Results 11 to 20 of about 37,687 (235)
Dispersion Curve Interpolation Based on Kriging Method
Applied Sciences, 2023 Volcanic eruptions significantly impact human life. However, real-time high-precision imaging in this context still has limitations. Spatial–temporal interpolation can replace real-time data imaging, in order to obtain the state of a given volcano at any
Han Zhang, You Tian, Pengfei Zhao
doaj +1 more source
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
doaj +1 more source
Super-Resolution Reconstruction of Depth Image Based on Kriging Interpolation
Applied Sciences, 2023 The super-resolution of depth images is a research hotspot. In this study, the classical Kriging algorithm is applied to the spatial interpolation of depth images, together with the fractional-order differential method for edge recognition, to realise ...
Tingsheng Huang +4 more
doaj +1 more source
Environmental and Sustainability Indicators, 2021 Mapping spatial variations in tree density and woody species diversity, as indicators of intactness of tropical forests and woodlands, is potentially useful to nature conservation managers.
C. Munyati, N.I. Sinthumule
doaj +1 more source
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 +4 more
doaj +1 more source
Kriging Interpolation in Modelling Tropospheric Wet Delay [PDF]
Atmosphere, 2020 This contribution implements the Kriging interpolation in predicting the tropospheric wet delays using global navigation satellite system networks. The predicted tropospheric delays can be used in strengthening the precise point positioning models and numerical weather prediction models.
Hongyang Ma +4 more
openaire +4 more sources
Interpolating commodity futures prices with Kriging [PDF]
SSRN Electronic Journal, 2021 The shape of the futures term structure is essential to commodity hedgers and speculators as futures prices serve as a forecast of future spot prices. Commodity markets quotes futures prices on a selection of maturities and delivery periods. In this note, we investigate a Bayesian technique known as Kriging to build a term structure of futures prices ...
Maran, Andrea, Pallavicini, Andrea
openaire +2 more sources
Application of a four-dimensional space fractal interpolation algorithm in grade estimation
工程科学学报, 2015 Kriging interpolation is a widely used low-pass filter interpolation method, but it cannot reconstruct the high-frequency, low-frequency and partial information of original information.
HU Nai-lian +3 more
doaj +1 more source
On Point Spread Function modelling: towards optimal interpolation [PDF]
, 2011 Point Spread Function (PSF) modeling is a central part of any astronomy data analysis relying on measuring the shapes of objects. It is especially crucial for weak gravitational lensing, in order to beat down systematics and allow one to reach the full ...
Adam Amara +25 more
core +2 more sources
مجله آب و خاک, 2014 Available accurate and reliable precipitation data are so important in water resources management and planning. In this study,to determine the best method of regional precipitation estimate in Khuzestan province, estimated daily precipitation data from ...
M. Jamei +2 more
doaj +1 more source