| Status | Description |
|---|---|
| PyPI |     |
| GitHub |     |
| Codecov |  |
| Read the Docs | |
| PePy |  |
| License |  |
GeoAnalyze is a Python package designed to streamline geoprocessing by handling internal complexities and intermediate steps. Conceptualized and launched on October 10, 2024, this package is tailored for users with limited geospatial processing experience, allowing them to focus on desired outputs. Leveraging open-source geospatial Python modules, GeoAnalyze aims to empower users by providing high-level geoprocessing tools with fewer lines of code. This fast package is also useful for the users who has no access of paid GIS software packages.
The GeoAnalyze.Watershed and GeoAnalyze.Stream classes provide fast and scalable watershed delineation functions by leveraging the computational efficiency of the PyPI package
pyflwdir, without requiring a detailed understanding of it. These functions can be executed either individually or simultaneously.
- Basin area extraction from an extended Digital Elevation Model (DEM)
- DEM pit filling
- Slope calculation
- Slope classification
- Aspect determination
- Flow direction mapping
- Flow accumulation computation
- Stream extraction
- Subbasin generation
The computational efficiency of these functions is demonstrated in the following output figure. All delineation files—including basin area, flow direction, flow accumulation, slope, stream, outlets, and subbasins—can be generated within 30 seconds from a raster containing 14 million cells.
- Determines the adjacent downstream segment for each stream segment
- Retrieves adjacent upstream segments associated with each stream segment
- Builds full connectivity structures from upstream to downstream
- Computes connectivity structures from downstream to upstream
- Detects junction points within the stream network
- Locates drainage points within subbasins
- Identifies main outlet points
- Includes multiple functions for generating random boxes around selected stream segments
The GeoAnalyze package leverages the existing PyPI packages, such as, rasterio,
geopandas, and shapely,
to perform geoprocessing efficiently while reducing implementation complexity.
Instead of requiring multiple lines of code to handle intermediate steps,
the GeoAnalyze.Raster and GeoAnalyze.Shape classes streamline the process by automating these operations.
This allows users to execute geoprocessing tasks more efficiently, reducing code length while ensuring accuracy and scalability.
- Rasterizing input geometries
- Rescaling raster resolution
- Clipping a raster using a shapefile
- Overlaying geometries onto a raster
- Reprojecting the Coordinate Reference System (CRS)
- Handling NoData values in a raster
- Generating boundary polygons from a raster
- Reclassifying raster values
- Counting unique raster values
- Trimming and extending rasters
- Extracting raster values using a mask
- Merging multiple raster files
- Vectorizing a raster array
- Aggregating geometries from multiple shapefiles
- Executing spatial joins on geometries
- Reprojecting the CRS
- Filling polygons
- Performing column operations on a shapefile
When managing GIS files, each main file is often associated with several auxiliary files. For example, a shapefile
is commonly accompanied by .shp, .cpg, .dbf, .prj, and .shx files, which are necessary for the shapefile to function correctly.
In geoprocessing, these associated files must be handled together to prevent errors or data loss.
The GeoAnalyze.File class simplifies this process by ensuring that any operation performed
on a main file automatically includes its auxiliary files, making file management more efficient and error-free.
- Deleting files in a folder.
- Transferring files from the source folder to the destination folder.
- Renaming files in a folder.
- Copying files from the source folder and renames them in the destination folder.
- Extracting files with the same extension from a folder.
To install, use pip:
pip install GeoAnalyzeA brief example of how to start:
>>> import GeoAnalyze
>>> file = GeoAnalyze.File()For detailed information, see the documentation.
If this project has been helpful and you'd like to contribute to its development, consider sponsoring with a coffee! Support will help maintain, improve, and expand this open-source project, ensuring continued valuable tools for the community.
