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Spatial machine learning: new opportunities for regional science
This paper is a methodological guide to using machine learning in the spatial context. It provides an overview of the existing spatial toolbox...
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Modern Methods for Studying the Spatial Structure of Urban Agglomerations (a Case Study of the St. Petersburg Urban Agglomeration)
Abstractthe article reviews and substantiates research methods and data sources on the dynamics of the spatial structure of the largest urban...
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Leslie Curry (1923–2009): Expounder of the Random Spatial Economy and Spatial Autocorrelation
Leslie Curry’s scholarly contributions had significant impacts on the early formation and evolution of the multidisciplinary field of regional...
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Regional Science Methods in Planning
This chapter focuses on the evolving relationship between regional science and planning since the mid-1950s when the Regional Science Association was...
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Regional Science Methods in Business
This chapter examines the links between regional science and its techniques and the business and commercial environment. Firstly, the focus is on the...
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Synergizing Science Consumption and Economic Growth: A Coupling Correlation Analysis in the Context of China’s Innovation Drive
In the midst of a global innovation surge, the convergence of financial resources with the realms of science and technology has emerged as a pivotal...
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Art Getis and Local Spatial Statistics
Art’s many contributions to the quantitative modeling of spatial processes provide a solid foundation for generations of researchers to come. In this...
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Alan Wilson (1939–): A Renaissance Man in Regional Science
Sir Alan Geoffrey Wilson is no ordinary regional scientist. Some sixty years ago, he began his career as a mathematician and theoretical physicist...
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Endogenous spatial regimes
The pioneering work of Getis and Ord on local spatial statistics has a counterpart in spatial econometrics in treating spatial heterogeneity. This...
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Data and Methods
This chapter briefly outlines the research framework and data collection process used in this volume, and discusses the indicators used for analysis,...
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Multi-Dimensional Models for Spatial Panels
Spatial econometric models are widely used to formalize interactions in geographical space or along networks. When applied to panel data, the...
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Investigating Science and Technology Finance and Its Implications on Real Economy Development: A Performance Evaluation in Chinese Provinces
This study presents a comprehensive analysis of the impact of science and technology finance on real economy development, focusing on 31 Chinese...
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Data and Methods in Spatial Science
One of the core strengths of scientific analysis is that it relies upon a base of evidence to make decisions and correct errors in the development of...
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A sco** review on the multiplicity of scale in spatial analysis
Scale is a central concept in the geographical sciences and is an intrinsic property of many spatial systems. It also serves as an essential thread...
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Issues and Prospects of Valuation Science
This introductory contribution indicates some of the main prospects of the SIEV 2019 Conference held at the Syracuse campus of the University of...
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The contribution of qualitative methods to economic research in an era of polycrisis
This article argues that the considerable socio-economic and political challenges posed by the polycrisis can be better understood through the...
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Spatial effects of green finance development in Chinese provinces under the context of high-quality energy development
This study integrates the current context of energy transition and China’s dual carbon goals. Utilizing data from 2011 to 2021, we establish an...
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Reflecting on a dynamic biennium: The Annals of Regional Science 2022–2023
The 2024 editorial update of The Annals of Regional Science reaffirms the journal’s dedication to transparency and scholarly excellence in the field...
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Dimension Reduction in the Topology of Multilayer Spatial Networks: The Case of the Interregional Commuting in Greece
The daily commuting out of the city of residence for labor purposes is a complex phenomenon driven by various geographical, transportation, economic,...
