Geoskill: WorldPop Population

Search and download WorldPop high-resolution population and demographic GeoTIFF datasets by country, year, and type without an API key.

ruiduobao@ruiduobao

Install

openclaw skills install @ruiduobao/geoskill-worldpop-population

WorldPop Population

Search and download high-resolution population grid data from WorldPop. Datasets include population density (100m), births, age structures, contraceptive use, and more. No API key required.

Features

Search datasets by country, year, or type
Download population grids as GeoTIFF
List all available countries
JSON output for scripting

Usage

bash

# Search for China population data
python scripts\worldpop-population.py search --country China --year 2020

# Search by ISO code
python scripts\worldpop-population.py search --code CHN --type population

# Download a dataset by ID
python scripts\worldpop-population.py download --id 25 --output pop_chn_2020.tif

# List available countries
python scripts\worldpop-population.py list-countries

Installation

bash

pip install requests>=2.28.0 tqdm
# Or: pip install -r scripts/requirements.txt

Parameters

`search`

Argument	Required	Default	Description
`--country`	No*	—	Country name (e.g., "China")
`--code`	No*	—	ISO 3166-1 alpha-3 code (e.g., "CHN")
`--year`	No	—	Filter by year (2000-2020)
`--type`	No	—	Dataset type filter
`--json`	No	false	Output as JSON

* At least one of --country or --code is recommended.

`download`

Argument	Required	Default	Description
`--id`	Yes	—	Dataset ID (from search results)
`--output`	Yes	—	Output GeoTIFF path

`list-countries`

Argument	Required	Default	Description
`--json`	No	false	Output as JSON

Data Source

API: WorldPop REST API
Coverage: Global (100+ countries)
Resolution: 100m or 1km depending on dataset
Time range: 2000-2020
License: CC BY 4.0 (most datasets)
CRS: WGS84 (EPSG:4326)
Data type: float32
Nodata value: -99999

Valid `--type` Values

Type	Description
`population`	Population density (persons per pixel)
`births`	Number of births
`age_structures`	Age structure grids
`contraceptive_use`	Contraceptive use estimates
`poverty`	Poverty indicators
`urban_change`	Urban change classification
`gender`	Gender-related indicators
`disability`	Disability prevalence

File Size Estimates

~400MB per country at 100m resolution (uncompressed GeoTIFF)
~40MB per country at 1km resolution
Use --check-size before downloading large datasets

Example Search Output

json

[
  {
    "id": 25,
    "title": "China Population 2020",
    "year": 2020,
    "country": "CHN",
    "resolution": "100m",
    "type": "population",
    "url": "https://www.worldpop.org/..."
  }
]

Choosing Between Datasets

100m resolution: Best for local/regional analysis, urban planning
1km resolution: Suitable for national/regional overviews, faster processing
Population density: Most commonly used; persons per pixel
Births: Useful for health service planning
Age structures: Demographic analysis, dependency ratios

Citation

If you use WorldPop data in publications, please cite:

bibtex

@article{worldpop2018,
  title = {WorldPop, open data for spatial demography},
  author = {Tatem, Andrew J. and others},
  journal = {Scientific Data},
  volume = {5},
  pages = {180004},
  year = {2018},
  doi = {10.1038/sdata.2018.4}
}

Visualization

Plot population density with log scale: plt.imshow(np.log1p(data), cmap='hot')
Use rasterio.plot.show() for quick visualization
Create choropleth maps by aggregating to administrative boundaries
Overlay with contextily basemaps for context

Troubleshooting

Error	Cause	Solution
`ConnectionError`	Network issue	Check internet, retry
`HTTP 429`	Rate limit	Wait 60s, retry
`ValueError`	Invalid input	Check parameter format
Empty output	No data	Try different parameters
`ModuleNotFoundError`	Missing dep	Run pip install
Large file size	High resolution	Use 1km datasets or subset by bbox
Download timeout	Slow connection	Retry or use smaller dataset

Advanced Usage

Batch Country Download

bash

# Download population for multiple countries
for iso in CHN IND USA BRA; do
  python scripts\worldpop-population.py download     --iso $iso --type population --year 2020     --output pop_${iso}_2020.tif
  sleep 2
done

CI/CD Integration (GitHub Actions)

yaml

# .github/workflows/update-population.yml
name: Update Population Data
on:
  schedule:
    - cron: '0 0 1 1 *'  # Yearly
jobs:
  download:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.11'
      - run: pip install requests tqdm
      - run: |
          python scripts\worldpop-population.py download \
            --iso CHN --type population --year 2020 \
            --output data/china_pop2020.tif

Windowed Reading for Large Files

python

import rasterio
from rasterio.windows import Window
# Read only a subset to avoid loading 400MB into memory
with rasterio.open('pop_CHN_2020.tif') as src:
    window = Window(0, 0, 1000, 1000)  # top-left 1000x1000 pixels
    subset = src.read(1, window=window)

PostgreSQL/PostGIS Raster Import

bash

raster2pgsql -s 4326 -I -C pop_CHN_2020.tif public.worldpop | psql -d gis_db

Performance Tips

100m files are ~400MB; use windowed reading for subset analysis
Add sleep 2 between downloads to respect rate limits
Use --type population for total pop, --type population_density for per-km²
NoData value is -99999; mask before arithmetic operations

中文说明

从 WorldPop 搜索和下载高分辨率人口栅格数据（GeoTIFF）。包括人口密度（100m）、出生、年龄结构等数据集。无需 API 密钥。

功能

按国家、年份或类型搜索数据集
下载人口栅格为 GeoTIFF
列出所有可用国家
JSON 输出支持脚本调用

使用方法

bash

# 搜索中国人口数据
python scripts\worldpop-population.py search --country China --year 2020

# 按 ISO 代码搜索
python scripts\worldpop-population.py search --code CHN --type population

# 按 ID 下载数据集
python scripts\worldpop-population.py download --id 25 --output pop_chn_2020.tif

# 列出可用国家
python scripts\worldpop-population.py list-countries

数据来源

API: WorldPop REST API
覆盖范围: 全球（100+ 国家）
分辨率: 100m 或 1km（取决于数据集）
时间范围: 2000-2020
许可证: CC BY 4.0（大多数数据集）
坐标系: WGS84 (EPSG:4326)
数据类型: float32
无数据值: -99999

有效的 `--type` 值

类型	描述
`population`	人口密度（每像素人数）
`births`	出生人数
`age_structures`	年龄结构栅格
`contraceptive_use`	避孕药具使用估计
`poverty`	贫困指标
`urban_change`	城市变化分类
`gender`	性别相关指标
`disability`	残疾患病率

文件大小估计

100m 分辨率：每个国家约 400MB（未压缩 GeoTIFF）
1km 分辨率：每个国家约 40MB
下载大数据集前可使用 --check-size 查看大小

搜索结果示例

json

[
  {
    "id": 25,
    "title": "China Population 2020",
    "year": 2020,
    "country": "CHN",
    "resolution": "100m",
    "type": "population",
    "url": "https://www.worldpop.org/..."
  }
]

数据集选择指南

100m 分辨率: 适合局地/区域分析、城市规划
1km 分辨率: 适合国家/区域概览，处理更快
人口密度: 最常用；每像素人数
出生人数: 适用于卫生服务规划
年龄结构: 人口统计分析、抚养比

引用格式

如果发表使用 WorldPop 数据，请引用:

bibtex

@article{worldpop2018,
  title = {WorldPop, open data for spatial demography},
  author = {Tatem, Andrew J. and others},
  journal = {Scientific Data},
  volume = {5},
  pages = {180004},
  year = {2018},
  doi = {10.1038/sdata.2018.4}
}

可视化

使用对数比例绘制人口密度: plt.imshow(np.log1p(data), cmap='hot')
使用 rasterio.plot.show() 快速可视化
聚合到行政区划创建等值区域图
使用 contextily 底图叠加上下文

故障排除

错误	原因	解决方案
`ConnectionError`	网络问题	检查网络，重试
`HTTP 429`	速率限制	等待 60 秒后重试
`ValueError`	无效输入	检查参数格式
空输出	无数据	尝试不同参数
`ModuleNotFoundError`	缺少依赖	运行 pip install
文件过大	高分辨率	使用 1km 数据集或按边界截取
下载超时	网络慢	重试或使用更小的数据集

Geoskill: WorldPop Population

Install

WorldPop Population

Features

Usage

Installation

Parameters

search

download

list-countries

Data Source

Valid --type Values

File Size Estimates

Example Search Output

Choosing Between Datasets

Citation

Visualization

Troubleshooting

Advanced Usage

Batch Country Download

CI/CD Integration (GitHub Actions)

Windowed Reading for Large Files

PostgreSQL/PostGIS Raster Import

Performance Tips

中文说明

功能

使用方法

数据来源

有效的 --type 值

文件大小估计

搜索结果示例

数据集选择指南

引用格式

可视化

故障排除

`search`

`download`

`list-countries`

Valid `--type` Values

有效的 `--type` 值