Results 11 to 20 of about 37,239 (228)

A GIS-Based Study of Air and Water Quality Trends in Madurai City, India [PDF]

open access: yesNature 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

open access: yesApplied 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

Interpolating commodity futures prices with Kriging [PDF]

open access: yesSSRN 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 by
Maran, Andrea, Pallavicini, Andrea
openaire   +2 more sources

Comparative suitability of ordinary kriging and Inverse Distance Weighted interpolation for indicating intactness gradients on threatened savannah woodland and forest stands

open access: yesEnvironmental 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

open access: yesRemote 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

Development of basic quantity surveying learning module through 21st century learning activity [PDF]

open access: yes, 2021
Technical and Vocational Education in Malaysia (TVET) is one of the most important branches of education to produce a balanced human capital. Not only the skills in the field need to be emphasized, but the skills also need to be enhanced under the ...
Abd Hafidz, Annis Surraiyya   +1 more
core   +1 more source

Location prediction optimisation in WSNs using Kriging interpolation [PDF]

open access: yesIET Wireless Sensor Systems, 2016
Many wireless sensor network (WSN) applications rely on precise location or distance information. Despite the potentials of WSNs, efficient location prediction is one of the subsisting challenges. This study presents novel prediction algorithms based on a Kriging interpolation technique. Given that each sensor is aware of its location only, the aims of
Ikpehai, A   +3 more
openaire   +3 more sources

Application of a four-dimensional space fractal interpolation algorithm in grade estimation

open access: yes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

Validation of Grid APHRODIT Daily Precipitation Estimates and Estimates derived from spatial interpolation of Precipitation in the Khuzestan province

open access: yesمجله 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

Global‐Krigger: A Global Kriging Interpolation Toolbox With Paleoclimatology Examples

open access: yesGeochemistry, Geophysics, Geosystems, 2023
Many applications in Earth sciences require spatial prediction, that is, obtaining a continuous scalar field from a set of discrete scalar data points on the Earth's surface.
N. J. Cosentino   +4 more
doaj   +1 more source

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