Comparing Methods for Interpolation to Improve Raster Digital Elevation Models [PDF]
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.
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Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single and binary component solids [PDF]
A combination of systematic density functional theory (DFT) calculations and machine learning techniques has a wide range of potential applications.
Maekawa, Tomoya +3 more
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Spatial prediction and ordinary kriging [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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
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
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Evaluation and Comparison of Interpolation and Linear Regression Methods to Determine the Spatial Distribution of Precipitation in Chaharmahal and Bakhtiari Province, Iran [PDF]
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
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On daily interpolation of precipitation backed with secondary information [PDF]
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
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Sparsity-aware field estimation via ordinary Kriging
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
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Calculation of Probability Maps Directly from Ordinary Kriging Weights [PDF]
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]
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
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