空间化艾姆斯:补充艾姆斯,IA住房数据集用于空间社会生态分析
David Barbour1, Michail Fragkias1
11910 University Drive, Boise, ID 83725-1620, USA.
Data in brief
|October 29, 2025
概括
本研究引入了一个新的住房数据集,将土地覆盖面数据与房地产销售数据整合起来. 它可以研究土地覆盖对住房价值和生态系统服务的影响.
科学领域:
- 环境经济学环境经济学
- 数据科学数据科学数据科学
- 地理空间分析的研究.
背景情况:
- 艾姆斯,爱荷华州的住房数据集在经济学和数据科学中被广泛使用.
- 现有的数据集往往缺乏详细的空间和环境背景.
- 了解土地覆盖面和财产价值之间的关系对于城市规划和环境估值至关重要.
研究的目的:
- 引入一个空间显式数据集来补充艾姆斯住房数据.
- 为了研究土地覆盖面对财产价值的影响.
- 促进与土地覆盖相关的生态系统服务的估值.
主要方法:
- 将地理空间土地覆盖数据与房屋销售数据 (2006-2010年) 结合起来.
- 使用国家土地覆盖数据库 (NLCD) 整合的数据.
- 开发了用于创建空间显式变量的分析方法.
主要成果:
- 新的数据集允许探索住房市场的空间关系.
- 能够分析周围的土地覆盖如何影响房地产价值.
- 为在美国其他地区复制分析提供了一个框架.
结论:
- 该数据集增强了艾姆斯住房数据集,提供了重要的空间和生态信息.
- 它是计量经济学和数据科学教育的宝贵工具.
- 促进跨学科的研究,将社会,生态和空间因素联系起来.
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