TY - BOOK ID - 32841924 TI - Morphisms for Quantitative Spatial Analysis AU - Griffith, Daniel A. AU - Paelinck, Jean H. P. PY - 2018 SN - 331972553X 3319725521 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Spatial analysis (Statistics) KW - Geographical information systems. KW - Statistics. KW - Econometrics. KW - Regional economics. KW - Spatial economics. KW - Economics. KW - Geographical Information Systems/Cartography. KW - Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. KW - Regional/Spatial Science. KW - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. KW - Humanities and Social Sciences, multidisciplinary. KW - Analysis, Spatial (Statistics) KW - Correlation (Statistics) KW - Spatial systems KW - Statistics for Social Sciences, Humanities, Law. KW - Economics KW - Regional planning KW - Regionalism KW - Space in economics KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Mathematics KW - Econometrics KW - Geographical information systems KW - GIS (Information systems) KW - Information storage and retrieval systems KW - Economics, Mathematical KW - Statistics KW - Geography KW - Statistics . KW - Spatial economics KW - Regional economics UR - https://www.unicat.be/uniCat?func=search&query=sysid:32841924 AB - This 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. . ER -