Prediction and inference in uncertain times and places
Coordinates of locations are sometimes jittered in publicly available geostatistical datasets for privacy reasons such as data protection. This paper aims to analyse the effect of jittering on the actual measurements recorded at each location by using a few spatial interpolation methods on simulated...
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sg-ntu-dr.10356-1750952024-04-19T15:46:15Z Prediction and inference in uncertain times and places Chia, Darryl Shen Yang Michele Nguyen School of Computer Science and Engineering michele.nguyen@ntu.edu.sg Computer and Information Science Coordinates of locations are sometimes jittered in publicly available geostatistical datasets for privacy reasons such as data protection. This paper aims to analyse the effect of jittering on the actual measurements recorded at each location by using a few spatial interpolation methods on simulated data and actual data. The differences in measurements collected for both when the data has been jittered and not jittered are analysed. Factors explaining the differences include the distribution of data and the spatial interpolation method used. Bachelor's degree 2024-04-19T05:30:30Z 2024-04-19T05:30:30Z 2024 Final Year Project (FYP) Chia, D. S. Y. (2024). Prediction and inference in uncertain times and places. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175095 https://hdl.handle.net/10356/175095 en SCSE FYP 0192 application/pdf Nanyang Technological University |
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Computer and Information Science Chia, Darryl Shen Yang Prediction and inference in uncertain times and places |
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Coordinates of locations are sometimes jittered in publicly available geostatistical datasets for privacy reasons such as data protection. This paper aims to analyse the effect of jittering on the actual measurements recorded at each location by using a few spatial interpolation methods on simulated data and actual data. The differences in measurements collected for both when the data has been jittered and not jittered are analysed. Factors explaining the differences include the distribution of data and the spatial interpolation method used. |
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Michele Nguyen |
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Michele Nguyen Chia, Darryl Shen Yang |
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Final Year Project |
author |
Chia, Darryl Shen Yang |
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Chia, Darryl Shen Yang |
title |
Prediction and inference in uncertain times and places |
title_short |
Prediction and inference in uncertain times and places |
title_full |
Prediction and inference in uncertain times and places |
title_fullStr |
Prediction and inference in uncertain times and places |
title_full_unstemmed |
Prediction and inference in uncertain times and places |
title_sort |
prediction and inference in uncertain times and places |
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Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/175095 |
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1800916299799330816 |