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| 008 | 160324s2016 flua o 000|0|eng|d | ||
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_z9781498711548 (paperback.) : _c£57.99 |
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| 035 | _a(WlAbNL)(Uk)017804960 | ||
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_aTANDF_387630 _bIngram Content Group |
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_aStDuBDS _benglish _cStDuBDS _dUk _erda _epn _dWlAbNL |
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| 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 |
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| 245 | 1 | 0 |
_aSpatial microsimulation with R / _cRobin Lovelace and Morgane Dumont. |
| 250 | _aFirst editon | ||
| 264 | 1 |
_aBoca Raton : _bChapman & Hall/CRC, _c2016. |
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| 300 |
_a1 online resource : _billustrations (black and white). _c26 centimeters. |
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_atext _2rdacontent |
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_astill image _2rdacontent |
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_acomputer _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 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 |
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| 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 |
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| 588 | _aDescription based on CIP data; item not viewed. | ||
| 650 | 0 |
_aSpatial analysis (Statistics) _xData processing. _0http://id.loc.gov/authorities/subjects/sh85126347 |
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| 650 | 0 |
_aR (Computer program language) _0http://id.loc.gov/authorities/subjects/sh2002004407 |
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| 700 | 1 |
_aDumont, Morgane, _ejoint author. _0http://id.loc.gov/authorities/names/no2016088609 _1http://viaf.org/viaf/101146936686613781318 |
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| 776 | 0 | 8 |
_iPrint version : _z9781498711548 |
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_2lcc _cBOOK _n0 |
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| 981 | _aLD-Ebook | ||
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_c280 _d280 |
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