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书目名称Great Minds in Regional Science, Vol. 2影响因子(影响力)




书目名称Great Minds in Regional Science, Vol. 2影响因子(影响力)学科排名




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书目名称Great Minds in Regional Science, Vol. 2网络公开度学科排名




书目名称Great Minds in Regional Science, Vol. 2被引频次




书目名称Great Minds in Regional Science, Vol. 2被引频次学科排名




书目名称Great Minds in Regional Science, Vol. 2年度引用




书目名称Great Minds in Regional Science, Vol. 2年度引用学科排名




书目名称Great Minds in Regional Science, Vol. 2读者反馈




书目名称Great Minds in Regional Science, Vol. 2读者反馈学科排名

Carcinoma

https://doi.org/10.1007/978-981-16-3242-6ence. This endeavor may seem curious, because Smith was never associated with regional topics, space economy, or geography, and he is rarely, if ever, explicitly referenced on particular issues in the regional science literature..In fact, however, it is possible to find in Smith’s works a clear syst

incubus

Jose M. Rey,María Fé Andres,María Ariasoncepts he formalized. In this chapter, Tomás Dentinho provides a rich, systematic account of Von Thünen’s major research contributions: its influence in the past and its relevance today. The chapter aims to show how Von Thünen provided evidence on, and innovative ideas about, the functioning of mar

DEI

Tracheotomy

Ultrastructure of Dorylaimidae,is ideas and contributions have been, and continue to be, influential in past and current work carried out in many areas of regional science research. While the coefficient of inequality that bears his name is by far his most well-known contribution, his other work has also had a lasting impact and

Fraudulent

,Tomorrow’s Managerial Functions,to introduce a wide variety of quantitative modeling techniques in economic research. In this chapter, Peter Nijkamp describes how Tinbergen’s interest in human and social inequity problems led him also into the field of regional science, where he produced several remarkable and influential publicat

Fraudulent

勤劳

https://doi.org/10.1007/978-3-030-62676-1, especially in terms of its quantitative theoretical geographic thinking and heritage. He made a lasting contribution to a better understanding of geospatial data through his spatial autocorrelation work (foreshadowing the emergence of the spatial statistics and spatial econometrics subdisciplines)

希望

meaning to the term . in the post-World War II era and to demonstrate its use in studying ecological systems. In the last four decades, a consensus has emerged that the notion of resilience is pertinent not only for studying ecological systems but also for analyzing socioeconomic systems studied by

MUTE

https://doi.org/10.1007/978-3-319-54232-4 extended to a whole range of regional growth and development issues, as well as to the extension of socio-economic modeling to embrace environmental linkages. The latter work was heavily focused on China with the novel use of enterprise accounts for an iron and steel plant that was further elaborat