Shapely几何计算工具：Python空间数据处理、GIS分析、多边形布尔运算

shapely-compute by parcadei/continuous-claude-v3

228 周安装量

3,700 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/parcadei/continuous-claude-v3 --skill shapely-compute

Python Web框架地理信息系统数据处理

🇨🇳中文介绍

使用 Shapely 进行几何计算

适用场景

创建几何形状（点、线、多边形）
布尔运算（交集、并集、差集）
空间谓词（包含、相交、在内部）
测量（面积、长度、距离、质心）
几何变换（平移、旋转、缩放）
验证和修复无效几何体

快速参考

我想...	命令	示例
创建几何体	`create`	`create polygon --coords "0,0 1,0 1,1 0,1"`
求交集	`op intersection`	`op intersection --g1 "POLYGON(...)" --g2 "POLYGON(...)"`
检查包含关系

广告位招租

在这里展示您的产品或服务

触达数万 AI 开发者，精准高效

联系我们

相关 Skills

FlyClaw：零登录航班聚合查询工具，Python实现多源航班信息与价格搜索

4,000,000 周安装

Lark Base CLI 使用指南：数据查询、公式与查找字段操作详解

31,400 周安装

Google Sheets 销售跟踪自动化：记录交易更新到表格的完整指南

7,100 周安装

FastAPI官方技能：Python Web开发最佳实践与CLI工具使用指南

1,100 周安装

根据坐标创建几何对象。

# 点
uv run python scripts/shapely_compute.py create point --coords "1,2"

# 线（2个及以上点）
uv run python scripts/shapely_compute.py create line --coords "0,0 1,1 2,0"

# 多边形（3个及以上点，自动闭合）
uv run python scripts/shapely_compute.py create polygon --coords "0,0 1,0 1,1 0,1"

# 带孔洞的多边形
uv run python scripts/shapely_compute.py create polygon --coords "0,0 10,0 10,10 0,10" --holes "2,2 8,2 8,8 2,8"

# 多点
uv run python scripts/shapely_compute.py create multipoint --coords "0,0 1,1 2,2"

# 多线串（竖线分隔的线）
uv run python scripts/shapely_compute.py create multilinestring --coords "0,0 1,1|2,2 3,3"

# 多多边形（竖线分隔的多边形）
uv run python scripts/shapely_compute.py create multipolygon --coords "0,0 1,0 1,1 0,1|2,2 3,2 3,3 2,3"

几何布尔运算。

# 两个多边形的交集
uv run python scripts/shapely_compute.py op intersection \
    --g1 "POLYGON((0 0,2 0,2 2,0 2,0 0))" \
    --g2 "POLYGON((1 1,3 1,3 3,1 3,1 1))"

# 并集
uv run python scripts/shapely_compute.py op union --g1 "POLYGON(...)" --g2 "POLYGON(...)"

# 差集 (g1 - g2)
uv run python scripts/shapely_compute.py op difference --g1 "POLYGON(...)" --g2 "POLYGON(...)"

# 对称差集 (XOR)
uv run python scripts/shapely_compute.py op symmetric_difference --g1 "..." --g2 "..."

# 缓冲区（扩展/侵蚀）
uv run python scripts/shapely_compute.py op buffer --g1 "POINT(0 0)" --g2 "1.5"

# 凸包
uv run python scripts/shapely_compute.py op convex_hull --g1 "MULTIPOINT((0 0),(1 1),(0 2),(2 0))"

# 外包矩形（边界框）
uv run python scripts/shapely_compute.py op envelope --g1 "POLYGON(...)"

# 简化（减少点数）
uv run python scripts/shapely_compute.py op simplify --g1 "LINESTRING(...)" --g2 "0.5"

空间关系测试（返回布尔值）。

# 多边形是否包含点？
uv run python scripts/shapely_compute.py pred contains \
    --g1 "POLYGON((0 0,2 0,2 2,0 2,0 0))" \
    --g2 "POINT(1 1)"

# 几何体是否相交？
uv run python scripts/shapely_compute.py pred intersects --g1 "..." --g2 "..."

# g1 是否在 g2 内部？
uv run python scripts/shapely_compute.py pred within --g1 "POINT(1 1)" --g2 "POLYGON(...)"

# 几何体是否接触（共享边界）？
uv run python scripts/shapely_compute.py pred touches --g1 "..." --g2 "..."

# 几何体是否交叉？
uv run python scripts/shapely_compute.py pred crosses --g1 "LINESTRING(...)" --g2 "LINESTRING(...)"

# 几何体是否不相交（无交集）？
uv run python scripts/shapely_compute.py pred disjoint --g1 "..." --g2 "..."

# 几何体是否重叠？
uv run python scripts/shapely_compute.py pred overlaps --g1 "..." --g2 "..."

# 几何体是否相等？
uv run python scripts/shapely_compute.py pred equals --g1 "..." --g2 "..."

# g1 是否覆盖 g2？
uv run python scripts/shapely_compute.py pred covers --g1 "..." --g2 "..."

# g1 是否被 g2 覆盖？
uv run python scripts/shapely_compute.py pred covered_by --g1 "..." --g2 "..."

# 面积（多边形）
uv run python scripts/shapely_compute.py measure area --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))"

# 长度（线、多边形周长）
uv run python scripts/shapely_compute.py measure length --geom "LINESTRING(0 0,3 4)"

# 质心
uv run python scripts/shapely_compute.py measure centroid --geom "POLYGON((0 0,2 0,2 2,0 2,0 0))"

# 边界（minx, miny, maxx, maxy）
uv run python scripts/shapely_compute.py measure bounds --geom "POLYGON(...)"

# 外环（仅多边形）
uv run python scripts/shapely_compute.py measure exterior_ring --geom "POLYGON(...)"

# 一次性获取所有测量值
uv run python scripts/shapely_compute.py measure all --geom "POLYGON((0 0,2 0,2 2,0 2,0 0))"

几何体之间的距离。

uv run python scripts/shapely_compute.py distance --g1 "POINT(0 0)" --g2 "POINT(3 4)"
# 返回: {"distance": 5.0, "g1_type": "Point", "g2_type": "Point"}

# 平移（移动）
uv run python scripts/shapely_compute.py transform translate \
    --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))" --params "5,10"
# 参数: dx,dy 或 dx,dy,dz

# 旋转（角度，默认绕质心）
uv run python scripts/shapely_compute.py transform rotate \
    --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))" --params "45"
# 参数: 角度 或 角度,原点_x,原点_y

# 缩放（默认从质心）
uv run python scripts/shapely_compute.py transform scale \
    --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))" --params "2,2"
# 参数: sx,sy 或 sx,sy,原点_x,原点_y

# 倾斜
uv run python scripts/shapely_compute.py transform skew \
    --geom "POLYGON(...)" --params "15,0"
# 参数: xs,ys (角度)

validate / makevalid

检查和修复几何体有效性。

# 检查是否有效
uv run python scripts/shapely_compute.py validate --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# 返回: {"is_valid": true, "type": "Polygon", ...}

# 修复无效几何体（自相交等）
uv run python scripts/shapely_compute.py makevalid --geom "POLYGON((0 0,2 2,2 0,0 2,0 0))"

从几何体中提取坐标。

uv run python scripts/shapely_compute.py coords --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# 返回: {"coords": [[0,0],[1,0],[1,1],[0,1],[0,0]], "type": "Polygon"}

解析 WKT 并获取几何体信息。

uv run python scripts/shapely_compute.py fromwkt "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# 返回: {"type": "Polygon", "bounds": [...], "area": 1.0, ...}

point - 单个坐标 (x, y) 或 (x, y, z)
line/linestring - 一系列连接的点
polygon - 闭合形状，可选孔洞
multipoint, multilinestring, multipolygon - 集合

坐标字符串 : "0,0 1,0 1,1 0,1" (空格分隔的 x,y 对)
WKT : "POLYGON((0 0, 1 0, 1 1, 0 1, 0 0))"

所有命令返回 JSON，包含：

wkt: 结果几何体的 WKT 表示
type: 几何类型 (Point, LineString, Polygon 等)
bounds: (minx, miny, maxx, maxy)
is_valid, is_empty: 有效性标志
测量特定字段 (area, length, distance 等)

用例	命令
碰撞检测	`pred intersects`
点包含在多边形内	`pred contains`
面积计算	`measure area`
缓冲区区域	`op buffer`
形状组合	`op union`
形状相减	`op difference`
边界框	`op envelope` 或 `measure bounds`
简化路径	`op simplify`

/math-mode - 完整的数学编排 (SymPy, Z3)
/math-plot - 使用 matplotlib 进行可视化

🇺🇸English

Computational Geometry with Shapely

When to Use

Creating geometric shapes (points, lines, polygons)
Boolean operations (intersection, union, difference)
Spatial predicates (contains, intersects, within)
Measurements (area, length, distance, centroid)
Geometry transformations (translate, rotate, scale)
Validating and fixing invalid geometries

Quick Reference

I want to...	Command	Example
Create geometry	`create`	`create polygon --coords "0,0 1,0 1,1 0,1"`
Intersection	`op intersection`	`op intersection --g1 "POLYGON(...)" --g2 "POLYGON(...)"`
Check contains	`pred contains`	`pred contains --g1 "POLYGON(...)" --g2 "POINT(0.5 0.5)"`
Calculate area	`measure area`	`measure area --geom "POLYGON(...)"`
Distance	`distance`	`distance --g1 "POINT(0 0)" --g2 "POINT(3 4)"`
Transform	`transform translate`	`transform translate --geom "..." --params "1,2"`
Validate	`validate`	`validate --geom "POLYGON(...)"`

Commands

create

Create geometric objects from coordinates.

# Point
uv run python scripts/shapely_compute.py create point --coords "1,2"

# Line (2+ points)
uv run python scripts/shapely_compute.py create line --coords "0,0 1,1 2,0"

# Polygon (3+ points, auto-closes)
uv run python scripts/shapely_compute.py create polygon --coords "0,0 1,0 1,1 0,1"

# Polygon with hole
uv run python scripts/shapely_compute.py create polygon --coords "0,0 10,0 10,10 0,10" --holes "2,2 8,2 8,8 2,8"

# MultiPoint
uv run python scripts/shapely_compute.py create multipoint --coords "0,0 1,1 2,2"

# MultiLineString (pipe-separated lines)
uv run python scripts/shapely_compute.py create multilinestring --coords "0,0 1,1|2,2 3,3"

# MultiPolygon (pipe-separated polygons)
uv run python scripts/shapely_compute.py create multipolygon --coords "0,0 1,0 1,1 0,1|2,2 3,2 3,3 2,3"

op (operations)

Boolean geometry operations.

# Intersection of two polygons
uv run python scripts/shapely_compute.py op intersection \
    --g1 "POLYGON((0 0,2 0,2 2,0 2,0 0))" \
    --g2 "POLYGON((1 1,3 1,3 3,1 3,1 1))"

# Union
uv run python scripts/shapely_compute.py op union --g1 "POLYGON(...)" --g2 "POLYGON(...)"

# Difference (g1 - g2)
uv run python scripts/shapely_compute.py op difference --g1 "POLYGON(...)" --g2 "POLYGON(...)"

# Symmetric difference (XOR)
uv run python scripts/shapely_compute.py op symmetric_difference --g1 "..." --g2 "..."

# Buffer (expand/erode)
uv run python scripts/shapely_compute.py op buffer --g1 "POINT(0 0)" --g2 "1.5"

# Convex hull
uv run python scripts/shapely_compute.py op convex_hull --g1 "MULTIPOINT((0 0),(1 1),(0 2),(2 0))"

# Envelope (bounding box)
uv run python scripts/shapely_compute.py op envelope --g1 "POLYGON(...)"

# Simplify (reduce points)
uv run python scripts/shapely_compute.py op simplify --g1 "LINESTRING(...)" --g2 "0.5"

pred (predicates)

Spatial relationship tests (returns boolean).

# Does polygon contain point?
uv run python scripts/shapely_compute.py pred contains \
    --g1 "POLYGON((0 0,2 0,2 2,0 2,0 0))" \
    --g2 "POINT(1 1)"

# Do geometries intersect?
uv run python scripts/shapely_compute.py pred intersects --g1 "..." --g2 "..."

# Is g1 within g2?
uv run python scripts/shapely_compute.py pred within --g1 "POINT(1 1)" --g2 "POLYGON(...)"

# Do geometries touch (share boundary)?
uv run python scripts/shapely_compute.py pred touches --g1 "..." --g2 "..."

# Do geometries cross?
uv run python scripts/shapely_compute.py pred crosses --g1 "LINESTRING(...)" --g2 "LINESTRING(...)"

# Are geometries disjoint (no intersection)?
uv run python scripts/shapely_compute.py pred disjoint --g1 "..." --g2 "..."

# Do geometries overlap?
uv run python scripts/shapely_compute.py pred overlaps --g1 "..." --g2 "..."

# Are geometries equal?
uv run python scripts/shapely_compute.py pred equals --g1 "..." --g2 "..."

# Does g1 cover g2?
uv run python scripts/shapely_compute.py pred covers --g1 "..." --g2 "..."

# Is g1 covered by g2?
uv run python scripts/shapely_compute.py pred covered_by --g1 "..." --g2 "..."

measure

Geometric measurements.

# Area (polygons)
uv run python scripts/shapely_compute.py measure area --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))"

# Length (lines, polygon perimeter)
uv run python scripts/shapely_compute.py measure length --geom "LINESTRING(0 0,3 4)"

# Centroid
uv run python scripts/shapely_compute.py measure centroid --geom "POLYGON((0 0,2 0,2 2,0 2,0 0))"

# Bounds (minx, miny, maxx, maxy)
uv run python scripts/shapely_compute.py measure bounds --geom "POLYGON(...)"

# Exterior ring (polygon only)
uv run python scripts/shapely_compute.py measure exterior_ring --geom "POLYGON(...)"

# All measurements at once
uv run python scripts/shapely_compute.py measure all --geom "POLYGON((0 0,2 0,2 2,0 2,0 0))"

distance

Distance between geometries.

uv run python scripts/shapely_compute.py distance --g1 "POINT(0 0)" --g2 "POINT(3 4)"
# Returns: {"distance": 5.0, "g1_type": "Point", "g2_type": "Point"}

transform

Affine transformations.

# Translate (move)
uv run python scripts/shapely_compute.py transform translate \
    --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))" --params "5,10"
# params: dx,dy or dx,dy,dz

# Rotate (degrees, around centroid by default)
uv run python scripts/shapely_compute.py transform rotate \
    --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))" --params "45"
# params: angle or angle,origin_x,origin_y

# Scale (from centroid by default)
uv run python scripts/shapely_compute.py transform scale \
    --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))" --params "2,2"
# params: sx,sy or sx,sy,origin_x,origin_y

# Skew
uv run python scripts/shapely_compute.py transform skew \
    --geom "POLYGON(...)" --params "15,0"
# params: xs,ys (degrees)

validate / makevalid

Check and fix geometry validity.

# Check if valid
uv run python scripts/shapely_compute.py validate --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# Returns: {"is_valid": true, "type": "Polygon", ...}

# Fix invalid geometry (self-intersecting, etc.)
uv run python scripts/shapely_compute.py makevalid --geom "POLYGON((0 0,2 2,2 0,0 2,0 0))"

coords

Extract coordinates from geometry.

uv run python scripts/shapely_compute.py coords --geom "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# Returns: {"coords": [[0,0],[1,0],[1,1],[0,1],[0,0]], "type": "Polygon"}

fromwkt

Parse WKT and get geometry information.

uv run python scripts/shapely_compute.py fromwkt "POLYGON((0 0,1 0,1 1,0 1,0 0))"
# Returns: {"type": "Polygon", "bounds": [...], "area": 1.0, ...}

Geometry Types

point - Single coordinate (x, y) or (x, y, z)
line/linestring - Sequence of connected points
polygon - Closed shape with optional holes
multipoint, multilinestring, multipolygon - Collections

Input Formats

Coordinates string : "0,0 1,0 1,1 0,1" (space-separated x,y pairs)
WKT : "POLYGON((0 0, 1 0, 1 1, 0 1, 0 0))"

Output Format

All commands return JSON with:

wkt: WKT representation of result geometry
type: Geometry type (Point, LineString, Polygon, etc.)
bounds: (minx, miny, maxx, maxy)
is_valid, is_empty: Validity flags
Measurement-specific fields (area, length, distance, etc.)

Common Use Cases

Use Case	Command
Collision detection	`pred intersects`
Point-in-polygon	`pred contains`
Area calculation	`measure area`
Buffer zones	`op buffer`
Shape combination	`op union`
Shape subtraction	`op difference`

Related Skills

/math-mode - Full math orchestration (SymPy, Z3)
/math-plot - Visualization with matplotlib

Weekly Installs

194

Repository

parcadei/contin…laude-v3

GitHub Stars

3.6K

First Seen

Jan 22, 2026

Security Audits

Gen Agent Trust HubPass SocketPass SnykPass

Installed on

opencode190

gemini-cli188

codex188

cursor186

github-copilot184

amp181

Apify Actor 输出模式生成工具 - 自动化创建 dataset_schema.json 与 output_schema.json

1,100 周安装

Shapely几何计算工具：Python空间数据处理、GIS分析、多边形布尔运算

🇨🇳中文介绍

使用 Shapely 进行几何计算

适用场景

快速参考

相关 Skills

命令

create

op (operations)

pred (predicates)

measure

distance

transform

validate / makevalid

coords

fromwkt

几何类型

输入格式

输出格式

常见用例

相关技能

🇺🇸English

Computational Geometry with Shapely

When to Use

Quick Reference

Commands

create

op (operations)

pred (predicates)

measure

distance

transform

validate / makevalid

coords

fromwkt

Geometry Types

Input Formats

Output Format

Common Use Cases

Related Skills

最新 Skills