Results 11 to 20 of about 1,198,610 (285)

Valid model-free spatial prediction. [PDF]

open access: yesJ Am Stat Assoc, 2023
Predicting the response at an unobserved location is a fundamental problem in spatial statistics. Given the difficulty in modeling spatial dependence, especially in non-stationary cases, model-based prediction intervals are at risk of misspecification bias that can negatively affect their validity.
Mao H, Martin R, Reich BJ.
europepmc   +5 more sources

Enhanced predictive saccade strategies and spatial prediction accuracy in first-person shooter-specialized players [PDF]

open access: yesFrontiers in Systems Neuroscience
IntroductionPredictive gaze behavior is essential in fast-paced esport environments; however, the visuomotor and neural mechanisms supporting predictive saccades in competitive first-person shooter (FPS) players remain insufficiently understood.
Ryo Koshizawa   +4 more
doaj   +2 more sources

Spatial prediction based on Third Law of Geography

open access: yesAnnals of GIS, 2018
Current methods of spatial prediction are based on either the First Law of Geography or the statistical principle or the combination of these two. The Second Law of Geography contributes to the revision of these methods so they are adaptive to local ...
A‐Xing Zhu   +4 more
doaj   +3 more sources

Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 [PDF]

open access: yesGeoscientific Model Development, 2022
A new dynamical core, known as the Finite-Volume Cubed-Sphere (FV3) and developed at both NASA and NOAA, is used in NOAA's Global Forecast System (GFS) and in limited-area models for regional weather and air quality applications.
P. C. Campbell   +27 more
doaj   +1 more source

SPATIAL PREDICTION OF THE CONTENT OF CARBONATE MINERALS AND GYPSUM AND ITS RELATIONSHIP TO THE FORMATION OF HEAT ISLANDS USING THERMAL IMAGING [PDF]

open access: yesمجلة الأنبار للعلوم الزراعية, 2021
The study area was chosen to the south of a Haditha lake. It is located between longitudes 41º 42 '02 "and 42º 27 03" E, and between longitude 34º 02 24 "and 34º 32 08" N, Western desert region at borders of Al-Anbar Governorate in ...
S. Al-Juraysi, Q. Al-Obeidi
doaj   +1 more source

Improving the Spatial Prediction of Soil Organic Carbon Content Using Phenological Factors: A Case Study in the Middle and Upper Reaches of Heihe River Basin, China

open access: yesRemote Sensing, 2023
The accurate mapping of soil organic carbon (SOC) distribution is important for carbon sequestration and land management strategies, contributing to mitigating climate change and ensuring agricultural productivity.
Xinyu Liu, Jian Wang, Xiaodong Song
doaj   +1 more source

Spatial Interpolation Techniques to Map Rainfall in Southeast Brazil

open access: yesRevista Brasileira de Meteorologia, 2022
The prediction, as well as the estimation of precipitation, is one of the challenges of the scientific community in the world, due to the high spatial and seasonal variability of this meteorological element. For this purpose, methodologies that allow the
Lucas Eduardo de Oliveira Aparecido   +3 more
doaj   +1 more source

Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study

open access: yesISPRS International Journal of Geo-Information, 2022
Mapping of landslides, conducted in 2021 by the Geological Survey of Denmark and Greenland (GEUS), revealed 3202 landslides in Denmark, indicating that they might pose a bigger problem than previously acknowledged.
Angelina Ageenko   +4 more
doaj   +1 more source

Spatial prediction of physical and chemical properties of soil using optical satellite imagery: a state-of-the-art hybridization of deep learning algorithm

open access: yesFrontiers in Environmental Science, 2023
This research aimed to predict soil’s physical and chemical properties with a state-of-the-art hybrid model based on deep learning algorithms and optical satellite images in a region in the north of Iran.
Fatemeh Sadat Hosseini   +4 more
doaj   +1 more source

Mapping Rice Paddy Distribution Using Remote Sensing by Coupling Deep Learning with Phenological Characteristics

open access: yesRemote Sensing, 2021
Two main approaches are used in mapping rice paddy distribution from remote sensing images: phenological methods or machine learning methods. The phenological methods can map rice paddy distribution in a simple way but with limited accuracy.
A-Xing Zhu   +3 more
doaj   +1 more source

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