Weight Factor Determination of Reverse Distance Weighting Method in Computation of Geomagnetic Diurnal Variation Data

The spatial distribution of precipitation is one of the most important climatic variables used in geographic and environmental studies. However, when there is a lack of full coverage of meteorological stations, precipitation estimations are necessary to interpolate precipitation for larger areas. The purpose of this research was to find the best interpolation method for precipitation mapping in the partly densely populated Khorasan Razavi province of northeastern Iran. To achieve this, we compared five methods by applying average precipitation data from 97 rain gauge stations in that province for a period of 20 years (1994–2014): Inverse Distance Weighting, Radial Basis Functions (Completely Regularized Spline, Spline with Tension, Multiquadric, Inverse Multiquadric, Thin Plate Spline), Kriging (Simple, Ordinary, Universal), Co-Kriging (Simple, Ordinary, Universal) with an auxiliary elevation parameter, and non-linear Regression. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and the Coefficient of Determination (R2) were used to determine the best-performing method of precipitation interpolation. Our study shows that Ordinary Co-Kriging with an auxiliary elevation parameter was the best method for determining the distribution of annual precipitation for this region, showing the highest coefficient of determination of 0.46% between estimated and observed values. Therefore, the application of this method of precipitation mapping would form a mandatory base for regional planning and policy making in the arid to semi-arid Khorasan Razavi province during the future.

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Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method

Agriculture ◽

10.3390/agriculture11010050 ◽

2021 ◽

Vol 11 (1) ◽

pp. 50

Author(s):

Rumi Wang ◽

Runyan Zou ◽

Jianmei Liu ◽

Luo Liu ◽

Yueming Hu

Keyword(s):

Spatial Distribution ◽

Pearl River Delta ◽

Pearl River ◽

Weighting Method ◽

Farmland Protection ◽

The Pearl River Delta ◽

Hilly Region ◽

Distance Weighting ◽

The Pearl River ◽

Inverse Distance

Soil nutrients are essential factors that reflect farmland quality. Nitrogen, phosphorus, and potassium are essential elements for plants, while silicon is considered a “quasi-essential” element. This study investigated the spatial distribution of plant nutrients in soil in a hilly region of the Pearl River Delta in China. A total of 201 soil samples were collected from farmland topsoil (0–20 cm) for the analysis of total nitrogen (TN), available phosphorus (AP), available potassium (AK), and available silicon (ASi). The coefficients of variation ranged from 47.88% to 76.91%. The NSRs of TN, AP, AK, and ASi were 0.15, 0. 07, 0.12, and 0.13, respectively. The NSRs varied from 0.02 to 0.20. All variables exhibited weak spatial dependence (R2 < 0.5), except for TN (R2 = 0.701). After comparing the prediction accuracy of the different methods, we used the inverse distance weighting method to analyze the spatial distribution of plant nutrients in soil. The uniform spatial distribution of AK, TN overall showed a trend of increasing from northeast to southwest, and the overall spatial distribution of AP and ASi showed that the northeast was higher than the southwest. This study provides support for the delimitation of basic farmland protection areas, the formulation of land use spatial planning, and the formulation of accurate farmland protection policies.

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Evaluation of an inverse distance weighting method for patching daily and dekadal rainfall over the Free State Province, South Africa

Water SA ◽

10.4314/wsa.v42i3.12 ◽

2016 ◽

Vol 42 (3) ◽

pp. 466 ◽

Cited By ~ 5

Author(s):

Mokhele Edmond Moeletsi ◽

Zakhele Phumlani Shabalala ◽

Gert De Nysschen ◽

Sue Walker

Keyword(s):

South Africa ◽

Inverse Distance Weighting ◽

Free State ◽

Weighting Method ◽

Free State Province ◽

Distance Weighting ◽

Inverse Distance

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Comments on "Weighting Method for the Determination of the Irredundant Set of Prime Implicants"

IEEE Transactions on Computers ◽

10.1109/t-c.1974.224006 ◽

1974 ◽

Vol C-23 (6) ◽

pp. 646-646

Author(s):

P.S. Noe ◽

V.T. Rhyne ◽

S. Suraratrungsi

Keyword(s):

Weighting Method ◽

Prime Implicants

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IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE DETERMINATION SYSTEM OF THESIS SUPERVISOR

Jurnal Ilmiah Matrik ◽

10.33557/jurnalmatrik.v23i2.1425 ◽

2021 ◽

Vol 23 (2) ◽

pp. 133-141

Author(s):

Renny Puspita Sari ◽

Ferdy Febriyanto ◽

Ibnur Rusi

Keyword(s):

Higher Education ◽

Information Systems ◽

Higher Education Institutions ◽

Natural Sciences ◽

Weighting Method ◽

Weight Value ◽

Determination System ◽

Simple Additive Weighting

Majors are part of higher education institutions that a very important role determining the thesis student supervisor . At the Department of Information Systems, Faculty of Mathematics and Natural Sciences (MIPA) the determination of the thesis supervisor is carried out through a lecturer meeting based on its title in accordance with the competence of the lecturer who will guide, regardless of the number of lecturers' workload or the number of students being supervised. The results of the decision of the meeting to determine the supervisors will be announced to students after the meeting is held. This flow inefficient and may lead to ineffective determination of the supervisor . The final result of the system shows that the Simple Additive Weighting (SAW) method can be applied to determine the weight value of each attribute so as to produce a ranking of each alternative lecture who will be selected as a student supervisor for the thesis according to the result of computerized and accurate calculations.

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Determination of Protein and Solvent Volumes in Protein Crystals from Contrast Variation Data

Neutrons in Biology ◽

10.1007/978-1-4615-5847-7_29 ◽

1996 ◽

pp. 333-343

Author(s):

John Badger

Keyword(s):

Protein Crystals ◽

Contrast Variation ◽

Variation Data

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Sub-window inverse distance weighting method for removing salt-and-pepper noise

2017 International Electrical Engineering Congress (iEECON) ◽

10.1109/ieecon.2017.8075883 ◽

2017 ◽

Author(s):

Chaipichit Cumpim ◽

Rachu Punchalard

Keyword(s):

Inverse Distance Weighting ◽

Salt And Pepper Noise ◽

Weighting Method ◽

Distance Weighting ◽

Salt And Pepper ◽

Inverse Distance

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Increasing Efficiency of Field Water Re-Injection during Water-Flooding in Mature Hydrocarbon Reservoirs: A Case Study from the Sava Depression, Northern Croatia

Sustainability ◽

10.3390/su12030786 ◽

2020 ◽

Vol 12 (3) ◽

pp. 786 ◽

Cited By ~ 2

Author(s):

Tomislav Malvić ◽

Josip Ivšinović ◽

Josipa Velić ◽

Jasenka Sremac ◽

Uroš Barudžija

Keyword(s):

Water Injection ◽

Inverse Distance Weighting ◽

Hydrocarbon Reservoirs ◽

Water Flooding ◽

Injection Wells ◽

Weighting Method ◽

Hydrocarbon Production ◽

Recovery Method ◽

Distance Weighting ◽

Inverse Distance

The authors analyse the process of water re-injection in the hydrocarbon reservoirs/fields in the Upper Miocene sandstone reservoirs, located in the western part of the Sava Depression (Croatia). Namely, this is the “A” field with “L” reservoir that currently produces hydrocarbons using a secondary recovery method, i.e., water injection (in fact, re-injection of the field waters). Three regional reservoir variables were analysed: Porosity, permeability and injected water volumes. The quantity of data was small for porosity reservoir “L” and included 25 points; for permeability and injected volumes of water, 10 points each were measured. This study defined selection of mapping algorithms among methods designed for small datasets (fewer than 20 points). Namely, those are inverse distance weighting and nearest and natural neighbourhood. Results were tested using cross-validation and isoline shape recognition, and the inverse distance weighting method is described as the most appropriate approach for mapping permeability and injected volumes in reservoir “L”. Obtained maps made possible the application of the modified geological probability calculation as a tool for prediction of success for future injection (with probability of 0.56). Consequently, it was possible to plan future injection more efficiently, with smaller injected volumes and higher hydrocarbon recovery. Prevention of useless injection, decreasing number of injection wells, saving energy and funds invested in such processes lead to lower environmental impact during the hydrocarbon production.

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