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41 results for “spatial modeling”
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Research ArticleOpen accessEvery word in the titleHABITAT SUITABILITY MODELING FOR EXPLORATION OF THE SPATIAL DISTRIBUTION OF KASHMIR MUSK DEER IN DACHIGAM NATIONAL PARK, KASHMIRMudasir AliMusk deer are highly important as a medicinal species that are severely exploited throughout their range of occurrence due to the medicinal value of the musk produced only by the male individuals. Methods used for studying the populations and distributions of other ungulates do not work well with musk deer and the presence of a unified methodology for studying musk … …American Journal of Environmental Sciences, Vol. 10, Issue 5 · 20 Aug 2014 · 7,861 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpatial Analysis and Modeling the Nitrogen Flush after Rainfall Events at the Field Scale in SWATElizabeth Brooke Haney, Richard Lee Haney, Jeffrey George Arnold et al.Current nitrogen (N) models tend to neglect the contribution of the microbial population to the plant available N pool, resulting in an underestimation of yield and possible over or underestimation of N runoff from natural and agricultural landscapes. We used the measurement of microbial activity coupled with the measurement of their food source, water extractable nitrogen (N) and carbon (C), … …American Journal of Environmental Sciences, Vol. 12, Issue 2 · 11 Apr 2016 · 7,228 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSpatial Distribution and Evaluation of Heavy Metal Pollution in Soil Based on Three-Dimensional Model and Kriging InterpolationBaoshun Liu, Yonghong Zhang, Jun Yao, Jian SuSoil heavy metal pollution is an important content for soil environmental governance. Based on the three-Dimensional (3D) geological modeling technology and ordinary Kriging method, this study described and analyzed the soil pollution status and spatial distribution characteristics of a site in Zhongshan, Guangxi. The results showed that combining 3D geological model and the Kriging interpolation method can well evaluate soil … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 10 Jun 2022 · 6,144 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDetermining Potential Sites for Runoff Water Harvesting using Remote Sensing and Geographic Information Systems-Based Modeling in SinaiHossam H. Elewa, Atef A. Qaddah, Ayman A. El-FeelProblem statement: Sinai is increasingly suffering from an overwhelming water crisis. Runoff Water Harvesting (RWH) could be a solution for this problem. The determined promising drainage basins for RWH could be used by the decision makers to propose appropriate controlling systems to overcome the problem of water scarcity and for implementing runoff farming and rain-fed agriculture. Approach: Remote sensing, geographic … …American Journal of Environmental Sciences, Vol. 8, Issue 1 · 15 Feb 2012 · 8,483 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplication of MultiScale Hidden Markov Modeling Wavelet Coefficients to fMRI Activation DetectionFangyuan Nan, Yaonan Wang, Xiaoping MaProblem Statement: The problem of detection of functional magnetic resonance images (fMRIs), that is, to decide active and nonactive regions of human brain from fMRIs is studied in this paper. fMRI research is finding and will find more and more applications in diagnosing and treating brain diseases like depression and schizophrenia. At its initial stage fMRI detection are pixel-wise methods, … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,546 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMathematical Genesis of the Spatio-Temporal Covariance FunctionsGema Fernández-Avilés, Jose-María Montero, Jorge MateuProblem statement: Obtaining new and flexible classes of nonseparable spatio-temporal covariances have resulted in a key point of research in the last years within the context of spatiotemporal Geostatistics. Approach: In general, the literature has focused on the problem of full symmetry and the problem of anisotropy has been overcome. Results: By exploring mathematical properties of positive definite functions and … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 31 Jan 2011 · 7,938 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparison of Spatio-Temporal Bayesian Models for Reconstruction of Rainfall Fields in a Cloud Seeding ExperimentSujit k. sahu, Giovanna Jona Lasinio, Arianna orasi, Kanti V. MardiaIn response to the drought experienced in Southern Italy a rain seeding project has been setup and developed during the years 1989-1994. The initiative was taken with the purpose of applying existing methods of rain enhancement technology to regions of south Italy including Puglia. The aim of this study is to provide statistical support for the evaluation of the experimental … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,810 accessesView PDFCite
Review ArticleOpen accessIn the abstractCriniviruses at the Crossroads of Virology and Agroecology: Molecular Dialogues, Vector Synchrony, and Translational Control Strategies in Crop SystemsMd. Abdullah Al Sabbir, Nabela Akter, Ankita Saha, Md. Motaher HossainCriniviruses, members of the Closteroviridae, illustrate how molecular evolution, vector ecology, and climatic variability converge to determine plant virus emergence and persistence. Although individual genomic and transmission traits are well studied, their cross-scale integration has remained limited. Recent advances in comparative genomics and high-throughput sequencing have revealed that bipartite genome reassortment, recombination hotspots, and quasi-species microdiversity provide the genetic flexibility … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 22 Sep 2026 · 469 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite