Spatial microsimulation with R. (2016)

• Record Type: Book
• Further Information: Note: Robin Lovelace, Morgane Dumont.
• Authors: Lovelace, Robin; Dumont, Morgane
• Contents: Introducing spatial microsimulation with R; Introduction; Who this book is for and how to use it; Motivations; A definition of spatial microsimulation; Learning by doing; Why spatial microsimulation with R?; Learning the R language; Typographic conventions; An overview of the book SimpleWorld: A worked example of spatial microsimulation; Getting setup with the RStudio environment; SimpleWorld data; Generating a weight matrix; Spatial microdata; SimpleWorld in context What is spatial microsimulation?; Terminology; What spatial microsimulation is not; Applications; Assumptions Generating spatial microdata ; Data preparation; Accessing the input data; Target and constraint variables; Loading input data; Subsetting to remove excess information; Re-categorising individual level variables; Matching individual and aggregate level data names; ‘Flattening’ the individual level data Population synthesis; Weighting algorithms; Iterative Proportional Fitting; Integerisation; Expansion; Integerisation and expansion; Comparing ipfp with mipfp Alternative approaches to population synthesis; GREGWT; Population synthesis as an optimization problem; simPop; The Urban Data Science Toolkit (UDST) Spatial microsimulation in the wild; Selection of constraint variables; Preparing the input data; Using the ipfp package; Using the mipfp package; Comparing methods of reweighting large datasets Model checking and evaluation; Internal validation; Empty cells; External validation Population synthesis without microdata; Global cross-tables and local marginal distributions; Two level aggregated data Household allocation; Independent data (individuals and households); Cross data: individual and household level information Modelling spatial microdata ; The TRESIS approach to spatial microsimulation; Overview of TRESIS modelling system; Synthetic households; Using demand models to allocate synthetic households to zones using R; Conclusions Spatial microsimulation for agent-based models; ABM software; Setting up SimpleWorld in NetLogo; Allocating attributes to agents; Running SimpleWorld; Control the ABM from R Appendix: Getting up to speed with R Glossary Bibliography A summary appears at the end of each chapter.
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2016
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 519.50285; Spatial analysis (Statistics) -- Data processing; R (Computer program language)
• Languages: English
• ISBNs: 9781498711562
• Related ISBNs: 9781498711548
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.