| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w24796 |
| 来源ID | Working Paper 24796 |
| Detecting Urban Markets with Satellite Imagery: An Application to India | |
| Kathryn Baragwanath Vogel; Ran Goldblatt; Gordon H. Hanson; Amit K. Khandelwal | |
| 发表日期 | 2018-07-16 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | We propose a methodology for defining urban markets based on built-up land-cover classified from daytime satellite imagery. Compared to markets defined using minimum thresholds for nighttime light intensity, daytime imagery identify an order of magnitude more markets, capture more of India's urban population, are more realistically jagged in shape, and reveal more variation in the spatial distribution of economic activity. We conclude that daytime satellite data are a promising source for the study of urban forms. |
| 主题 | Development and Growth ; Development ; Regional and Urban Economics ; Regional Economics |
| URL | https://www.nber.org/papers/w24796 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/582470 |
| 推荐引用方式 GB/T 7714 | Kathryn Baragwanath Vogel,Ran Goldblatt,Gordon H. Hanson,et al. Detecting Urban Markets with Satellite Imagery: An Application to India. 2018. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w24796.pdf（3974KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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