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Von-fly's starred repositories

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

2913400

covid-19-data

A repository of data on coronavirus cases and deaths in the U.S.

NOASSERTION699100

spacetime

Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.

Language:PythonApache-2.015900

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

184100

SpaceTimeFields.jl

Tools for creating time profiles and spatial fields

Language:JuliaMIT200

gstar

Generalized Space-Time Autoregressive

Language:R400

SCANet_Real-Time_Face_Parsing_Using_Spatial_and_Channel_Attention

The official repository of "SCANet: Real-Time Face Parsing Using Spatial and Channel Attention," presented at the 2023 UR (Ubiquitous Robotics).

Language:Python1400

FSTN

Fourier Spatial-Temporal Network for Multivariate Time Series Forecasting

Language:Python1000

STSnet

Spatial Time Series processing with Neural Networks (STSnet)

Language:Jupyter NotebookGPL-3.0100

SF-Crime-Analysis

Spatial and Time Series Analysis of San Francisco Crimes

Language:Jupyter Notebook400

SIGSPATIAL-2021-GISCUP-4th-Solution

Liu, Zichuan, et al. "Multi-View Spatial-Temporal Model for Travel Time Estimation." Proceedings of the 29th International Conference on Advances in Geographic Information Systems. 2021.

Language:Python1100

WDR-LC

Estimated Time of Arrival Prediction via Modeling the Spatial-Temporal Interactions between Links and Crosses (GIS Cup)

Language:Python800

traja

Python tools for spatial trajectory and time-series data analysis

Language:Jupyter NotebookMIT9800

TALE

Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories.

Language:Python1700

CTLE

Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction

Language:Python3100

waterdata

Tuesday tutorials: data access, time series and spatial data analyses

Language:Jupyter NotebookNOASSERTION600

STID

Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

Language:PythonApache-2.017700

Weather-forecasting

Time-Spatial forecasting using LSTM

Language:Jupyter Notebook100

LA-Crime-Analysis

Perform spatial and time series analysis for a 10-year dataset of reported crimes from LA government

Language:Jupyter Notebook100

spinterps

Spatial interpolations using Kriging (Ordinary, Simple and External Drift) and IDW. Variogram fitting and clustering. Extraction of time series from raster data (GTiff and NC) to HDF5 or text. Take a look at the scripts in the "test" directory for how to use.

Language:Python100

STNF

The official code for Spatial-Temporal Normalizing Flow for Robust Multivariate Time Series Anomaly Detection

MIT100

Spatial-Statistics-Class-MIT

Final project Assignment in Eric Huntley's Spatial Statistics Workshop. My project executes a spatial regression analysis on positive covid cases in US states for 12 months after the lockdown in March 2020. I control for independent variables such as population density, political leaning, time etc to predict covid cases.

Language:HTMLCC0-1.0100

GNN-BuildingDataGen

Generating datasets of time-series data with spatial information and other meta-data of simulated buildings for use by graph neural networks.

Language:HTMLMIT100

Spatial-Temporal-Attention-Model

I proposes a novel spatio-temporal attention model to learn the spatial and temporal dependence from the time-series data

Language:PythonApache-2.0100

geospatial-analysis-2021-houston-blackouts

A spatial analysis of the impact of winter storms in 2021 on the Houston metropolitan area based on remotely-sensed night-time reflectance and EJScreen data.

Language:HTML100

Analysing-Tropospheric-Formaldehyde-gas-in-Sri-Lanka

• Utilize data engineering skills to analyse HCHO data in Sri Lanka. • Understand the importance of HCHO monitoring for air quality and climate studies. • Develop insights into potential HCHO sources and spatial/temporal trends. • Develop time series prediction algorithms (ML or otherwise)

Language:Jupyter NotebookMIT100

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