Metadata-Version: 2.1
Name: DynamicESF
Version: 0.1.0
Summary: DynamicESF: fast spatially and temporally varying coefficient model
Home-page: https://github.com/hayato-n/DynamicESF
Download-URL: https://github.com/hayato-n/DynamicESF
Author: Hayato Nishi
Author-email: hnishiua@gmail.com
License: BSE 3-Clause
Keywords: spatial statistics
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.8
License-File: LICENSE
Requires-Dist: numpy (>=1.21.5)
Requires-Dist: scipy (>=1.7.3)
Requires-Dist: tqdm (>=4.64.0)

# DynamicESF

Author implementation of DynamicESF model, which is computationally efficient spatially and temporally varying coefficient model.
This is an extension of SVC (Spatially Varying Coefficient) models for space-time analysis.

Nishi, H., Asami, Y., Baba, H., & Shimizu, C. (2022). Scalable spatiotemporal regression model based on Moran’s eigenvectors. *International Journal of Geographical Information Science*, 1–27. https://doi.org/10.1080/13658816.2022.2100891