classification_nearestPoint
Find the closest point feature to a target location from a collection of points. Calculates spherical distances in kilometers and returns the nearest point with distance data.
Instructions
查找距离目标点最近的点特征。
此功能从点集合中查找距离给定目标点最近的点特征，并返回该点及其距离信息。
Args: target_point: 目标点特征 - 类型: str (JSON 字符串格式的 GeoJSON Feature) - 格式: Feature with Point geometry - 示例: '{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.343, 39.984]}}'
points: 点特征集合
- 类型: str (JSON 字符串格式的 GeoJSON FeatureCollection)
- 格式: FeatureCollection with Point features
- 示例: '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.833, 39.284]}}, ...]}'Returns: str: JSON 字符串格式的最近点特征 - 类型: GeoJSON Feature with Point geometry and distance property - 格式: {"type": "Feature", "geometry": {"type": "Point", "coordinates": [lng, lat]}, "properties": {"distance": 距离数值, ...}} - 示例: '{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.833, 39.284]}, "properties": {"distance": 12.34, ...}}'
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 >>> target_point = '{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.343, 39.984]}}' >>> points = '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.833, 39.284]}}]}' >>> result = asyncio.run(nearestPoint(target_point, points)) >>> print(result) '{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.833, 39.284]}, "properties": {"distance": 12.34, ...}}'
Notes: - 输入参数 target_point 和 points 必须是有效的 JSON 字符串 - 坐标顺序为 [经度, 纬度] (WGS84 坐标系) - 计算的是球面距离，单位为千米 - 返回的点特征包含原始属性以及新增的 distance 属性 - 依赖于 Turf.js 库和 Node.js 环境
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| target_point | Yes | ||
| points | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |