大数据时代的区域发展

J. Jankó, G. Szabó
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引用次数: 1

摘要

本文提出了罗马尼亚克卢日-纳波卡附近特兰西瓦尼亚平原地区领土发展的前瞻性分析方法。我们以景观建筑的方式概述了该地区的发展,并进行了类似的评估。在大数据时代,我们选择创造性地使用传统的分析方法。我们从有限数量的可用数据中提取尚未检测到的信息,这些数据之间的关系还很松散。所采用模型的关键特征是因果关系的本体论可追溯性。虽然技术可以收集大量的数据,但通过教育和专业实践获得的专业知识也不容忽视。我们证明,这种基于位置的分析方法能够在可靠、大容量、异构数据的时代为既定的空间规划原则提供增值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional Development in the Age of Big Data
Our paper presents a forward looking analytical approach to the territorial development in a region ofthe Transylvanian Plain situated in the vicinity of Cluj-Napoca, Romania. We outlined the development ofthis region with the means of landscape architecture supported by a comparable assessment. In the ageof Big Data we settled at creative usage of traditional analysis. We extracted yet undetected informationfrom a limited amount of available as yet loosely related data. The key feature of the employed model isthe ontological traceability of cause and effect. Although technology is available to collect enormous data,expert knowledge gained by education and professional practice cannot be overlooked. We demonstratethat this method of location based analysis is capable of delivering value added to established principlesof spatial planning in the age of trustworthy, large volume, heterogeneous data.
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