TOPOLOGICAL 3D ELEVATION DATA INTERPOLATION OF ASTER GDEM BASED ON CONTINUOUS DEFORMATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In Geographic Information Science, polynomial methods such as linear estimation and non-polynomial methods including Inverse Distance Weighting and Kriging have been used for elevation data interpolation. In this paper, 3D data interpolation using linear
A. Jamali, F. A. Castro
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Enhancement of inverse-distance-weighting 2D interpolation using accelerated decline
Reports on Geodesy and Geoinformatics, 2023 Two-dimensional interpolation – or surface fitting – is an approximation tool with applications in geodetic datum transformations, terrain modelling and geoid determination.
Ruffhead Andrew Carey
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Modified Inverse Distance Weighting Interpolation for Particulate Matter Estimation and Mapping
Atmosphere, 2022 Various studies are currently underway on PM (Particulate Matter) monitoring in view of the importance of air quality in public health management.
Kanghyeok Choi, Kyusoo Chong
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Active learning for regression by inverse distance weighting
Information Sciences, 2023 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. The algorithm has the following features: (i) supports both pool-based and population-based sampling; (ii) is not tailored to a particular class of predictors; (iii) can handle ...
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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
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A GIS-Based Study of Air and Water Quality Trends in Madurai City, India [PDF]
Nature Environment and Pollution Technology, 2022 The objective of this study is to assess the air quality and water quality at Madurai city using the spatial interpolation technique of the Geographic Information System (GIS).
L. Balaji, M. Muthukannan and R. Kanniga Devi
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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
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Distance in spatial interpolation of daily rain gauge data [PDF]
, 2005 Spatial interpolation of rain gauge data is important in forcing of hydrological simulations or evaluation of weather predictions, for example. The spatial density of available data sites is often changing with time.
Ahrens, Bodo
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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
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