Turf-MCP

使用反距离权重法进行空间插值。

此功能根据已知点的属性值，使用反距离权重法在网格上估计属性值。

Args: points: 已知点的特征集合 - 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": [-75.343, 39.984], "properties": {"elevation": 100}}, ...]}'

cell_size: 网格单元大小
    - 类型: float
    - 描述: 每个网格单元的距离
    - 示例: 100.0

options: 可选参数配置
    - 类型: str (JSON 字符串) 或 None
    - 可选字段:
        - gridType: 网格类型 ('square', 'point', 'hex', 'triangle') (默认: 'square')
        - property: 用于插值的属性名 (默认: 'elevation')
        - units: 距离单位 (默认: 'kilometers')
        - weight: 距离衰减权重指数 (默认: 1)
        - bbox: 边界框数组 [minX, minY, maxX, maxY]
    - 示例: '{"gridType": "point", "property": "temperature", "units": "miles"}'

Returns: str: JSON 字符串格式的 GeoJSON FeatureCollection - 类型: GeoJSON FeatureCollection with Point or Polygon features - 格式: {"type": "FeatureCollection", "features": [...]} - 示例: '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.343, 39.984], "properties": {"temperature": 25.5}}, ...]}'

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 >>> points = '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.343, 39.984], "properties": {"temperature": 25.5}}]}' >>> result = asyncio.run(interpolate(points, 100.0, '{"gridType": "point", "property": "temperature"}')) >>> print(result) '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.343, 39.984], "properties": {"temperature": 25.5}}, ...]}'

Notes: - 输入参数 points 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) - 反距离权重法假设距离越近的点对插值结果影响越大 - 依赖于 Turf.js 库和 Node.js 环境