02014cam a22003498i 450000100090000000300040000900500170001300800410003001000170007102000300008802000310011802000270014904000230017604200080019905000220020708200170022924501050024626300090035126400700036030000140043033600260044433700280047033800270049849000540052550400510057952007500063065000340138065000180141465000340143270000360146677601620150221427482OSt20240418153835.0200211s2020    enk      b    001 0 eng    a  2020006869  a9780367470777q(hardback)  a9780367470760q(paperback)  z9781003033219q(ebook)  aDLCbengerdacDLC  apcc00aHA30.6b.A68 202000a519.5/3522300aApplied Spatial Statistics and Econometrics :bData Analysis in R /cKatarzyna Kopczewska, [editor].  a2008 1aMilton Park, Abingdon, Oxon ;aNew York, NY :bRoutledge,c[2020]  apages cm.  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier0 aRoutledge advanced texts in economics and finance  aIncludes bibliographical references and index.  a"This textbook is a comprehensive introduction to applied spatial data analysis, using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcase key topics including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github, to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data"--cProvided by publisher. 0aSpatial analysis (Statistics) 0aEconometrics. 0aR (Computer program language)1 aKopczewska, Katarzyna,eeditor.08iOnline version:tApplied spatial statistics and econometricsdMilton Park, Abingdon, Oxon ; New York, NY : Routledge, [2020]z9781003033219w(DLC) 2020006870