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000826894 019__ $$a1028731551$$a1028948391$$a1028972775$$a1029028607$$a1029208873
000826894 020__ $$a9783319725536$$q(electronic book)
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000826894 1001_ $$aGriffith, Daniel A.,$$eauthor.
000826894 24510 $$aMorphisms for quantitative spatial analysis /$$cDaniel A. Griffith, Jean H.P. Paelinck.
000826894 264_1 $$aCham :$$bSpringer,$$c2018.
000826894 300__ $$a1 online resource :$$billustrations.
000826894 336__ $$atext$$btxt$$2rdacontent
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000826894 4901_ $$aAdvanced studies in theoretical and applied econometrics ;$$vvolume 51
000826894 504__ $$aIncludes bibliographical references and index.
000826894 5050_ $$aPreamble -- Introduction to Part 1: Spatial statistics -- Spatial autocorrelation and the p-Median problem -- Space-time autocorrelation -- The relative importance of spatial and temporal autocorrelation -- The spatial weights matrix and ESF -- Clustering: Spatial autocorrelation and location quotients -- Spatial autocorrelation parameter estimation for massively large georeferenced datasets -- Space-time data and semi-saturated fixed effects -- Spatial autocorrelation and spatial interaction gravity models -- General conclusions about spatial statistics -- Introduction to Part 2: Spatial econometrics -- Tinbergen-Bos systems: Combining combinatorial analysis with metric topology -- Time, space, or econotimespace?- Hybrid dynamical systems and control -- The W matrix revisited -- Clustering, some non-standard approaches -- Linear expenditure systems and related estimation problems -- Structural indicators galore -- Traveling with the salesman -- Complexer and complexer, said Alice -- General conclusions about spatial econometrics -- Epilogue -- References -- Subject index -- Author's index.
000826894 506__ $$aAccess limited to authorized users.
000826894 520__ $$aThis book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book “Non-standard Spatial Statistics and Spatial Econometrics” by the same authors, which was published by Springer in 2011. .
000826894 588__ $$aOnline resource ; title from PDF title page (viewed March 19, 2018).
000826894 650_0 $$aSpatial analysis (Statistics)
000826894 650_0 $$aSpace in economics$$xStatistical methods.
000826894 650_0 $$aEconometrics.
000826894 7001_ $$aPaelinck, Jean H. P.,$$eauthor.
000826894 77608 $$iPrint version: $$z3319725521$$z9783319725529$$w(OCoLC)1012302005
000826894 830_0 $$aAdvanced studies in theoretical and applied econometrics ;$$vv. 51.
000826894 852__ $$bebk
000826894 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-72553-6$$zOnline Access$$91397441.1
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