Results 41 to 50 of about 543,708 (320)

Comparing Methods for Interpolation to Improve Raster Digital Elevation Models [PDF]

open access: yes, 2012
Digital elevation models (DEMs) are available as raster files at 100m, 30m, and 10m resolutions for the contiguous United States and are used in a variety of geographic analyses. Some projects may require a finer resolution.
Guarneri, J. C., Weih, R. C., Jr.
core   +3 more sources

Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single and binary component solids [PDF]

open access: yes, 2014
A combination of systematic density functional theory (DFT) calculations and machine learning techniques has a wide range of potential applications.
Maekawa, Tomoya   +3 more
core   +2 more sources

Spatial prediction and ordinary kriging [PDF]

open access: yesMathematical Geology, 1988
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

A Triangulated Irregular Network Constrained Ordinary Kriging Method for Three-Dimensional Modeling of Faulted Geological Surfaces

open access: yesIEEE Access, 2020
Three-dimensional (3D) modeling of geological surfaces, such as coal seams and strata horizons, from sparsely sampled data collected in the field, is a crucial task in geological modeling.
Qingren Jia, Wenwen Li, D. Che
semanticscholar   +1 more source

INTERPOLASI SPASIAL DENGAN METODE ORDINARY KRIGING MENGGUNAKAN SEMIVARIOGRAM ISOTROPIK PADA DATA SPASIAL (Studi Kasus: Curah Hujan di Kabupaten Karangasem)

open access: yesE-Jurnal Matematika, 2015
Spatial data is data that is presented in the geographic of an object, related to the location, shape and relationship of the earth in space. One of example of spatial data is rainfall. To determine the value of rainfall in an area, built to predict rain
PUTU MIRAH PURNAMA D.   +2 more
doaj   +1 more source

Evaluation and Comparison of Interpolation and Linear Regression Methods to Determine the Spatial Distribution of Precipitation in Chaharmahal and Bakhtiari Province, Iran [PDF]

open access: yesمحیط زیست و مهندسی آب, 2022
In the present study, simple and ordinary kriging methods, inverse distance and linear regression based on digital elevation model of the earth were evaluated for estimating annual rainfall using twenty-year statistics of precipitation data (1998-2018 ...
Farzaneh Fotouhi Firoozabad   +1 more
doaj   +1 more source

On daily interpolation of precipitation backed with secondary information [PDF]

open access: yes, 2010
This paper investigates the potential impact of secondary information on rainfall mapping applying Ordinary Kriging. Secondary information tested is a natural area indicator, which is a combination of topographic features and weather conditions.
Ahrens, Bodo, Krähenmann, Stefan
core   +2 more sources

Sparsity-aware field estimation via ordinary Kriging

open access: yes2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
In this paper, we consider the problem of estimating a spatially varying field in a wireless sensor network, where resource constraints limit the number of sensors selected in the network that provide their measurements for field estimation. Based on a one-to-one correspondence between the selected sensors and the nonzero elements of Kriging weights ...
Liu, Sijia   +3 more
openaire   +2 more sources

Calculation of Probability Maps Directly from Ordinary Kriging Weights [PDF]

open access: yesGeologia USP. Série Científica, 2010
Probability maps are useful to analyze ores or contaminants in soils and they are helpful to make a decision duringexploration work. These probability maps are usually derived from the indicator kriging approach.
Jorge Kazuo Yamamoto
doaj  

Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale [PDF]

open access: yes, 2014
Soil organic carbon (SOC) plays a major role in the global carbon budget. It can act as a source or a sink of atmospheric carbon, thereby possibly influencing the course of climate change.
Arrouays, D.   +8 more
core   +3 more sources

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