行业研究报告

ILO_利用遥感和随机森林对加纳劳动力市场数据进行网格化

2026-03管理咨询44 页

聚焦ILO_利用遥感和随机森林对加纳劳动力市场数据进行网格化。Attribution – The user must indicate if changes were made and must cite the work as follows:Yan, J., Matthieu, C., Yang, M., Zeshuo, L. Gridded-Labour Market Data in Ghana using Remote Sensing and Random Forest. ILO Working Paper 165. Geneva: International Labour Office, 2026.© ILO.

报告摘要

聚焦ILO_利用遥感和随机森林对加纳劳动力市场数据进行网格化。Attribution – The user must indicate if changes were made and must cite the work as follows:Yan, J., Matthieu, C., Yang, M., Zeshuo, L. Gridded-Labour Market Data in Ghana using Remote Sensing and Random Forest. ILO Working Paper 165. Geneva: International Labour Office, 2026.© ILO.

核心要点

  1. 内容概览:就业表现与主要指标
  2. 劳动力结构与市场变化
  3. 经济影响与关注要点

报告信息

文件全名
《ILO_利用遥感和随机森林对加纳劳动力市场数据进行网格化-44页.pdf》

常见问题

《ILO_利用遥感和随机森林对加纳劳动力市场数据进行网格化》主要包含哪些内容?

聚焦ILO_利用遥感和随机森林对加纳劳动力市场数据进行网格化。Attribution – The user must indicate if changes were made and must cite the work as follows:Yan, J., Matthieu, C., Yang, M., Zeshuo, L. Gridded-Labour Market Data in Ghana using Remote Sensing and Random Forest. ILO Working Paper 165. Geneva: International Labour Office, 2026.© ILO.

这份报告覆盖哪一年、篇幅多大?

覆盖 2026 年,全文共 44 页。

这份报告是免费的吗?如何获取?

本报告为付费报告,可在资料宝站内下单后获取完整内容。

继续阅读

同分类报告

查看全部 →
📱 登录