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Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
Please cite: Zhang, Y., Ge, J., Wang, S., & Dong, C. (2024). Optimizing Urban Green Space Configurations for Enhanced Heat Island Mitigation: A Geographically Weighted Machine Learning Approach. Su…
Codes for Geographical Convergent Cross Mapping Method, It is designed for to infer causality from spatial cross-sectional data.
AI coding assistant for JupyterLab
GeoAI: Artificial Intelligence for Geospatial Data
The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the dri…
I love CV.
I love Computer Architectures.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Geographical Gaussian Process Regression (GGPR) model for spatial prediction and exploratory spatial data analysis
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
2024北京大学博弈论(nsd博弈论&政管博弈论)(刷分选课法)#pku#game theory
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
PySAL: Python Spatial Analysis Library Meta-Package