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Spatio-temporal forecasting research benchmarks – Page 3 · SOTA2 Research

Spatio-temporal forecasting

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Beijing N=35, C=6 (test)

Double-Diffusion

15.29MAE

9

Apr 2, 2026

Diffusion-Reaction (test)

0.251NRMSE

9

May 18, 2026

PEMS-BAY (test)

1.56MAE

9

Feb 26, 2026

1.03MSE

8

Apr 23, 2026

Intensity-22 (3-day)

64.13MAE

8

Feb 27, 2026

10.04MAE

8

Feb 27, 2026

9.33MAE

8

Feb 27, 2026

BJ-Air 60% block missing

22.88MAE

7

May 21, 2026

BJ-Air 50% block missing

22.53MAE

7

May 21, 2026

BJ-Air 40% block missing

22.5MAE

7

May 21, 2026

BJ-Air 30% block missing

22.76MAE

7

May 21, 2026

BJ-Air 90% point missing

26.13MAE

7

May 21, 2026

BJ-Air 75% point missing

23.57MAE

7

May 21, 2026

BJ-Air 50% point missing

22.35MAE

7

May 21, 2026

BJ-Air 25% point missing

22.42MAE

7

May 21, 2026

Synthetic spatio-temporal T=500 (test)

Full Kriging (Oracle)

4.5RMSE

5

Feb 26, 2026

SUMO Shibuya District, Event-Driven Traffic (test)

2.13MAE

4

May 12, 2026

Tokyo Metro Dataset Cross-City California → Tokyo (test)

2.04MAE

4

May 12, 2026

Shallow Water (test)

1.82MSE

4

Mar 27, 2026

26.22MAE

4

Feb 26, 2026

27.32MAE

4

Feb 26, 2026

24.01MAE

4

Feb 26, 2026

Intensity-22 (2-day)

—

—MAE

0

Feb 26, 2026

Intensity-22 (1-day)

—

—MAE

0

Feb 26, 2026

—

—MAE

0

Feb 26, 2026

Page 3 of 4

Popular datasets

BJ-Air PEMS AQI PEMS04 PeMS07

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