aging, and interregional migration. Rogers's model, however, has been rarely implemented because it requires detailed data concerning cohortwise (that is by age and sex) interregional migration tables which are not usually available as published data. The most usual case is that only marginal tables that are from different sources can be obtained. However, in this case, those marginal tables necessarily show inconsistency in the sense that they do not have identical common submarginals. This inconsistency prevents the standard iterative proportional fitting (IPF) procedure from converging to the estimate of the complete migration table which conforms to the given observed marginals. Thus to implement Rogers's model some method is needed to estimate the complete migration table where only inconsistent marginals are available. In this paper a multistep IPF procedure is proposed for that purpose and an actual application of the proposed method is shown. The multistep IPF procedure has universal applicability to a wide class of general problems concerned with the estimation of a joint table under inconsistent marginals.},
author = {Saito, S},
journal = {Environment and Planning A},
number = {11},
pages = {1531--1547},
publisher = {Pion Ltd},
title = {{A multistep iterative proportional fitting procedure to estimate cohortwise interregional migration tables where only inconsistent marginals are known}},
url = {http://www.envplan.com/abstract.cgi?id=a241531},
volume = {24},
year = {1992}
}
@article{Mosteller1968,
author = {Mosteller, F},
journal = {Journal of the American Statistical Association},
number = {321},
pages = {1--28},
title = {{Association and estimation in contingency tables}},
url = {http://www.jstor.org/stable/10.2307/2283825},
volume = {63},
year = {1968}
}
@book{Tanton2013,
author = {Tanton, Robert and Edwards, Kimberley},
isbn = {9400746229},
pages = {277},
publisher = {Springer},
title = {{Spatial Microsimulation: A Reference Guide for Users}},
url = {http://www.amazon.co.uk/Spatial-Microsimulation-Reference-Understanding-Population/dp/9400746229},
year = {2013}
}
@article{Jirousek1995,
author = {Jirou\v{s}ek, R and Preu\v{c}il, Stanislav},
journal = {Computational Statistics \& Data Analysis},
keywords = {algorithmic,marginal problem,maximum likelihood estimate},
pages = {177--189},
title = {{On the effective implementation of the iterative proportional fitting procedure}},
url = {http://www.sciencedirect.com/science/article/pii/0167947393E00559},
volume = {19},
year = {1995}
}
@book{janert2010data,
author = {Janert, Philipp K},
publisher = {O'Reilly Media},
title = {{Data analysis with open source tools}},
year = {2010}
}
@book{bacharach1970biproportional,
address = {Cambridge},
author = {Bacharach, Michael},
publisher = {Cambridge University Press},
title = {{Biproportional matrices \& input-output change}},
volume = {16},
year = {1970}
}
@article{Lovelace2013-trs,
author = {Lovelace, Robin and Ballas, Dimitris},
issn = {01989715},
journal = {Computers, Environment and Urban Systems},
month = sep,
pages = {1--11},
publisher = {Elsevier Ltd},
title = {{‘Truncate, replicate, sample’: A method for creating integer weights for spatial microsimulation}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0198971513000240 http://dx.doi.org/10.1016/j.compenvurbsys.2013.03.004},
volume = {41},
year = {2013}
}
@article{Voas2000,
annote = {Great example of using SAS table - the Don},
author = {Voas, David and Williamson, Paul},
journal = {International Journal of Population Geography},
keywords = {evaluation methodology,of anonymised records,populations,sample,small-area,synthetic microdata},
pages = {349--366},
title = {{An evaluation of the combinatorial optimisation approach to the creation of synthetic microdata}},
volume = {366},
year = {2000}
}