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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Bibliographic Details
Main Author: Chia, Darryl Shen Yang
Other Authors: Michele Nguyen
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175095
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author Chia, Darryl Shen Yang
author2 Michele Nguyen
author_facet Michele Nguyen
Chia, Darryl Shen Yang
author_sort Chia, Darryl Shen Yang
collection NTU
description 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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spelling ntu-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
spellingShingle Computer and Information Science
Chia, Darryl Shen Yang
Prediction and inference in uncertain times and places
title 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_short Prediction and inference in uncertain times and places
title_sort prediction and inference in uncertain times and places
topic Computer and Information Science
url https://hdl.handle.net/10356/175095
work_keys_str_mv AT chiadarrylshenyang predictionandinferenceinuncertaintimesandplaces