[1] | Ratsaramody J. (2024). Extreme Rainfall in Madagascar Part I: return levels and return periods with stationary and non-stationary models. Resources and Environnement, 2024, 14(1): 21-31.; https://doi.org/10.5923/j.re.20241401.02. |
[2] | González-Álvarez A., Viloria-Marimón O. M., Coronado-Hernández O. E., Vélez-Pereira A. M., Tesfagiorgis K., Coronado-Hernández J. R. (2019). Isohyetal Maps of Daily Maximum Rainfall for Different Return Periods for the Colombian Caribbean Region. Water 2019, 11, 358; https://doi.org/10.3390/w11020358. |
[3] | Chaperon P., Danloux J., Ferry L. (1993). Fleuves et Rivières de Madagascar. Ed. ORSTOM, Paris (France), (1993) 883 p. |
[4] | Stalenberg E., Hutchinson M.F., Foley W.J. (2018). Using historical normals to improve modern monthly climate normal surfaces for Madagascar. International Journal of Climatology. 2018; 38: 5746–5765. https://doi.org/10.1002/joc.5776. |
[5] | Karandish F. & Shahnazari A. (2014). Appraisal of the geostatistical methods to estimate Mazandaran coastal ground water quality. Caspian Journal of Environmental Sciences 2014, Vol. 12 No.1 pp. 129-146. |
[6] | Abo-Monasar A. & Al-Zahrani M.A. (2014). Estimation of rainfall distribution for the southwestern region of Saudi Arabia. Hydrological Sciences Journal, 59:2, 420-431. https://doi.org/10.1080/02626667.2013.872788. |
[7] | Teng H., Shi Z., Ma Z., Li Y. (2014). Estimating spatially downscaled rainfall by regression kriging using TRMM precipitation and elevation in Zhejiang Province, southeast China. International Journal of Remote Sensing, 35:22, 7775-7794. https://doi.org/10.1080/01431161.2014.976888. |
[8] | Xu W., Zou Y., Zhang G., Linderman M. (2015). A comparison among spatial interpolation techniques for daily rainfall data in Sichuan Province, China. International Journal of Climatology, 35: 2898–2907 (2015). https://doi.org/10.1002/joc.4180. |
[9] | Adhikary S.K., Muttil N., Yilmaz A.G. (2017). Cokriging for enhanced spatial interpolation of rainfall in two Australian catchments. Hydrological Processes. 2017; 31: 2143–2161. https://doi.org/10.1002/hyp.11163. |
[10] | Cecinati F., Wani O., Rico-Ramirez M.A. (2017). Comparing Approaches to Deal With Non-Gaussianity of Rainfall Data in Kriging-Based Radar-Gauge Rainfall Merging. Water Resources Research, 53, 8999–9018. https://doi.org/10.1002/2016WR020330. |
[11] | Pellicone G, Caloiero T, Modica G, Guagliardi I. (2018). Application of several spatial interpolation techniques to monthly rainfall data in the Calabria region (southern Italy). International Journal of Climatology. 2018; 38: 3651–3666. https://doi.org/10.1002/joc.5525. |
[12] | Das S. (2019). Extreme rainfall estimation at ungauged sites: Comparison between region-of-influence approach of regional analysis and spatial interpolation technique. International Journal of Climatology. 2019; 39: 407–423. https://doi.org/10.1002/joc.5819. |
[13] | DeGaetano A.T., Mooers G., Favata T. (2020). Temporal Changes in the Areal Coverage of Daily Extreme Precipitation in the Northeastern United States Using High-Resolution Gridded Data. Journal of Applied Meteorology and Climatology. Vol. 59, pp. 551-565. https://doi.org/10.1175/JAMC-D-19-0210.1. |
[14] | Liu, Y., Zhuo, L., Pregnolato, M., & Han, D. (2021). An assessment of statistical interpolation methods suited for gridded rainfall datasets. International Journal of Climatology, 42(5), 2754–2772. https://doi.org/10.1002/joc.7389. |
[15] | Caloiero T., Pellicone G., Modica G., Guagliardi I. (2021). Comparative Analysis of Different Spatial Interpolation Methods Applied to Monthly Rainfall as Support for Landscape Management. Applied Science, 2021, 11, 9566. https://doi.org/10.3390/app11209566. |
[16] | Ananias D.R.S., Liska G.R., Beijo L.A., Liska G.J.R., Silva de Menezes F. (2021). The assessment of annual rainfall field by applying different interpolation methods in the state of Rio Grande do Sul, Brazil. SN Applied Sciences (2021) 3: 687. https://doi.org/10.1007/s42452-021-04679-1. |
[17] | Hounkpè J., Diekkrüger B., Badou D. F., Afouda A. A. (2015). Non-Stationary Flood Frequency Analysis in the Ouémé River Basin, Benin Republic. Hydrology 2015, 2, 210-229; https://doi.org/10.3390/hydrology2040210. |
[18] | Cheng L., AghaKouchak A., Gilleland E., Katz R.W. (2014). Non-stationary extreme value analysis in a changing climate. Climatic Change, 2014, 127, 353–369. https://dx.doi.org/10.1007/s10584-014-1254-5. |
[19] | Pebesma E.J. (2004). Multivariable Geostatistics in S: The GSTAT Package. Computers and Geosciences, 30, 683-691. https://doi.org/10.1016/j.cageo.2004.03.012. |
[20] | Box, G. E. P., Cox, D. R. (1964). An analysis of transformations (with discussion). Journal of the Royal Statistical Society – Statistical Methodology 26:211–252. |
[21] | Varouchakis, E.A. (2021). Gaussian Transformation Methods for Spatial Data. Geosciences 2021, 11, 196. https://doi.org/10.3390/geosciences11050196. |
[22] | Fung K. F., Chew K. S., Huang Y. F., Ahmed A. N., Teo F. Y., Ng J. L., Elshafie A. (2022). Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia. Ain Shams Engineering Journal 13 (2022) 101571. https://doi.org/10.1016/j.asej.2021.09.001. |
[23] | Kumari M., Singh C.K., Bakimchandra O., Basistha A. (2017). Geographically weighted regression based quantification of rainfall–topography relationship and rainfall gradient in Central Himalayas. International Journal of Climatology, 2017; 37(3): 1299–309. |
[24] | Bivand R. S., Pebesma E., Gómez-Rubio V. (2013). Applied Spatial Data Analysis with R. Second Edition. Springer, New York 2013, https://doi.org/10.1007/978-1-4614-7618-4. |
[25] | Webster R., Oliver M.A. (2007). Geostatistics for Environmental Scientists. Second Edition. John Wiley & Sons Ltd. ISBN-13: 978-0-470-02858-2 (HB). 332 pages. |
[26] | Montero J.M., Fernández-Avilés G., Mateu J. (2015). Spatial and Spatio-Temporal Geostatistical Modeling and Kriging. John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118762387. |
[27] | Cheng K. S., Yeh H. C., Tsai C. H. (2000). An anisotropic spatial modeling approach for remote sensing image rectification. Remote Sensing of Environment, 73, 46–54. https://doi.org/10.1016/S0034-4257(00)00079-1. |
[28] | Wagner P.D., Fiener P., Wilken F., Kumar S., Schneider K. (2012). Comparison and evaluation of spatial interpolation schemes for daily rainfall in data scarce regions. Journal of Hydrology, 464–465, 388–400. https://doi.org/10.1016/j.jhydrol.2012.07.026. |
[29] | Gaetan C., Guyon X. (2010). Spatial Statistics and Modeling. Springer, ISBN 978-0-387-92256-0, (308 pages). https://doi.org/10.1007/978-0-387-92257-7. |
[30] | Adhikary S. K., Yilmaz A. G., Muttil N. (2015). Optimal design of rain gauge network in the Middle Yarra River catchment, Australia. Hydrological Processes. 29, 2582–2599 (2015). https://doi.org/10.1002/hyp.10389. |
[31] | Haddad K, Rahman A, Zaman MA, Shrestha S. (2013). Applicability of Monte Carlo cross validation technique for model development and validation using generalised least squares regression. Journal of Hydrology 482: 119–128. https://doi.org/10.1016/j.jhydrol.2012.12.041. |
[32] | Szolgay J., Parajka J., Kohnová S., Hlavcová K. (2009). Comparison of mapping approaches of design annual maximum daily precipitation. Atmospheric Research, 92(3), 289–307. https://doi.org/10.1016/j.atmosres.2009.01.009. |
[33] | Sanchez-Moreno J. F., Mannaerts C. M., Jetten V. (2014). Influence of topography on rainfall variability in Santiago Island, Cape Verde. International Journal of Climatology, 34: 1081 – 1097. https://doi.org/10.1002/joc.3747. |
[34] | Agarwal S., Mukherjee D., Debbarma N. (2023). Analysis of extreme annual rainfall in North-Eastern India using machine learning techniques. AQUA - Water Infrastructure, Ecosystems and Society. Vol 72 No 12, 2201. https://doi.org/10.2166/aqua.2023.016. |
[35] | Baker H.A., AL-Jawad S.N., Abdulla A.A. (2016). Applied Spatial Data Analysis Technique on Petrophysical Properties of MA Unit of Mishrif Formation / Noor Field. Iraqi Journal of Chemical and Petroleum Engineering, Vol.17 No.3 (September 2016) 75- 81, ISSN: 1997-4884. |