interpolation_isolines
Generate isolines from point grid data to visualize continuous value boundaries like elevation or temperature contours for geographic analysis.
Instructions
从点网格生成等值线。
此功能从具有z值的点网格生成等值线,用于创建连续值的线状表示。
Args: point_grid: 点网格特征集合 - 类型: str (JSON 字符串格式的 GeoJSON FeatureCollection) - 格式: FeatureCollection with Point features (必须是方形或矩形网格) - 示例: '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.343, 39.984], "properties": {"elevation": 100}}, ...]}'
Returns: str: JSON 字符串格式的 GeoJSON FeatureCollection - 类型: GeoJSON FeatureCollection with LineString features - 格式: {"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "LineString", "coordinates": [...]}, "properties": {...}}, ...]} - 示例: '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "LineString", "coordinates": [...]}, "properties": {"value": 10}}, ...]}'
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 >>> point_grid = '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [-75.343, 39.984], "properties": {"temperature": 25.5}}]}' >>> breaks = '[0, 10, 20, 30]' >>> result = asyncio.run(isolines(point_grid, breaks, '{"zProperty": "temperature"}')) >>> print(result) '{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "LineString", "coordinates": [...]}, "properties": {"value": 10}}, ...]}'
Notes: - 输入参数 point_grid、breaks 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) - 点网格必须是方形或矩形排列 - 等值线用于可视化连续数据的等值边界 - 依赖于 Turf.js 库和 Node.js 环境
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| breaks | Yes | ||
| options | No | ||
| point_grid | Yes |