韩国的开放零售边界数据集使用开放数据和计算机视觉技术
Byeonghwa Jeong1, Juhwan Song2, Younghoon Kim3
1R&D Associate, Human Geography Group, Oak Ridge National Laboratory, Oak Ridge, USA.
Scientific data
|April 14, 2025
概括
这项研究引入了一种新的计算机视觉框架来划定韩国零售界限,创建了6636个边界的数据集,用于增强零售地理研究.
科学领域:
- 地理信息系统 (GIS) 是指地理信息系统.
- 计算机视觉 计算机视觉
- 零售分析 零售分析
背景情况:
- 了解零售业的动态需要准确地划出零售界限.
- 现有的研究缺乏在韩国背景下关于零售界限划分的具体研究.
- 准确的零售地理位置对于政策制定和经济分析至关重要.
研究的目的:
- 提出和验证一项新的方法来划定韩国零售界限.
- 为韩国创建一个全面的零售边界数据集.
- 支持对零售 gentrification,流行病恢复和电子商务影响的研究.
主要方法:
- 利用各种零售商和建筑数据集.
- 开发了一个基于计算机视觉的框架,结合了深层集体投票技术.
- 划出了6636个不同的零售界限.
主要成果:
- 在韩国成功划定了6636个零售界限.
- 根据现有参考数据验证划分的边界.
- 创建了零售地理研究的基础数据集.
结论:
- 拟议的框架有效地划定了韩国的零售界限.
- 生成的数据集增强了对零售地理及其动态的理解.
- 该资源支持未来关于零售弹性和城市发展的研究.
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