measurement_center

Calculate the geometric center point of GeoJSON feature collections to determine the central location of spatial datasets for mapping and analysis 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

Input Schema (JSON Schema)

{ "properties": { "geojson": { "type": "string" }, "options": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null } }, "required": [ "geojson" ], "type": "object" }

Turf-MCP