Results 131 to 140 of about 4,118 (206)

Estimating Functions for Semivariogram Estimation

, 1997
openaire   +2 more sources

Digital droplet PCR quantification and field-scale spatial distribution of <i>Plasmopara viticola</i> oospores in vineyard soil. [PDF]

Appl Environ Microbiol
Poeydebat C, Courchinoux E, Mazet ID, Rodriguez M, Chataigner A, Lelièvre M, Goutouly J-P, Rossi J-P, Raynal M, Delière L, Delmotte F.   +10 more
europepmc   +1 more source

Assessing Spatial Representativeness of Global Flux Tower Eddy-Covariance Measurements Using Data from FLUXNET2015. [PDF]

Sci Data
Fang J, Fang J, Chen B, Zhang H, Dilawar A, Guo M, Liu S.   +6 more
europepmc   +1 more source

Research on a coal seam modeling construction method based on improved kriging interpolation. [PDF]

Sci Rep
Zhang J, Liu G.
europepmc   +1 more source

A hierarchical framework for cropland and crop classification in the Qingtongxia irrigation district using support vector machine and random forest models. [PDF]

Sci Rep
Xu X, Wang W, He H, Zhang X.
europepmc   +1 more source

Dual Evaluation and Spatial Analysis of RF-EMF Exposure in 5G: Theoretical Extrapolations and Direct Measurements. [PDF]

Bioelectromagnetics
Najera A, Villaescusa-Tebar A, Gonzalez-Rubio J, Garcia-Pardo C.   +3 more
europepmc   +1 more source

Spatial Patterns of Adelges tsugae Annand (Hemiptera: Adelgidae) in Eastern Hemlock Stands: Implications for Sampling and Management. [PDF]

Insects
Baek S, Park YL.
europepmc   +1 more source

Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans. [PDF]

Heliyon
Sowrav SFF, Debsarma SK, Das MK, Ibtehal KM, Rahman M, Hridita NT, Broty AA, Hoque MSA.   +7 more
europepmc   +1 more source

Geospatial variation and machine learning approaches to predict open defecation practice in Zambia. [PDF]

PLoS One
Birlie AA, Meshesha NA, Tizie SB, Wondie SG, Teshome SG, Bedada TD, Muluneh AA, Eticha BL, Dube GN, Wodessa G, Mengistie MB.   +10 more
europepmc   +1 more source

Predictive modelling of Uranium (²³⁸U) and Thorium (²³²Th) in soils of Central India: integrating ICP-MS/MS, spectroscopic, and machine learning models. [PDF]

Sci Rep
Tagore GS, Sahu DK, Sharma YM, Srivastava S, Nema RK.   +4 more
europepmc   +1 more source