Results 1 to 10 of about 312,615 (81)

A generalized spatial autoregressive neural network method for three-dimensional spatial interpolation [PDF]

Geoscientific Model Development, 2023
Spatial interpolation, a fundamental spatial analysis method, predicts unsampled spatial data from the values of sampled points. Generally, the core of spatial interpolation is fitting spatial weights via spatial correlation.
J. Zhan, S. Wu, S. Wu, J. Qi, J. Qi, J. Zeng, M. Qin, M. Qin, Y. Wang, Y. Wang, Z. Du, Z. Du   +11 more
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Rainfall interpolation based on flood simulation in northren China [PDF]

E3S Web of Conferences, 2021
Due to the short duration, high intensity and sudden intensity of torrential rain, mountain torrents are easily formed in the northern hilly area.The distributed hydrological model is used as the main means of rain-flood forecasting.
Ran-hang Zhao, Lu Zhou, Hua-xing Li, Hong-tao Li, Zhen Qi, Ting Qiu, Tian Gan   +6 more
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A Hybrid Neural Network–Particle Swarm Optimization Informed Spatial Interpolation Technique for Groundwater Quality Mapping in a Small Island Province of the Philippines

Toxics, 2021
Water quality monitoring demands the use of spatial interpolation techniques due to on-ground challenges. The implementation of various spatial interpolation methods results in significant variations from the true spatial distribution of water quality in
Kevin Lawrence M. De Jesus, Delia B. Senoro, Jennifer C. Dela Cruz, Eduardo B. Chan   +3 more
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Evaluation of Different Spatial Interpolation Methods for IMERG Precipitation Zoning in Neyshabur Basin [PDF]

Journal of Hydraulic and Water Engineering, 2023
Direct measurement of continuous spatial data is almost impossible due to the limitations in data collection. To address this issue, many methods have been proposed for data interpolation.
M. Baseri, E. Mahjoobi
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Performance assessment of interpolation techniques for optimal areal rainfall–temperature estimation: the case of two contrasting river catchments, Akaki and Mille, in Ethiopia

Journal of Water and Climate Change, 2022
In the topographic complex catchments, landscape features have a significant impact on the spatial prediction of rainfall and temperature. In this study, performance assessments were made of various interpolation techniques for the prediction of the ...
Hirpo Gudeta Bati, Tenalem Ayenew Tegaye, Tena Alemirew Agumassie   +2 more
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Assessment of spatial interpolation techniques for drought severity analysis in Salt Lake Basin [PDF]

Desert, 2021
Drought risk management requires drought monitoring which is usually carried out by applying different drought indices which are, effectively, continuous functions of precipitation and other meteorological data.
Amir R. Keshtkar, N. Moazami, A. Afzali
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Comparison of Different Parameters of Feedforward Backpropagation Neural Networks in DEM Height Estimation for Different Terrain Types and Point Distributions

Systems, 2023
Digital Elevation Models (DEMs) are commonly used for environment, engineering, and architecture-related studies. One of the most important factors for the accuracy of DEM generation is the process of spatial interpolation, which is used for estimating ...
Alper Sen, Kutalmis Gumus
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Random Forest Spatial Interpolation

Remote Sensing, 2020
For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques.
Aleksandar Sekulić, Milan Kilibarda, Gerard B.M. Heuvelink, Mladen Nikolić, Branislav Bajat   +4 more
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A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics

Advances in Meteorology, 2020
Spatial interpolation of meteorological parameters, closely related to the earth surface, plays important roles in climatological study. However, most of traditional spatial interpolation methods ignore the geographic semantics of interpolation sample ...
Wenjun Wu, Ruijie Gan, Junli Li, Xiu Cao, Xinxin Ye, Jie Zhang, Hongjiao Qu   +6 more
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Optimal Cross‐Validation Strategies for Selection of Spatial Interpolation Models for the Canadian Forest Fire Weather Index System

Earth and Space Science, 2022
The Canadian forest fire weather index (FWI) system requires spatially continuous, gridded weather data for temperature, relative humidity, wind speed, and precipitation.
C. Risk, P. M. A. James
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