Comparison of GIS-based interpolation methods for spatial distribution of soil organic carbon (SOC)
Journal of the Saudi Society of Agricultural Sciences, 2018 The ecological, economical, and agricultural benefits of accurate interpolation of spatial distribution patterns of soil organic carbon (SOC) are well recognized.
Gouri Sankar Bhunia +2 more
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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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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 +6 more
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PLoS ONE, 2022 The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li +3 more
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Comparative evaluation of interpolation methods for the directivity of musical instruments
EURASIP Journal on Audio, Speech, and Music Processing, 2021 Measurements of the directivity of acoustic sound sources must be interpolated in almost all cases, either for spatial upsampling to higher resolution representations of the data, for spatial resampling to another sampling grid, or for use in simulations
David Ackermann +4 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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Enhanced spatial error concealment with directional entropy based interpolation switching [PDF]
, 2006 This paper describes a spatial error concealment method that uses edge related information for concealing missing macroblocks in a way that not only preserves existing edges but also avoids introducing new strong ones.
Agrafiotis, D, Bull, DR, Canagarajah, CN
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Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types [PDF]
Hydrology and Earth System Sciences, 2014 Statistical models of the relationship between precipitation and topography are key elements for the spatial interpolation of rain-gauge measurements in high-mountain regions.
D. Masson, C. Frei
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Spatial interpolation of precipitation depending on elevation: Case study of the Skrapež River, Western Serbia [PDF]
Glasnik Srpskog Geografskog Društva, 2008 In order to make an adequate basic dataset for a subsequent hydrological research, the study of interpolation of precipitation values from measurement stations (points) to large areas (areas) was done.
Kovačević-Majkić Jelena +1 more
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A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets
ISPRS International Journal of Geo-Information, 2016 Space-time interpolation is widely used to estimate missing or unobserved values in a dataset integrating both spatial and temporal records. Although space-time interpolation plays a key role in space-time modeling, existing methods were mainly developed
Min Deng +3 more
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