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008 160324s2016 flua o 000|0|eng|d
010 _a(WlAbNL)99964850002419
015 _aGBB653374
_2bnb
020 _a9781498711562 (PDF ebook) :
_c£57.99
020 _z9781498711548 (paperback.) :
_c£57.99
035 _a(WlAbNL)(Uk)ark:/81055/vdc_100044355891.0x000001
035 _a(WlAbNL)(Uk)017804960
037 _aTANDF_387630
_bIngram Content Group
040 _aStDuBDS
_benglish
_cStDuBDS
_dUk
_erda
_epn
_dWlAbNL
042 _aukblsr
050 _aHA30.6 LOV
082 0 4 _a519.50285
_223
100 1 _aLovelace, Robin
_eauthor.
_0http://id.loc.gov/authorities/names/no2016088608
_1http://viaf.org/viaf/23146284443615332109
245 1 0 _aSpatial microsimulation with R /
_cRobin Lovelace and Morgane Dumont.
250 _aFirst editon
264 1 _aBoca Raton :
_bChapman & Hall/CRC,
_c2016.
300 _a1 online resource :
_billustrations (black and white).
_c26 centimeters.
336 _atext
_2rdacontent
336 _astill image
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 0 _aChapman & Hall/CRC the R series
505 0 _aIntroducing 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
505 0 _aindividual 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
505 0 _aHousehold 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.
506 1 _aLegal Deposit;
_cOnly available on premises controlled by the deposit library and to one user at any one time;
_eThe Legal Deposit Libraries (Non-Print Works) Regulations (UK).
_5WlAbNL
540 _aRestricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
_5WlAbNL
588 _aDescription based on CIP data; item not viewed.
650 0 _aSpatial analysis (Statistics)
_xData processing.
_0http://id.loc.gov/authorities/subjects/sh85126347
650 0 _aR (Computer program language)
_0http://id.loc.gov/authorities/subjects/sh2002004407
700 1 _aDumont, Morgane,
_ejoint author.
_0http://id.loc.gov/authorities/names/no2016088609
_1http://viaf.org/viaf/101146936686613781318
776 0 8 _iPrint version :
_z9781498711548
942 _2lcc
_cBOOK
_n0
981 _aLD-Ebook
999 _c280
_d280