Results 91 to 100 of about 7,767 (249)

Spatial distribution patterns of SOM estimated by ordinary kriging.

, 2015
Spatial distribution patterns of SOM estimated by ordinary kriging.
Zeyu Ma (689881), Jianmei Zou (689879), Shengxuan Gong (689880), Wei Dai (95957)   +3 more
core   +1 more source

Environmental drivers influencing the ambrosia beetle community: The primary role of geographic and climatic drivers in chestnut‐growing areas

Agricultural and Forest Entomology, EarlyView.
Ethanol‐baited traps were placed in cultivated chestnut orchards (a) and mixed environments with assorted tree composition (b), over a 2‐year monitoring period in two valleys (NW Italy). A total of 118,286 ambrosia beetles was collected, representing six species.
Eleonora Vittoria Fontana, Chiara Ferracini   +1 more
wiley   +1 more source

Integrating Core Porosity and Well Logging Interpretations for Multivariate Permeability Modeling through Ordinary Kriging and Co-Kriging Algorithms

, 2018
Estimation of core permeability as a function of well logging records is a pivotal task in reservoir characterization as it is affected by data sparseness, distinct scales, various sources, and lithology structures.
Watheq J. Al-Mudhafar
core   +1 more source

Metode Ordinary Point Kriging dan Penerapannya untuk Mengestimasi Curah Hujan di Kabupaten Banyumas [PDF]

, 2020
Pada penelitian ini dikaji tentang metode kriging yang paling sederhana, yaitu metode ordinary point kriging, dan terapannya untuk mengestimasi curah hujan di Kabupaten Banyumas.
MAWADDAH, Laila Ziadatu
core  

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, EarlyView.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

Metode Ordinary Indicator Kriging Menggunakan Semivariogram Anisotropy

, 2016
Kriging adalah suatu metode geostatistika yang memanfaatkan nilai spasial pada lokasi tersampel dan variogram untuk memprediksi nilai pada lokasi lain yang belum dan/atau tidak tersampel dimana nilai prediksi tersebut tergantung pada kedekatannya ...
Amawati, Denisia Gani, Amawati, DenisiaGani   +1 more
core  

Using Ordinary Kriging to Model Radioactive Contamination Data

, 2016
This paper deals with an application of ordinary kriging (OK) for spatial interpolation of data in a completely automatic (one-click mapping) manner. The important set of kriging parameters (semivariogram model, search strategy, etc.) were tuned based on
Savelieva, Elena (3206007)
core   +1 more source

Reconnaissance‐Scale Methods for the Identification of Groundwater Discharge to Streams

Groundwater Monitoring &Remediation, EarlyView.
Abstract Identifying groundwater discharge locations is critical for understanding and monitoring groundwater contributions to streams in terms of water quantity and quality. Streams and rivers are under increasing strain from factors, including increased urbanization, agricultural land use, groundwater extraction, and climate change, which can alter ...
Corey M. Zanatta, Andrew J. Wiebe, David L. Rudolph   +2 more
wiley   +1 more source

Subsurface Geological Profile Interpolation Using a Fractional Kriging Method Enhanced by Random Forest Regression

Fractal and Fractional
Analyzing geological profiles is of great importance for various applications such as natural resource management, environmental assessment, and mining engineering projects.
Qile Ding, Yiren Wang, Yu Zheng, Fengyang Wang, Shudong Zhou, Donghui Pan, Yuchun Xiong, Yi Zhang   +7 more
doaj   +1 more source

Geospatial tools effectively estimate nonexceedance probabilities of daily streamflow at ungauged and intermittently gauged locations in Ohio

Journal of Hydrology: Regional Studies, 2017
Study region: The state of Ohio in the United States, a humid, continental climate. Study focus: The estimation of nonexceedance probabilities of daily streamflows as an alternative means of establishing the relative magnitudes of streamflows associated ...
William H. Farmer, G.F. Koltun
doaj   +1 more source