Results 21 to 30 of about 5,570 (187)

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

open access: yesВопросы 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   +4 more
doaj   +1 more source

MAPPING OF SOIL ORGANIC CARBON CONTENT AND STOCK AT THE REGIONAL AND LOCAL LEVELS: THE ANALYSIS OF MODERN METHODOLOGICAL APPROACHES [PDF]

open access: yesВопросы 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 regional and local levels.
N.V. Gopp   +4 more
doaj   +1 more source

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

open access: yesLand, 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   +9 more
doaj   +1 more source

A comparison of kriging with nonparametric regression methods

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

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

open access: yesWater, 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   +3 more
openaire   +1 more source

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

open access: yesEuropean 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]

open access: yesAnais 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   +7 more
doaj   +1 more source

An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height

open access: yesRemote Sensing, 2022
Forest canopy height is an essential parameter in estimating forest aboveground biomass (AGB), growing stock volume (GSV), and carbon storage, and it can provide necessary information in forest management activities.
Junpeng Zhao   +5 more
doaj   +1 more source

Simulation Optimization Through Regression or Kriging Metamodels [PDF]

open access: yesSSRN 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

Estimates of woody biomass and mixed effects improve isoscape predictions across a northern mixed forest

open access: yesFrontiers in Ecology and Evolution, 2023
Contemporary methods used to predict isotopic variation at regional scales have yet to include underlying distributions of the abundance of isotopic substrates.
John L. Berini   +6 more
doaj   +1 more source

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