EDSGWR-main1.1

Figshare 2026 Thesis Open access

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Authors: Xiaoyu, Hu
DOI: 10.6084/m9.figshare.28574384
Cited by: 0

Abstract

Entropy and Dimensional Similarity-based Geographically Weighted Regression (EDSGWR)Release Notes [v1.1.0]1. Enhanced Execution Efficiency: Optimized the core codebase to significantly reduce runtime.2. Code Refactoring: Streamlined the internal structure for better performance without compromising accuracy.3. General Stability: Fixed minor bugs to improve overall robustness.

Fields of Study & Subjects

Spatial and Panel Data Analysis Geochemistry and Geologic Mapping Remote-Sensing Image Classification

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Thesis