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GTKit - GIS Toolkit

GTKit (GIS Toolkit) is a library designed to streamline GIS (Geographic Information System) releated tasks. Whether it is geometry, GeoDataFrames, images, or mathematical operations, GTKit provides a set of commonly used methods and operations to simplify your workflow. This utility has been curated to include some of the regularly used methods and operations that I, frequently employ.

Features

GTKit offers a range of functionalities to assist you in working with GIS data effectively:

Geometry Operations: Perform various geometry-based operations such as splitting a LineString, line referencing, interpolation, extrapolation
GeoDataFrame Manipulation
Image Processing: Convert images to geometries, Generate Geometries from binary geo referenced mask
Mesh Creation: Create Mesh either using images or using LineString.

Installation with pip

External dependencies

Geopandas - installation
Rasterio - installation
GDAL - installation
Fiona - installation
Shapely - installation

Create conda env

conda env create --name gtkit --file=env.yml
conda activate gtkit

Run:

pip install gtkit

Usage

Import GTKit in your Python script or notebook:

import gtkit

GTKit's modular structure allows you to import specific functionalities as needed for your project.

Examples

<table> <tr> <th>A.</th> <td> <a href="tutorials/shpToBitmap.ipynb">Generate Bitmap From Shp</a>.</br> <a href="tutorials/bitmapToShp.ipynb">Generate Shp From Bitmap</a>. </td> <td> <img src="https://github.com/fuzailpalnak/gtkit/assets/24665570/880d07c9-3d77-448a-99a7-9fd1b6d873fb" alt="alt text" width="256" height="256"> </td> </tr> <tr> <th>B.</th> <td> <a href="tutorials/shp2Mesh.ipynb">Generate mesh around a line string</a>. </td> <td> <img src="https://github.com/fuzailpalnak/gtkit/assets/24665570/050e2df5-79c3-4d65-ad8a-d19d0ee9feb8" alt="alt text" width="256" height="256"> </td> </tr> <tr> <th>C.</th> <td> <a href="tutorials/lineOps.ipynb">Some geometry Operations</a>. </td> <td> <img src="https://github.com/fuzailpalnak/gtkit/assets/24665570/4b1ff8ae-6e62-4d92-b7fa-694591ea05f9" alt="alt text" width="256" height="256"> </td> </tr> </table>

Stitch And Split Geo Reference Image

import numpy as np

from gtkit.imgops import georead, geowrite
from gtkit.imgops import StitchNSplitGeo

sns = StitchNSplitGeo(split_size=(256, 256, 3), img_size=(1500, 1500, 3))
image = georead(r"22978945_15.tiff")

stitched_image = np.zeros((1500, 1500, 3))
for win_number, window in sns:
    split_image, meta = sns.split(image, window)
    # ....Processing on image
    stitched_image = sns.stitch(split_image, stitched_image, window)

geowrite(
    save_path=r"new.tiff",
    image=stitched_image,
    transform=image.transform,
    crs=image.crs,
)

Documentation

For detailed information on available methods, classes, and their usage, refer to the GTKit Documentation.