Results 21 to 30 of about 5,604 (198)

Utilisation of Intrinsic and Extrinsic Soil Information to Derive Soil Nutrient Management Zones for Banana Production in a Smallholder Farm

Land, 2023
In South Africa (SA), smallholder farmers contribute significantly to food production and play an essential role in the nation’s food and nutritional security.
Seome Michael Swafo, Phesheya Eugine Dlamini   +1 more
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, Milan Kilibarda, Gerard B.M. Heuvelink, Mladen Nikolić, Branislav Bajat   +4 more
doaj   +1 more source

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

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, M. Mousavi Baygi, M. Bannayan Awal   +2 more
doaj   +1 more source

MAPPING OF SOIL ORGANIC CARBON CONTENT AND STOCKS AT THE REGIONAL AND LOCAL LEVELS: THE ANALYSIS OF MODERN METHODOLOGICAL APPROACHES

Вопросы лесной науки, 2023
This paper provides an overview of scientific publications in Russia and other countries devoted to the soil organic carbon (SOC) content and stocks mapping at the regional and local levels. The analysis showed that the cartographic assessment of the SOC
N. V. Gopp, J. L. Meshalkina, A. N. Narykova, A. S. Plotnikova, O. V. Chernova   +4 more
doaj   +1 more source

A comparison of kriging with nonparametric regression methods

Journal of Multivariate Analysis, 1985
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yakowitz, S.J., Szidarovszky, F.
openaire   +2 more sources

Comparison of Random Forest and Kriging Models for Soil Organic Carbon Mapping in the Himalayan Region of Kashmir

Land, 2022
The knowledge about the spatial distribution of soil organic carbon stock (SOCS) helps in sustainable land-use management and ecosystem functioning. No such study has been attempted in the complex topography and land use of Himalayas, which is associated
Iqra Farooq, Shabir Ahmed Bangroo, Owais Bashir, Tajamul Islam Shah, Ajaz A. Malik, Asif M. Iqbal, Syed Sheraz Mahdi, Owais Ali Wani, Nageena Nazir, Asim Biswas   +9 more
doaj   +1 more source

Estimating Loess Plateau Average Annual Precipitation with Multiple Linear Regression Kriging and Geographically Weighted Regression Kriging [PDF]

Water, 2016
Estimating the spatial distribution of precipitation is an important and challenging task in hydrology, climatology, ecology, and environmental science. In order to generate a highly accurate distribution map of average annual precipitation for the Loess Plateau in China, multiple linear regression Kriging (MLRK) and geographically weighted regression ...
Qiutong Jin, Jutao Zhang, Mingchang Shi, Jixia Huang   +3 more
openaire   +1 more source

Regression and Kriging metamodels with their experimental designs in simulation: A review [PDF]

European Journal of Operational Research, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +5 more sources

Spatial distribution of wood volume in Brazilian savannas [PDF]

Anais da Academia Brasileira de Ciências, 2019
: Here we model and describe the wood volume of Cerrado Sensu Stricto, a highly heterogeneous vegetation type in the Savanna biome, in the state of Minas Gerais, Brazil, integrating forest inventory data with spatial-environmental variables, multivariate
EDUARDA M.O. SILVEIRA, ALINY A. DOS REIS, MARCELA C.N.S. TERRA, KIERAN D. WITHEY, JOSÉ M. DE MELLO, FAUSTO W. ACERBI-JÚNIOR, ANTONIO CARLOS FERRAZ FILHO, CARLOS R. MELLO   +7 more
doaj   +1 more source

Simulation Optimization Through Regression or Kriging Metamodels [PDF]

SSRN Electronic Journal, 2017
This chapter surveys two methods for the optimization of real-world systems that are modelled through simulation. These methods use either linear regression metamodels, or Kriging (Gaussian processes). The metamodel type guides the design of the experiment; this design …fixes the input combinations of the simulation model.
openaire   +2 more sources