名称:2000-2019年高分辨率世界人类迁徙数据

浏览次数:220

关键词:人口迁移 高分辨率

提供者姓名:Niva, Venla等

提供者邮箱:

提供者单位:Aalto University

数据简介:该数据集提供了2000-2019年全球网格化(5弧分分辨率)详细的年度净迁移数据集。我们还提供了相同年份的全球年度出生率和死亡率数据集,用于估计净移民。

数据来源:https://zenodo.org/records/7997134

数据年份:2000-2019年

数据格式:.tif,.csv

数据大小:220M

读取软件:Arcgis

使用说明:院内外公开

是否提供小样本sample:不提供

下载链接:查看

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数据使用声明

为尊重知识产权、保障数据作者和数据服务提供者的权益,请数据使用者认真阅读数据提供方的使用规范:https://zenodo.org/records/7997134
。在基于本数据所产生的研究成果(包括项目评估报告、验收报告,以及学术论文或毕业论文等)中标注数据来源,并按照[文献引用方式]标注需引用的参考文献,同时将可公开成果提交到"北京师范大学系统科学学院大数据中心邮箱:sssdata.bnu.edu.cn"。

数据来源引用参考以下规范:

中文表达方式:2000-2019年高分辨率世界人类迁徙数据;英文表达方式:World's human migration patterns in 2000-2019 unveiled by high-resolution data。

致谢方式参考以下规范:

中文致谢方式:"感谢北京师范大学系统科学学院 (https://sssdata.bnu.edu.cn)提供数据支撑。"

英文致谢方式:" Acknowledgement for the data support from School of Systems Science, Beijing Normal University (https://sssdata.bnu.edu.cn)."

*本数据的使用者必须遵守数据提供方的使用要求和使用规范,依照《中华人民共和国数据安全法》的要求存储和使用相关数据。

*未经数据提供者的书面许可,任何单位及个人不得以任何方式或理由对上述数据产品、服务、信息、材料的任何部分进行复制、修改、抄录、传播及销售。

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ftp://210.31.77.10

账号:migrationnew

密码:Sss+


This dataset provides a global gridded (5 arc-min resolution) detailed annual net-migration dataset for 2000-2019. We also provide global annual birth and death rate datasets – that were used to estimate the net-migration – for same years. The dataset is presented in details, with some further analyses, in the following publication. Please cite this paper when using data. 

Niva et al. 2023. World's human migration patterns in 2000-2019 unveiled by high-resolution data. Nature Human Behaviour XX: TBA. Doi: TBA. (in press; see preprint at https://doi.org/10.21203/rs.3.rs-1827424/v1)

You can explore the data in our online net-migration explorer: https://wdrg.aalto.fi/global-net-migration-explorer/

 

Short introduction to the data

For the dataset, we collected, gap-filled, and harmonised:  

  1. a comprehensive national level birth and death rate datasets for altogether 216 countries or sovereign states; and  
  2. sub-national data for births (data covering 163 countries, divided altogether into 2555 admin units) and deaths (123 countries, 2067 admin units).

These birth and death rates were downscaled with selected socio-economic indicators to 5 arc-min grid for each year 2000-2019. These allowed us to calculate the 'natural' population change and when this was compared with the reported changes in population, we were able to estimate the annual net-migration. See more about the methods and calculations at Niva et al (2023).  

We recommend using the data either over multiple years (we provide 3, 5 and 20 year net-migration sums at gridded level) or then aggregated over larger area (we provide adm0, adm1 and adm2 level geospatial polygon files). This is due to some noise in the gridded annual data. 

Due to copy-right issues we are not able to release all the original data collected, but those can be requested from the authors. 

 

List of datasets

Birth and death rates: 

raster_birth_rate_2000_2019.tif: Gridded birth rate for 2000-2019 (5 arc-min; multiband tif) 

raster_death_rate_2000_2019.tif: Gridded death rate for 2000-2019 (5 arc-min; multiband tif) 

tabulated_adm1adm0_birth_rate.csv: Tabulated sub-national birth rate for 2000-2019 at the division to which data was collected (subnational data when available, otherwise national) 

tabulated_ adm1adm0_death_rate.csv: Tabulated sub-national death rate for 2000-2019 at the division to which data was collected (subnational data when available, otherwise national) 

 

Net-migration:  

raster_netMgr_2000_2019_annual.tif: Gridded annual net-migration 2000-2019 (5 arc-min; multiband tif) 

raster_netMgr_2000_2019_3yrSum.tif: Gridded 3-yr sum net-migration 2000-2019 (5 arc-min; multiband tif) 

raster_netMgr_2000_2019_5yrSum.tif: Gridded 5-yr sum net-migration 2000-2019 (5 arc-min; multiband tif) 

raster_netMgr_2000_2019_20yrSum.tif: Gridded 20-yr sum net-migration 2000-2019 (5 arc-min) 

 

polyg_adm0_dataNetMgr.gpkg: National (adm 0 level) net-migration geospatial file (gpkg)  

polyg_adm1_dataNetMgr.gpkg: Provincial (adm 1 level) net-migration geospatial file (gpkg) (if not adm 1 level division, adm 0 used) 

polyg_adm2_dataNetMgr.gpkg: Communal (adm 2 level) net-migration geospatial file (gpkg) (if not adm 2 level division, adm 1 used; and if not adm 1 level division either, adm 0 used) 

 

Files to run online net migration explorer 

masterData.rds and admGeoms.rds are related to our online ‘Net-migration explorer’ tool (https://wdrg.aalto.fi/global-net-migration-explorer/). The source code of this application is available in https://github.com/vvirkki/net-migration-explorer. Running the application locally requires these two .rds files from this repository. 

 

Metadata 

Grids: 

Resolution: 5 arc-min (0.083333333 degrees) 

Spatial extent: Lon: -180, 180; -90, 90 (xmin, xmax, ymin, ymax) 

Coordinate ref system: EPSG:4326 - WGS 84 

Format: Multiband geotiff; each band for each year over 2000-2019 

Units: 

  • Birth and death rates: births/deaths per 1000 people per year 

  • Net-migration: persons per 1000 people per time period (year, 3yr, 5yr, 20yr, depending on the dataset) 

 

Geospatial polygon (gpkg) files: 

Spatial extent: -180, 180; -90, 83.67 (xmin, xmax, ymin, ymax) 

Temporal extent: annual over 2000-2019 

Coordinate ref system: EPSG:4326 - WGS 84 

Format: gkpk 

Units:  

  • Net-migration: persons per 1000 people per year 


Additional details

Funding

Towards more resilient food system in the face of uncertainty / Consortium: LukeAalto 339834
Academy of Finland
SOS.aquaterra – Respecting safe operating spaces: opportunities to meet future food demand with sustainable use of water and land resources 819202 
European Commission
POPCLIMA – Population Dynamics under Global Climate Change 101002973 
European Commission
Water and vulnerability in fragile societies / Consortium: WATVUL 317320
Academy of Finland