Results 11 to 20 of about 70,718 (257)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Enhancing Indoor Air Quality Estimation: A Spatially Aware Interpolation Scheme
ISPRS International Journal of Geo-Information, 2023 The comprehensive and accurate assessment of the indoor air quality (IAQ) in large spaces, such as offices or multipurpose facilities, is essential for IAQ management.
Seungwoog Jung, Seungwan Han, Hoon Choi
doaj +1 more source
Renmin Zhujiang, 2021 The spatial interpolation based on the limited observation data of precipitation stations is an effective means to explore the spatial characteristics of precipitation.This paper briefly introduces a spatial interpolation model based on the information ...
HUANG Huaping, YIN Kaixia, JIN Gaoyang
doaj