Skip to main content

DynamicESF: fast spatially and temporally varying coefficient model

Project description

# 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

DynamicESF-0.1.0.tar.gz (11.6 kB view hashes)

Uploaded Source

Built Distribution

DynamicESF-0.1.0-py3-none-any.whl (12.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page