Results 31 to 40 of about 2,216,546 (285)
Active Learning for Regression by Inverse Distance Weighting [PDF]
, 2022 This paper proposes an active learning (AL) algorithm to solve regression problems based on inverse-distance weighting functions for selecting the feature vectors to query.
Bemporad, Alberto
core +1 more source
Investigation of Spatial Variation of Some Soil Properties Using Geostatistical Methods (Case study: Margon Town, Kohgiluyeh and Boyer-Ahmad Province, Iran) [PDF]
محیط زیست و مهندسی آبThe aim of this study was to investigate the spatial variation of some soil properties such as soil texture, organic carbon content, soil pH and electrical conductivity (EC) using geostatistical methods in Margon town, Kohgiluyeh and Boyer-Ahmad province,
Vali Behnam +2 more
doaj +1 more source
Soil & Environment, 2017 Soil pH is considered as a core indicator for nutrient bioavailability. Prevailing alkaline pH due to calcareousness in Pakistan is considered as one of the limiting factor for nutrient availability to plants.
Humair Ahmed +3 more
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Comparison of Rain Erosivity Models (Factor R) Using Statistical Analysis [PDF]
Anuário do Instituto de Geociências, 2018 Comparison of rain erosivity models (Factor R) using statistical analysis. Modeling natural systems contributes to the understanding of the landscape variations, associated to the potential of renewable resources and the natural environments fragilities.
Edwaldo Henrique Bazana Barbosa +2 more
doaj +1 more source
Application of Geostatistics to Mineral Resource Modeling and Estimation: Case Study of Gofolo Hill Iron Ore Deposit, Western Liberia [PDF]
GeoreviewGeostatistical methods are essential in accurate mineral resource estimation, as they account for spatial correlations and uncertainties. This study evaluates the mineral resource of the Gofolo Hill deposit in Western Liberia using the ordinary kriging ...
Leo KLAH-WILSON +2 more
doaj +1 more source
Comparison Between Deterministic and Stochastic Interpolation Methods for Predicting Ground Water Level in Baghdad [PDF]
Engineering and Technology Journal, 2018 Surface interpolation techniques are usually used to create continuous data (i.e. raster data) from distributed set of point data over a geographical region.
Muammar Ali +2 more
doaj +1 more source
Spatiotemporal Interpolation for Environmental Modelling
Sensors, 2016 A variation of the reduction-based approach to spatiotemporal interpolation (STI), in which time is treated independently from the spatial dimensions, is proposed in this paper. We reviewed and compared three widely-used spatial interpolation techniques:
Ferry Susanto, Paulo de Souza, Jing He
doaj +1 more source
Engineering Proceedings, 2023 Rainfall data are crucial in hydrology models. In this study, the assessment of two spatial interpolation approaches of Inverse Distance Weighting (IDW) and Local Polynomial Interpolation (LPI) for rainfall in Peninsular Malaysia was conducted. The daily
Ren Jie Chin +4 more
doaj +1 more source
AN IMPROVED TEMPERATURE SPATIAL INTERPOLATION METHOD FOR SPACEBORNE LIDAR ATMOSPHERIC CORRECTION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 As one of the most important meteorological elements, temperature is an indispensable meteorological parameter for the atmospheric correction of spaceborne LiDAR ranging.
M. Zhou +5 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2022 An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments to ...
Alysha van Duynhoven +1 more
doaj +1 more source