interpolation_interpolate

Estimate values across a grid using inverse distance weighting interpolation based on known point data values and locations.

Instructions

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

Input Schema

Name	Required	Description	Default
`cell_size`	Yes
`options`	No
`points`	Yes

Input Schema (JSON Schema)

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

Turf-MCP