How many stations are sufficient? Exploring the effect of urban weather station density reduction on imputation accuracy of air temperature and humidity
Fuente:
arXiv
Saved in:
| Main Authors: | Plein, Marvin, Dormann, Carsten F., Christen, Andreas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
To impute or not to impute: How machine learning modelers treat missing data
by: Chen, Wanyi, et al.
Published: (2025)
by: Chen, Wanyi, et al.
Published: (2025)
Synthesizing Realistic Test Data without Breaking Privacy
by: Plein, Laura, et al.
Published: (2026)
by: Plein, Laura, et al.
Published: (2026)
Missing value imputation with adversarial random forests -- MissARF
by: Golchian, Pegah, et al.
Published: (2025)
by: Golchian, Pegah, et al.
Published: (2025)
Data from Automatic Weather Stations (AWS) in Freiburg from 2024-01-01 to 2024-12-31 [RAW]
by: Christen, Andreas, et al.
Published: (2026)
by: Christen, Andreas, et al.
Published: (2026)
Data from Automatic Weather Stations (AWS) in Freiburg from 2022-05-04 to 2022-12-31 [RAW]
by: Christen, Andreas, et al.
Published: (2026)
by: Christen, Andreas, et al.
Published: (2026)
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction
by: Do, Tu T., et al.
Published: (2023)
by: Do, Tu T., et al.
Published: (2023)
TREB: a BERT attempt for imputing tabular data imputation
by: Wang, Shuyue, et al.
Published: (2024)
by: Wang, Shuyue, et al.
Published: (2024)
Functional sufficient dimension reduction through information maximization with application to classification
by: Li, Xinyu, et al.
Published: (2023)
by: Li, Xinyu, et al.
Published: (2023)
No imputation without representation
by: Lenz, Oliver Urs, et al.
Published: (2022)
by: Lenz, Oliver Urs, et al.
Published: (2022)
Graph-based Active Learning for Entity Cluster Repair
by: Christen, Victor, et al.
Published: (2024)
by: Christen, Victor, et al.
Published: (2024)
Imputation using training labels and classification via label imputation
by: Nguyen, Thu, et al.
Published: (2023)
by: Nguyen, Thu, et al.
Published: (2023)
Another look at statistical inference with machine learning-imputed data
by: Gronsbell, Jessica, et al.
Published: (2024)
by: Gronsbell, Jessica, et al.
Published: (2024)
SEGAN: semi-supervised learning approach for missing data imputation
by: Pan, Xiaohua, et al.
Published: (2024)
by: Pan, Xiaohua, et al.
Published: (2024)
How many classifiers do we need?
by: Kim, Hyunsuk, et al.
Published: (2024)
by: Kim, Hyunsuk, et al.
Published: (2024)
Machine learning for accuracy in density functional approximations
by: Voss, Johannes
Published: (2023)
by: Voss, Johannes
Published: (2023)
missForestPredict -- Missing data imputation for prediction settings
by: Albu, Elena, et al.
Published: (2024)
by: Albu, Elena, et al.
Published: (2024)
Iterative missing value imputation based on feature importance
by: Guo, Cong, et al.
Published: (2023)
by: Guo, Cong, et al.
Published: (2023)
Missing data imputation for noisy time-series data and applications in healthcare
by: Le, Lien P., et al.
Published: (2024)
by: Le, Lien P., et al.
Published: (2024)
MAGIC: Multi-task Gaussian process for joint imputation and classification in healthcare time series
by: Ku, Dohyun, et al.
Published: (2025)
by: Ku, Dohyun, et al.
Published: (2025)
Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time series
by: Liu, Ying, et al.
Published: (2023)
by: Liu, Ying, et al.
Published: (2023)
Computationally sufficient statistics for Ising models
by: Jayakumar, Abhijith, et al.
Published: (2026)
by: Jayakumar, Abhijith, et al.
Published: (2026)
Self-organized free-flight arrival for urban air mobility
by: Waltz, Martin, et al.
Published: (2024)
by: Waltz, Martin, et al.
Published: (2024)
Rawlsian many-to-one matching with non-linear utility
by: Nana, Hortence, et al.
Published: (2025)
by: Nana, Hortence, et al.
Published: (2025)
mDAE : modified Denoising AutoEncoder for missing data imputation
by: Dupuy, Mariette, et al.
Published: (2024)
by: Dupuy, Mariette, et al.
Published: (2024)
Random features models: a way to study the success of naive imputation
by: Ayme, Alexis, et al.
Published: (2024)
by: Ayme, Alexis, et al.
Published: (2024)
Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators
by: Wesselkamp, Marieke, et al.
Published: (2024)
by: Wesselkamp, Marieke, et al.
Published: (2024)
How many classes do we need to see for novel class discovery?
by: Sarkar, Akanksha, et al.
Published: (2025)
by: Sarkar, Akanksha, et al.
Published: (2025)
Self-sufficient Independent Component Analysis via KL Minimizing Flows
by: Liu, Song
Published: (2025)
by: Liu, Song
Published: (2025)
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
by: Liu, Mingxuan, et al.
Published: (2022)
by: Liu, Mingxuan, et al.
Published: (2022)
Exploring the design space of deep-learning-based weather forecasting systems
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2024)
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2024)
Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies
by: Schwerter, Jakob, et al.
Published: (2024)
by: Schwerter, Jakob, et al.
Published: (2024)
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
by: Föge, Nico, et al.
Published: (2024)
by: Föge, Nico, et al.
Published: (2024)
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
by: Liguori, Antonio, et al.
Published: (2023)
by: Liguori, Antonio, et al.
Published: (2023)
Improving accuracy in short mortality rate series: Exploring Multi-step Forecasting Approaches in Hybrid Systems
by: Duarte, Filipe C. L., et al.
Published: (2025)
by: Duarte, Filipe C. L., et al.
Published: (2025)
Selecting a classification performance measure: matching the measure to the problem
by: Hand, David J., et al.
Published: (2024)
by: Hand, David J., et al.
Published: (2024)
Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets
by: Banus, Jaume, et al.
Published: (2020)
by: Banus, Jaume, et al.
Published: (2020)
How many samples are needed to train a deep neural network?
by: Golestaneh, Pegah, et al.
Published: (2024)
by: Golestaneh, Pegah, et al.
Published: (2024)
How many asymmetric communities are there in multi-layer directed networks?
by: Qing, Huan
Published: (2026)
by: Qing, Huan
Published: (2026)
Analyzing the effect of prediction accuracy on the distributionally-robust competitive ratio
by: Yoshinaga, Toru, et al.
Published: (2026)
by: Yoshinaga, Toru, et al.
Published: (2026)
Nonlinear model reduction for operator learning
by: Eivazi, Hamidreza, et al.
Published: (2024)
by: Eivazi, Hamidreza, et al.
Published: (2024)
Similar Items
-
To impute or not to impute: How machine learning modelers treat missing data
by: Chen, Wanyi, et al.
Published: (2025) -
Synthesizing Realistic Test Data without Breaking Privacy
by: Plein, Laura, et al.
Published: (2026) -
Missing value imputation with adversarial random forests -- MissARF
by: Golchian, Pegah, et al.
Published: (2025) -
Data from Automatic Weather Stations (AWS) in Freiburg from 2024-01-01 to 2024-12-31 [RAW]
by: Christen, Andreas, et al.
Published: (2026) -
Data from Automatic Weather Stations (AWS) in Freiburg from 2022-05-04 to 2022-12-31 [RAW]
by: Christen, Andreas, et al.
Published: (2026)