interpolation_tin

Create triangulated irregular networks from point data to model surfaces and analyze terrain by generating polygon meshes from elevation points.

Instructions

从点集创建不规则三角网。

此功能从点集创建不规则三角网，用于表面建模和地形分析。

Args: 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": [-75.343, 39.984], "properties": {"elevation": 100}}, ...]}'

z_property: z值属性名 - 类型: str 或 None - 描述: 用于z值的属性名，如果为None则不添加额外数据 - 示例: 'elevation'

Returns: str: JSON 字符串格式的 GeoJSON FeatureCollection - 类型: GeoJSON FeatureCollection with Polygon features - 格式: {"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Polygon", "coordinates": [...]}, "properties": {...}}, ...]} - 示例: '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Polygon", "coordinates": [...]}, "properties": {"a": 100, "b": 150, "c": 120}}, ...]}'

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": {"elevation": 100}}]}' >>> result = asyncio.run(tin(points, 'elevation')) >>> print(result) '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Polygon", "coordinates": [...]}, "properties": {"a": 100, "b": 150, "c": 120}}, ...]}'

Notes: - 输入参数 points 必须是有效的 JSON 字符串 - 坐标顺序为 [经度, 纬度] (WGS84 坐标系) - 不规则三角网用于创建连续的表面模型 - 每个三角形包含三个顶点的z值属性 - 依赖于 Turf.js 库和 Node.js 环境

Input Schema

Name	Required	Description	Default
`points`	Yes
`z_property`	No

Input Schema (JSON Schema)

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

Turf-MCP