Regional Research Frontiers - Vol. 2: Methodological Advances, Regional Systems Modeling and Open Sciences (Advances in Spatial Science) - Image 1

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Springer Regional Research Frontiers - Vol. 2: Methodological Advances, Regional Systems Modeling and Open Sciences (Advances in Spatial Science)

Name: Regional Research Frontiers - Vol. 2: Methodological Advances, Regional Systems Modeling and Open Sciences (Advances in Spatial Science)
Brand: Springer
Price: 100.1 GBP
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Econometrics

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Description

This is the second volume in a two-part series on frontiers in regional research. It identifies methodological advances as well as trends and future developments in regional systems modelling and open science. Building on recent methodological and modelling advances, as well as on extensive policy-analysis experience, top international regional scientists identify and evaluate emerging new conceptual and methodological trends and directions in regional research. Topics such as dynamic interindustry modelling, computable general equilibrium models, exploratory spatial data analysis, geographic information science, spatial econometrics and other advanced methods are the central focus of this book. The volume provides insights into the latest developments in object orientation, open source, and workflow systems, all in support of open science. It will appeal to a wide readership, from regional scientists and economists to geographers, quantitatively oriented regional planners and other related disciplines. It offers a source of relevant information for academic researchers and policy analysts in government, and is also suitable for advanced teaching courses on regional and spatial science, economics and political science.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3319505890
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 25 April 2017
Listed Since: 03 November 2016

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Springer Regional Research Frontiers - Vol. 2: Methodological Advances, Regional Systems Modeling and Open Sciences (Advances in Spatial Science)

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