measurement_center
Calculate the geometric center point of GeoJSON feature collections to determine central locations for spatial analysis and mapping applications.
Instructions
计算特征集合的中心点。
此功能计算给定特征集合的几何中心，返回所有特征边界框的中心点位置。
Args: geojson: GeoJSON 特征集合 - 类型: str (JSON 字符串格式的 GeoJSON) - 格式: 必须符合 GeoJSON FeatureCollection 规范 - 坐标系: WGS84 (经度在前，纬度在后) - 示例: '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.522259, 35.4691]}}, ...]}'
options: 可选参数配置
- 类型: str (JSON 字符串) 或 None
- 可选字段:
- properties: 传递给中心点的属性对象
- bbox: 边界框数组
- id: 传递给中心点的 ID
- 示例: '{"properties": {"name": "center point"}}'Returns: str: JSON 字符串格式的 GeoJSON Point 特征 - 类型: GeoJSON Feature with Point geometry - 格式: {"type": "Feature", "geometry": {"type": "Point", "coordinates": [lng, lat]}} - 示例: '{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.5, 35.5]}}'
Raises: Exception: 当 JavaScript 执行失败、超时或输入数据格式错误时抛出异常
Example: >>> import asyncio >>> geojson = '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.522259, 35.4691]}}]}' >>> options = '{"properties": {"name": "center point"}}' >>> result = asyncio.run(center(geojson, options)) >>> print(result) '{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-97.5, 35.5]}}'
Notes: - 输入参数 geojson 和 options 必须是有效的 JSON 字符串 - 坐标顺序为 [经度, 纬度] (WGS84 坐标系) - 返回的中心点是所有特征边界框的中心 - 依赖于 Turf.js 库和 Node.js 环境
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| geojson | Yes | ||
| options | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |