Abstract
Spatial models developed using deterministic interpolation techniques have been popularly used to predict the distribution of water quality parameters. A research was carried out to compare the performance of regularized spline and tension spline methods to estimate the surface water temperature of Pulau Tuba, Langkawi, Kedah. Twenty sampling points have been randomly set up to measure the level of surface water temperature using the Yellow Springs Instrument 650 Multiparameter Display System (YSI650 MDS) from September to November 2016. The data from half of the randomly selected sampling points have been used to calibrate the model while the remaining was used for validation. Regularized and tension spline interpolation methods were used in this research. Based on the correlation and error analysis, the research found that the tension spline method performed better than the regularized spline method. The spatial model developed using the tension spline method was then transformed into a map of temperature. The map accuracy assessment was then carried out and it was found that it produced a high accuracy to estimate the sea surface temperature at other locations. The developed map can be used by the government and private sector for the future and sustainable development of Pulau Tuba, Langkawi, Kedah.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bernhardsen T (2002) Geographic information systems: an introduction. Wiley, Hoboken, NJ
Bui DT, Do AN, Bui H, Hoang N (2017) Advances and applications in geospatial technology and earth resources. In: Proceedings of the international conference on geo-spatial technologies and earth resources 2017. Springer, Basingstoke, England
Costa CR, Costa MF, Dantas DV, Barletta M (2018) Interannual and seasonal variations in estuarine water quality. Front Mar Sci 5. https://doi.org/10.3389/fmars.2018.00301
Costello MJ, Chaudhary C (2017) Marine biodiversity, biogeography, deep-sea gradients, and conservation. Curr Biol 27(13):2051. https://doi.org/10.1016/j.cub.2017.06.015
Favorskaya MN, Jain LC (2017) Handbook on advances in remote sensing and geographic information systems: paradigms and applications in forest landscape modeling. Springer, Basingstoke, England
Garnero G, Godone D (2014) Comparisons between different interpolation techniques. ISPRS—Int Arch Photogramm, Remote Sens Spat Inf Sci XL-5/W3:139–144. https://doi.org/10.5194/isprsarchives-xl-5-w3-139-2013
Gholizadeh M, Melesse A, Reddi L (2016) A comprehensive review on water quality parameters estimation using remote sensing techniques. Sensors 16(8):1298. https://doi.org/10.3390/s16081298
Kalivas D, Kollias V, Apostolidis E (2013) Evaluation of three spatial interpolation methods to estimate forest volume in the municipal forest of the Greek island Skyros. Geo-Spat Inf Sci 16(2):100–112. https://doi.org/10.1080/10095020.2013.766398
Kamaruddin SA, Abd Aziz KN, Roslani MA, Tajam J, Zaınolabdın SN, Mohd Razman NF (2018) Mapping of salinity level using spline interpolation techniques over the water of Sungai Merbok Kedah. Malays J Sustain Environ 5(2):114. https://doi.org/10.24191/myse.v5i2.5620
Kamaruddin SA, Zainolabdin SN, Aziz KN, Roslani MA (2019) Comparative study of regularized and tension spline interpolation method to map surface-water salinity of Pulau Tuba, Langkawi, Kedah. Multidiscip Inform J 2(1):91–97. https://drive.google.com/file/d/1_qkJEiQql_Fh9KMOWZeeqoHgFrKQOPJC/view
Kuczynski L, Chevalier M, Laffaille P, Legrand M, Grenouillet G (2017) Indirect effect of temperature on fish population abundances through phenological changes. PLoS ONE 12(4):e0175735. https://doi.org/10.1371/journal.pone.0175735
Londoño-Ciro LA, Cañón-Barriga JE (2015) Imputation of spatial air quality data using gis-spline and the index of agreement in sparse urban monitoring networks. Revista Facultad de IngenierÃa Universidad de Antioquia (76). https://doi.org/10.17533/udea.redin.n76a09
Mariethoz PG, Caers J (2014) Multiple-point geostatistics: stochastic modeling with training images. Wiley, Hoboken, NJ
Panigrahi N (2014) Computing in geographic information systems. CRC Press, Boca Raton, FL
Pankhurst NW, Munday PL (2011) Effects of climate change on fish reproduction and early life history stages. Mar Freshw Res 62(9):1015. https://doi.org/10.1071/mf10269
Reger DL, Goode SR, Ball DW (2009) Chemistry: principles and practice. Cengage Learning, Boston, MA
Santer BD, Mears C, Wentz FJ, Taylor KE, Gleckler PJ, Wigley TM, Wehner MF (2007) Identification of human-induced changes in atmospheric moisture content. Proc Natl Acad Sci 104(39):15248–15253. https://doi.org/10.1073/pnas.0702872104
Szypuła B (2017) Geomorphometric comparison of DEMs built by different interpolation methods. Landf Anal 32:45–58. https://doi.org/10.12657/landfana.032.004
Tait A, Henderson R, Turner R, Zheng X (2006) Thin plate smoothing spline interpolation of daily rainfall for New Zealand using a climatological rainfall surface. Int J Climatol 26(14):2097–2115. https://doi.org/10.1002/joc.1350
Varouchakis ΕA, Hristopulos DT (2012) Comparison of stochastic and deterministic methods for mapping groundwater level spatial variability in sparsely monitored basins. Environ Monit Assess 185(1):1–19. https://doi.org/10.1007/s10661-012-2527-y
Weatherdon LV, Magnan AK, Rogers AD, Sumaila UR, Cheung WW (2016) Observed and projected impacts of climate change on marine fisheries, aquaculture, coastal tourism, and human health: an update. Front Mar Sci 3. https://doi.org/10.3389/fmars.2016.00048
Wei Z, Yun P, Jinliang Q, Xiaoli Y, Yanjiao L, Jing L (2012) Analysis and study on space variation laws of rainfall of Yuanyang Hani Terrace. Procedia Earth Planet Sci 5:94–101. https://doi.org/10.1016/j.proeps.2012.01.016
Wu Y, Hung M (2016) Comparison of spatial interpolation techniques using visualization and quantitative assessment. Appl Spat Stat. https://doi.org/10.5772/65996
Xiong L, Tang G (2019) Loess landform inheritance: modeling and discovery. Springer, Basingstoke, England
Acknowledgements
The authors gratefully acknowledge the generous assistance and support from the academic and nonacademic staff for their contributions in this research especially to Marine Research and Excellent Center (MAREC), Universiti Teknologi MARA, Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kamaruddin, S.A., Zainolabdin, S.N., Abd.Aziz, K.N., Roslani, M.A., Zohir, N.S.A.M., Al-Bakri, N.Y.M. (2020). A Comparative Study of the Accuracy of Regularized and Tension Spline Interpolation Methods to Map the Surface Water Temperature of Pulau Tuba, Langkawi, Kedah. In: Alias, N., Yusof, R. (eds) Charting the Sustainable Future of ASEAN in Science and Technology . Springer, Singapore. https://doi.org/10.1007/978-981-15-3434-8_25
Download citation
DOI: https://doi.org/10.1007/978-981-15-3434-8_25
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3433-1
Online ISBN: 978-981-15-3434-8
eBook Packages: Social SciencesSocial Sciences (R0)