A Framework for Comparative Space-Time Analysis

نویسنده

  • Xinyue Ye
چکیده

The coupled space-time attributes of economic phenomena at various scales are difficult to represent and examine. This paper aims to develop a framework that can be used to systematically generate research questions regarding patterns, trends, interactions, and relationships in space-time data, using economic growth data as an example. A taxonomy of methods is then suggested. The cross-fertilization between ESDA (exploratory spatial data analysis) and spatial economics is also identified and illustrated by the capabilities of these components.

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تاریخ انتشار 2010