demo.py:
Five example analyses, including generating window-based slope and curvatures for artificial data with or without noise, curvatures of an example landscape, a speed test, and a visualization of differences between computed and analytical curvatures. Defaults to artificial data with noise, but other choices can be selected at the beginning of the file.

image_generator.py:
generate artificial images, in some cases including their analytical devatives

windowagg/agg_ops.py:
Enum of available aggregation operations

windowagg/aggregation.py:
agggregation methods, vectorized and brute force

windowagg/analyses.py:
Enum of available analyses

windowagg/dem.py:
spatial analyses for topographical calculations

windowagg/dem_data.py:
class to hold, export, and import data required for topographical calculations

windowagg/helper.py:
auxiliary functions

windowagg/sliding_window.py:
high-level class to handle entire analysis operations

Rasterio: Reads and writes GeoTIFF and other GIS formats to organize and store gridded raster datasets and provid a Python API based on Numpy N-dimensional arrays. Rasterio, has special dependencies of its own that must be satisfied before using this code.
See the rasterio installation guide for more information.

NumPy: Provides multidimensional array objects, and an assortment of routines for fast operations on arrays.

Affine: Matrices describing affine transformations of georeferenced raster datasets to map from image coordinates to world coordinates.

Matplotlib: A comprehensive library for creating static, animated, and interactive visualizations.