interpolation_tin
Create irregular triangular networks from point data for surface modeling and terrain analysis. Generate continuous terrain models by connecting elevation points into triangular polygons.
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 |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |