Results 91 to 100 of about 440,783 (177)

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

open access: yesJournal 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

Metode Ordinary Indicator Kriging Menggunakan Semivariogram Anisotropy

open access: yes, 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   +1 more
core  

Pendekatan Interpolasi Spasial Ordinary Kriging Dan Robust Kriging Pada Data Pencilan (Studi Kasus Pada Data Curah Hujan Kabupaten Jember) [PDF]

open access: yes, 2017
Pada metode ordinary kriging jika terdapat memiliki data pencilan akan menghasilkan nilai prediksi yang kurang baik. Untuk mengatasi hal tersebut digunakan metode robust kriging yang dapat mengakomodir adanya pencilan.
Antono, Tri
core  

On Spatial Point Processes With Composition‐Valued Marks

open access: yesInternational Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt   +2 more
wiley   +1 more source

Considerations of Accuracy and Uncertainty with Kriging Surrogate Models in Single-Objective Electromagnetic Design Optimization

open access: yes, 2007
The high computational cost of evaluating objective functions in electromagnetic optimal design problems necessitates the use of cost-effective techniques.
Hawe, G., Sykulski, J.K.
core   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

open access: yesInternational Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri   +3 more
wiley   +1 more source

Remote sensing aided spatial prediction of forest stem volume [PDF]

open access: yes, 2003
Modern technology such as the Global Positioning System (GPS) and Geographical Information Systems (GIS) provide new opportunities for forest inventory.
Wallerman, Jörgen
core   +1 more source

A Reproducible Review of Selected Analytical Methods in the Geosciences with R Implementations Using Simulated Data

open access: yesGeosciences
The geosciences have witnessed a rapid expansion of analytical methods, from classical linear models to geostatistics and modern machine learning.
Khaled Haddad, Surendra Shrestha
doaj   +1 more source

Comparation to the Methods of Interpolation with ASTER GDEM V2 Based on ICESat/GLA14 Lvliang Mountains in Shanxi Province

open access: yesChemical Engineering Transactions, 2015
ICESat/GLA14, a series of altitude points with high accuracy, it can be used for ASTER GDEM data’s accuracy correction, while the rational interpolation method is the important guarantee for the quality of ASTER GDEM data correction results.
D.C. He   +4 more
doaj   +1 more source

Estimasi Kandungan Hasil Tambang Menggunakan Ordinary Indicator Kriging [PDF]

open access: yes, 2013
Kriging is a geostatistical analysis of the data used to estimate the value that represents a no sample point based sample point in the surrounding by considering the spatial correlation in the data.
Awali, A. A. (Aldila)   +2 more
core  

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