Results 21 to 30 of about 312,615 (81)
A statistical gap-filling method to interpolate global monthly surface ocean carbon dioxide data [PDF]
, 2015 We have developed a statistical gap-filling method adapted to the specific coverage and prop-erties of observed fugacity of surface ocean CO2(fCO2). We have used this method to interpolate the Sur-face Ocean CO2Atlas (SOCAT) v2 database on a 2.5832.58 ...
Andrew C. Manning +77 more
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Interpolation of nonstationary high frequency spatial-temporal temperature data [PDF]
, 2013 The Atmospheric Radiation Measurement program is a U.S. Department of Energy project that collects meteorological observations at several locations around the world in order to study how weather processes affect global climate change.
Guinness, Joseph, Stein, Michael L.
core +1 more source
European Journal of Geography, 2023 Population data are commonly sourced from censuses, and to meet confidentiality requirements, they are spatially aggregated into standardized enumeration units.
Marios Batsaris +3 more
doaj +1 more source
Revista Facultad de Ingeniería Universidad de Antioquia, 2015 This paper presents a procedure to address the lack of spatial air quality data in urban areas, based on the use of Geographic Information Systems (GIS) and spatial interpolation techniques as an alternative to conventional methods of statistical ...
Libardo Antonio Londoño-Ciro +1 more
doaj +1 more source
Spatial snow water equivalent estimation for mountainous areas using wireless-sensor networks and remote-sensing products [PDF]
, 2018 We developed an approach to estimate snow water equivalent (SWE) through interpolation of spatially representative point measurements using a k-nearest neighbors (k-NN) algorithm and historical spatial SWE data.
Bales, RC +4 more
core +1 more source
Comparison Between Deterministic and Stochastic Interpolation Methods for Predicting Ground Water Level in Baghdad [PDF]
Engineering and Technology Journal, 2018 Surface interpolation techniques are usually used to create continuous data (i.e. raster data) from distributed set of point data over a geographical region.
Muammar Ali +2 more
doaj +1 more source
Spatial interpolation of high-frequency monitoring data
, 2009 Climate modelers generally require meteorological information on regular grids, but monitoring stations are, in practice, sited irregularly. Thus, there is a need to produce public data records that interpolate available data to a high density grid ...
Stein, Michael L.
core +1 more source
NUST Journal of Engineering Sciences, 2017 Spatial interpolation is commonly used to generate water quality surfaces, but different spatial interpolation methods yield different surfaces from the same data.
Syed Umair Shahid +2 more
doaj +1 more source
Derivation of SPH equations in a moving referential coordinate system [PDF]
, 2009 The conventional SPH method uses kernel interpolation to derive the spatial semi-discretisation of the governing equations. These equations, derived using a straight application of the kernel interpolation method, are not used in practice. Instead the
Campbell, James C. +3 more
core +1 more source
Spatial Interpolation contribution to noise maps uncertainty [PDF]
, 2010 Noise maps results are usually presented as contour graphs or isophone curves, which describe the sound levels as functions of spatial location. These maps are added to Geographic Information Systems (GIS), allowing sound level evaluation as a function
Asensio Rivera, César +4 more
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