Morphisms for Quantitative Spatial Analysis (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advanced Studies in Theoretical and Applied Econometrics, 51
Release date:	March 2018
First published:	2018
Authors:	Daniel A. Griffith • Jean H.P. Paelinck
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	258
Edition:	1st ed. 2018
ISBN-13:	978-3-319-72552-9
Categories:	Books > Reference & Interdisciplinary > Interdisciplinary studies > General Books > Business & Economics > Economics > Political economy Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Business & Economics > Economics > Econometrics > General Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
LSN:	3-319-72552-1
Barcode:	9783319725529

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!