How to Edit Polygon Coordinates Using Python, Shapely, and Fiona
Автор: vlogize
Загружено: 2025-05-27
Просмотров: 2
Описание:
Learn how to effectively modify intersecting polygon geometries in a shapefile with Python using Shapely and Fiona. Perfect for GIS developers!
---
This video is based on the question https://stackoverflow.com/q/66784929/ asked by the user 'anyryg' ( https://stackoverflow.com/u/14458781/ ) and on the answer https://stackoverflow.com/a/66920638/ provided by the user 'Can H. Tartanoglu' ( https://stackoverflow.com/u/9793651/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.
Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Edit polygon coords using Python, Shapely and Fiona
Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.
If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Edit Polygon Coordinates Using Python, Shapely, and Fiona
If you're working with geographic data in shapefiles, you may encounter a situation where you need to modify the geometry of intersecting polygons. This can be a complex task, but with the help of Python libraries like Shapely and Fiona, it’s entirely possible. In this guide, we’ll explore how to edit polygon coordinates and save the modified geometries back to a shapefile.
Understanding the Problem
Imagine you have a set of polygons in a shapefile (polygon23.shp) that intersect with one another, and you want to remove or rectify these intersections. This involves two key actions:
Identifying intersecting polygons.
Adjusting their geometries so they no longer overlap.
But how do you accomplish this in Python? Let’s dive into the solution!
Can You Rectify Intersecting Polygons?
The short answer is yes! With Python and libraries such as Shapely and Fiona, you can rectify intersections between polygons in your shapefile. However, keep in mind that you will need to create new Polygon objects rather than modifying existing ones directly.
Storing Metadata
Before we modify the polygons, it’s essential to store the metadata from the original shapefile. This metadata will be passed to create a new shapefile containing the rectified polygons, along with their properties. For this, we will use a separate list called set_of_properties.
Efficient Looping with Combinations
Instead of using nested for-loops to check for intersections between each pair of polygons, we can leverage the combinations function from the itertools standard library. This allows us to iterate through unique pairs of polygons efficiently.
Implementing the Solution
Let’s break down the steps involved in editing polygon coordinates:
1. Setup and Reading Shapefile
First, we need to import the required libraries and read the shapefile:
[[See Video to Reveal this Text or Code Snippet]]
2. Finding Intersecting Polygons
Next, we'll check for intersections using combinations and rectify them:
[[See Video to Reveal this Text or Code Snippet]]
3. Saving the Rectified Polygons
Finally, we need to save the modified polygons back into a new shapefile:
[[See Video to Reveal this Text or Code Snippet]]
Conclusion
Editing polygon coordinates in a shapefile might seem daunting, especially when dealing with intersections. However, with Python's powerful libraries like Shapely and Fiona, you can streamline the process effectively. With the steps outlined in this guide, you can now rectify intersecting polygon geometries and save the results back into a shapefile.
Whether you’re a GIS developer or a data scientist looking to work with geographic data, mastering these techniques will be invaluable. Happy coding!
Повторяем попытку...

Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: