A regional augmented PPP algorithm for offshore considering NWP by Ying Xu, Xiangdan Meng, Jianhui Cui, Lin Ma

“…Land and marine experiments are carried out to verify the effectiveness of this algorithm, evaluating ZTD interpolation accuracy and PPP positioning performance. …”
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Assessment of Groundwater Quality in the Talensi District, Northern Ghana by Larry Pax Chegbeleh, Bismark Awinbire Akurugu, Sandow Mark Yidana

“…Based on the water quality index (WQI) technique modified for the district and an interpolation technique using ordinary kriging developed from a well-fitted exponential semivariogram for the estimated WQIs, the groundwater quality has been spatially classified as generally ‘good’ to ‘excellent’ for domestic purposes. …”
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Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

“…Key water quality parameters—Sea Surface Temperature (SST), Total Suspended Solids (TSS), Turbidity, Salinity, and pH—were predicted through ML algorithms and interpolated using the Empirical Bayesian Kriging (EBK) model in ArcGIS Pro. …”
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Accurate Modeling of GaN HEMTs Oriented to Analysis of Kink Effects in S₂₂ and h₂₁: An Effective Machine Learning Approach by Zegen Zhu, Gianni Bosi, Antonio Raffo, Giovanni Crupi, Jialin Cai

“…It is worth noticing that the proposed transistor model shows also good performance in both interpolation and extrapolation test.…”
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Electromagnetic design, sensitivity analysis, optimization and Multiphysics capability of rare-earth-free synchronous reluctance motor for electric trike vehicle by V Rajini, VS Nagarajan, Karunya Harikrishnan, Mohan Lal Kolhe

“…Furthermore, an Extreme Learning Machine (ELM)-based interpolation technique is employed for estimating the performance parameters during each step of the optimization routine. …”
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APPLICATION OF THE SPECTROMETRIC METHOD FOR CALCULATING THE DOSE RATE FOR CREATING CALIBRATION HIGHLY SENSITIVE INSTRUMENTS BASED ON SCINTILLATION DETECTION UNITS by R. V. Lukashevich, G. A. Fokov

“…Then the whole full-scale energy range is divided into energy ranges for which the function G(E) is calculated using a linear interpolation.Spectrometric method for dose calculation using the function G(E), which allows the use of scintillation detection units for a wide range of dosimetry applications is considered in the article. …”
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Diagenetic Processes and Reservoir Heterogeneity in Salt-Encased Microbial Carbonate Reservoirs (Late Neoproterozoic, Oman) by Stephan Becker, Lars Reuning, Joachim E. Amthor, Peter A. Kukla

“…To visualize the distribution of diagenetic phases on a field scale, we constructed 2D interpolation diagenesis maps to identify patterns in cementation. …”
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Hierarchical Stratification for Spatial Sampling and Digital Mapping of Soil Attributes by Derlei D. Melo, Isabella A. Cunha, Lucas R. Amaral

“…Results showed that the 50% guided sample configuration improved ordinary kriging interpolation accuracy, particularly with sparse grids. …”
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Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France by A. Demortier, M. Mandement, V. Pourret, O. Caumont, O. Caumont

“…However, degradation of short-range forecasts are found when PWS observations are assimilated with the current operational 3DVar DA scheme in the atmosphere or jointly in the atmosphere and at the surface with 3DEnVar and optimal interpolation DA schemes. These results demonstrate that the benefit of assimilating PWS temperature and relative humidity observations can be highly dependent on the DA schemes and settings employed.…”
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Refining Sparse Cell-ID Trajectory of Public Service Vehicles by Spatiotemporal Modelling by Kemin Zhu, Junli Liu, Xianfeng Song, Weifeng Wang, Hao Chen

“…It shows a significant improvement in comparison of traditional interpolation methods.…”
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Improving WRF-Chem PM2.5 predictions by combining data assimilation and deep-learning-based bias correction by Xingxing Ma, Hongnian Liu, Zhen Peng

“…Four parallel experiments were conducted during winter 2019: a control experiment directly forecasted by WRF-Chem (experiment name: WRF-Chem); an experiment that assimilated in situ observations based on the GSI (Gridpoint Statistical Interpolation) system (WRF-Chem_DA); an experiment with deep-learning-based BC (WRF-Chem_BC); and an experiment considering the combination of DA on the initial conditions and BC (WRF-Chem_DA_BC). …”
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Recommendations for developing, documenting, and distributing data products derived from NEON data by Jeff W. Atkins, Kelly S. Aho, Xuan Chen, Andrew J. Elmore, Rich Fiorella, Wenqi Luo, Danica Lombardozzi, Claire Lunch, Leah Manak, Luis X. dePablo, Allison N. Myers‐Pigg, Sydne Record, Tong Qiu, Samuel Reed, Benjamin Ruddell, Brandon Strange, Christa L. Torrens, Kelsey Yule, Andrew D. Richardson

“…Derived data products are curated, documented, reproducibly‐generated datasets created by applying various processing steps to one or more lower level data products—including interpolation, extrapolation, integration, statistical analysis, modeling, or transformations. …”
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Multi-Criteria Assessment of Urban Thermal Hotspots: A GIS-Based Remote Sensing Approach in a Mediterranean Climate City by Javier Sola-Caraballo, Antonio Serrano-Jiménez, Carlos Rivera-Gomez, Carmen Galan-Marin

“…The novelty is based on leveraging the potential of the last Landsat 9 satellite, the application of kernel spatial interpolation, and GIS open access data, providing very high-resolution land surface temperature images over urban spaces. …”
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Refined Urban Functional Zones Identification via Empirical Bayesian Kriging: A POI-Weighted Scoring Innovation by Xuan Du, Yisha Pan, Xiaoyan Yang, Longgao Chen, Liangchen Liu, Ying Lin

“…Results indicate that: 1) The EBK interpolation method not only accounts for the spatial and directional distance relationships between known and unknown sample points, but also produces more accurate raster images and provides more precise estimates in unmeasured ranges. 2) The method successfully identifies UFZs for 99.5% of the buildings in the central urban area of Xuzhou. …”
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Seasonal Changes in Climate Variables in Rainfed Crop Areas in the Lerma-Chapala-Santiago Basin, Mexico by Raymundo Ordoñez-Sierra, Miguel A. Gómez-Albores, Carlos Díaz-Delgado, Luis Ricardo Manzano-Solís, Angel Rolando Endara-Agramont, Carlos Alberto Mastachi-Loza

“…Climate surfaces were generated by interpolation using the thin-plate smoothing spline algorithm in the software ANUSPLIN. …”
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Computer simulation of the soil water regime under an apple orchard in a mountainous area (using the example of the leached chernozem of the experimental agricultural station Gorno... by Svetlana V. Baboshkina, Olga A. Elchininova, Alexander V. Puzanov, Tamara A. Rozhdestvenskaya

“…The method of graphic interpolation was used for transition the soil texture classification from Russian to international one. …”
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PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution by Ranil Dhammapala, Ashani Basnayake, Sarath Premasiri, Lakmal Chathuranga, Karen Mera

“…With these corrected data, we interpolated satellite and model-derived PM2.5 annual averages at 1 km intervals. …”
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Peningkatan Performa Pengenalan Wajah pada Gambar Low-Resolution Menggunakan Metode Super-Resolution by Muhammad Imaduddin Abdur Rohim, Auliati Nisa, Muhammad Nurkhoiri Hindratno, Radhiyatul Fajri, Gembong Satrio Wibowanto, Nova Hadi Lestriandoko, Pesigrihastamadya Normakristagaluh

“…Data tersebut dilakukan proses down sampling menggunakan bicubic interpolation untuk menghasilkan data LR. Kami menginvestigasi penggunaan metode super-resolution (SR) berbasis deep learning, termasuk DFDNet, LapSRN, GFPGAN, Real-ESRGAN, Real-ESRGAN+GFPGAN, dan FaceSPARNet. …”
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How many trees to see the forest? Assessing the effects of morphospace coverage and sample size in performance surface analysis by Stephanie M. Smith, C. Tristan Stayton, Kenneth D. Angielczyk

“…To do this, we subsampled a pre‐existing set of turtle shell performance surfaces in four different ways: first, uniform subsampling of theoretical morphologies across the surface; second, random subsampling of theoretical morphologies across the surface; third, a combination uniform/random subsampling method called close‐pairs sampling and fourth, subsampling only points on the surface known to correspond to a naturally occurring turtle shell morphology. Each subset was interpolated with ordinary Kriging to produce a new performance surface for comparison to the original. …”
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Geospatial digital mapping of soil organic carbon using machine learning and geostatistical methods in different land uses by Yahya Parvizi, Shahrokh Fatehi

“…The spherical variogram model with MAE = 0.41 best fits to interpolate and map SOC using ordinary kriging in different land uses. …”
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