NSAPH-Projects / spaceLinks
SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding
☆17Updated last month
Alternatives and similar repositories for space
Users that are interested in space are comparing it to the libraries listed below
Sorting:
- Towards causal inference for spatio-temporal data: conflict and forest loss in Colombia☆22Updated 3 years ago
- ☆11Updated 6 years ago
- A python library for creating complex networks of geospatial time series data - here examples from HadISST sea surface temperature data☆14Updated 3 years ago
- Software implementations of engression by Shen and Meinshausen (2023)☆35Updated 3 weeks ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆51Updated last year
- 🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others☆48Updated 6 months ago
- ☆15Updated 11 years ago
- A Causal Inference Framework for Environmental Data Analysis☆21Updated 4 years ago
- A Bayesian spatio-temporal interaction model for epidemiology.☆25Updated 5 years ago
- A user-friendly python package for computing and plotting machine learning explainability output.☆39Updated 11 months ago
- Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.☆25Updated 5 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Updated last week
- ☆13Updated 3 months ago
- ☆18Updated 10 months ago
- Spatial Interpolation in Python☆13Updated last year
- multilevel spatially-correlated variance components models☆18Updated last year
- ☆26Updated 2 years ago
- Learn about designing and training LLM Agents from Colab Notebooks☆14Updated 2 months ago
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- Linear Regression for data set with correlated or uncorrelated uncertainties in both axes.☆12Updated this week
- Tools for basic signal processing in epidemiology☆13Updated last week
- Fixed Rank Kriging with big data☆73Updated 3 weeks ago
- Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlati…☆14Updated 4 years ago
- ☆21Updated last year
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆58Updated 5 months ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 4 months ago
- A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictiv…☆39Updated 3 months ago
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 3 years ago
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago