Works about GEOLOGICAL statistics
Results: 2776
Comparison of Trivariate Copula-Based Conditional Quantile Regression Versus Machine Learning Methods for Estimating Copper Recovery.
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- Mathematics (2227-7390), 2025, v. 13, n. 4, p. 576, doi. 10.3390/math13040576
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Beware of Bear? Long-Term Spatio-Temporal Patterns of Human–Bear Conflict in Connecticut.
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- Environmental Management, 2025, v. 75, n. 3, p. 638, doi. 10.1007/s00267-024-02094-x
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IPHEN-a real-time network for phenological monitoring and modelling in Italy.
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- International Journal of Biometeorology, 2013, v. 57, n. 6, p. 881, doi. 10.1007/s00484-012-0615-x
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Spatial structure of the abiotic environment and its association with sapling community structure and dynamics in a cloud forest.
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- International Journal of Biometeorology, 2012, v. 56, n. 2, p. 305, doi. 10.1007/s00484-011-0434-5
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Comparison of different wind data interpolation methods for a region with complex terrain in Central Asia.
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- Climate Dynamics, 2018, v. 51, n. 9/10, p. 3635, doi. 10.1007/s00382-018-4101-y
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Rockburst prediction for hard rock and deep-lying long tunnels based on the entropy weight ideal point method and geostress field inversion: a case study of the Sangzhuling Tunnel.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 5, p. 3885, doi. 10.1007/s10064-021-02175-9
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Geostatistics-block-based characterization of heterogeneous rock mass and its application on ultimate pit limit optimization: a case study.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 2, p. 1683, doi. 10.1007/s10064-020-02023-2
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Geostatistical analyses of exfoliation and tectonic joint set spacing in alpine granites (Aar Valley, Switzerland).
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- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 3, p. 1645, doi. 10.1007/s10064-018-1251-4
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Geostatistical modeling of uniaxial compressive strength along the axis of the Behesht-Abad tunnel in Central Iran.
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- Bulletin of Engineering Geology & the Environment, 2015, v. 74, n. 3, p. 789, doi. 10.1007/s10064-014-0663-z
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Contrasting geographical patterns of ancient and modern genetic lineages in Mediterranean Abies species.
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- Plant Systematics & Evolution, 2010, v. 284, n. 3/4, p. 141, doi. 10.1007/s00606-009-0247-8
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An approach based on Machine Learning Algorithms, Geostatistical Technique, and GIS analysis to estimate phosphate ore grade at the Abu Tartur Mine, Western Desert, Egypt.
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- Mining of Mineral Deposits, 2023, v. 17, n. 1, p. 108, doi. 10.33271/mining17.01.108
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Menemen Ovası Entisol Topraklarının Verimlilik Durumlarının Belirlenmesi ve Haritalarının Oluşturulması.
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- Anadolu (1300-0225), 2022, v. 32, n. 2, p. 143, doi. 10.18615/anadolu.1223378
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Fine scale population density data and its application in risk assessment.
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- Journal of the Association for Information Systems, 2017, v. 18, n. 11, p. 1440, doi. 10.1080/19475705.2017.1345792
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High-Dimensional Bayesian Geostatistics.
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- Bayesian Analysis, 2017, v. 12, n. 2, p. 583, doi. 10.1214/17-BA1056R
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Spatial Analysis of Yield Gaps Variability of Black Gram Based on GIS and Geostatistics.
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- International Journal of Environmental & Rural Development, 2021, v. 12, n. 2, p. 77
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Spatial Variability and Mapping of Soil Properties Using GISBased Geostatistic in Myanmar.
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- International Journal of Environmental & Rural Development, 2021, v. 12, n. 1, p. 15
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西北旱区甘草深色有隔内生真菌物种多样性及空间分布.
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- Mycosystema, 2020, v. 39, n. 8, p. 1487, doi. 10.13346/j.mycosystema.200089
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Comparison of stochastic and deterministic methods for mapping groundwater level spatial variability in sparsely monitored basins.
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- Environmental Monitoring & Assessment, 2013, v. 185, n. 1, p. 1, doi. 10.1007/s10661-012-2527-y
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Land degradation assessment by geo-spatially modeling different soil erodibility equations in a semi-arid catchment.
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- Environmental Monitoring & Assessment, 2011, v. 180, n. 1-4, p. 201, doi. 10.1007/s10661-010-1782-z
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Estimation of nested spatial patterns and seasonal variation in the longitudinal distribution of Sicyopterus japonicus in the Datuan Stream, Taiwan by using geostatistical methods.
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- Environmental Monitoring & Assessment, 2011, v. 178, n. 1-4, p. 1, doi. 10.1007/s10661-010-1666-2
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Heavy metals assessment and identification of their sources in agricultural soils of Southern Tehran, Iran.
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- Environmental Monitoring & Assessment, 2011, v. 176, n. 1-4, p. 677, doi. 10.1007/s10661-010-1612-3
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Groundwater depth and elevation interpolation by kriging methods in Mohr Basin of Fars province in Iran.
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- Environmental Monitoring & Assessment, 2010, v. 166, n. 1-4, p. 387, doi. 10.1007/s10661-009-1010-x
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Evaluating the effectiveness of routine water quality monitoring in Miyun reservoir based on geostatistical analysis.
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- Environmental Monitoring & Assessment, 2010, v. 160, n. 1-4, p. 465, doi. 10.1007/s10661-008-0711-x
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Risk assessment and distribution of soil Pb in Guangdong, China.
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- Environmental Monitoring & Assessment, 2009, v. 159, n. 1-4, p. 381, doi. 10.1007/s10661-008-0636-4
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Spatial variability of soil heavy metals in the three gorges area: multivariate and geostatistical analyses.
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- Environmental Monitoring & Assessment, 2009, v. 157, n. 1-4, p. 63, doi. 10.1007/s10661-008-0515-z
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Staggered nested designs to assess scales of variability: the advantages of a spatially explicit analysis.
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- Environmental Monitoring & Assessment, 2009, v. 153, n. 1-4, p. 427, doi. 10.1007/s10661-008-0368-5
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Mapping and assessing spatial multiscale variations of birds associated with urban environments in metropolitan Taipei, Taiwan.
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- Environmental Monitoring & Assessment, 2008, v. 145, n. 1-3, p. 209, doi. 10.1007/s10661-007-0030-7
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Optimal extension of the rain gauge monitoring network of the Apulian Regional Consortium for Crop Protection.
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- Environmental Monitoring & Assessment, 2008, v. 145, n. 1-3, p. 375, doi. 10.1007/s10661-007-0046-z
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Application and evaluation of kriging and cokriging methods on groundwater depth mapping.
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- Environmental Monitoring & Assessment, 2008, v. 138, n. 1-3, p. 357, doi. 10.1007/s10661-007-9803-2
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Using decision trees to predict benthic communities within and near the German Exclusive Economic Zone (EEZ) of the North Sea.
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- Environmental Monitoring & Assessment, 2008, v. 136, n. 1-3, p. 313, doi. 10.1007/s10661-007-9687-1
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Geostatistical Analysis of Spatial and Temporal Variations of Groundwater Level.
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- Environmental Monitoring & Assessment, 2007, v. 129, n. 1-3, p. 277, doi. 10.1007/s10661-006-9361-z
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Evaluating Kriging as a Tool to Improve Moderate Resolution Maps of Forest Biomass.
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- Environmental Monitoring & Assessment, 2007, v. 128, n. 1-3, p. 395, doi. 10.1007/s10661-006-9322-6
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Spatial variability of salinity and alkalinity of a field having salination risk in semi-arid climate in northern Turkey.
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- Environmental Monitoring & Assessment, 2007, v. 127, n. 1-3, p. 55, doi. 10.1007/s10661-006-9258-x
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Spatial Variability of Soil Organic Carbon in Relation to Environmental Factors of a Typical Small Watershed in the Black Soil Region, Northeast China.
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- Environmental Monitoring & Assessment, 2006, v. 121, n. 1-3, p. 595, doi. 10.1007/s10661-005-9158-5
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Patterns of Spatial Autocorrelation in Stream Water Chemistry.
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- Environmental Monitoring & Assessment, 2006, v. 121, n. 1-3, p. 569, doi. 10.1007/s10661-005-9156-7
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Predicting Water Quality Impaired Stream Segments using Landscape-Scale Data and a Regional Geostatistical Model: A Case Study in Maryland.
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- Environmental Monitoring & Assessment, 2006, v. 121, n. 1-3, p. 613, doi. 10.1007/s10661-005-9163-8
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Geostatistical Analysis of data on AIR Temperature and Plant Phenology From Baden-Württemberg (GERMANY) as a Basis for Regional Scaled Models of Climate Change.
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- Environmental Monitoring & Assessment, 2006, v. 120, n. 1-3, p. 27, doi. 10.1007/s10661-005-9047-y
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Identifying and closing gaps in environmental monitoring by means of metadata, ecological regionalization and geostatistics using the UNESCO biosphere reserve rhoen (Germany) as an example.
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- Environmental Monitoring & Assessment, 2006, v. 114, n. 1-3, p. 461, doi. 10.1007/s10661-006-4934-4
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Sampling of Sparse Species with Probability Proportional to Prediction.
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- Environmental Monitoring & Assessment, 2005, v. 104, n. 1-3, p. 131, doi. 10.1007/s10661-005-1599-3
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STATISTICAL AND GEOSTATISTICAL MODELLING OF PRELIMINARILY ADJUSTED DEFOLIATION ON AN EUROPEAN SCALE.
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- Environmental Monitoring & Assessment, 2005, v. 101, n. 1-3, p. 233, doi. 10.1007/s10661-005-9304-0
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Comparison of Ordinary and Lognormal Kriging on Skewed Data of Total Cadmium in Forest Soils of Sweden.
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- Environmental Monitoring & Assessment, 2003, v. 84, n. 3, p. 243, doi. 10.1023/A:1023326314184
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Geostatistical Analysis as Applied to Two Environmental Radiometric Time Series.
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- Environmental Monitoring & Assessment, 2003, v. 83, n. 1, p. 1, doi. 10.1023/A:1022429118934
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Mapping soil organic matter and identifying potential controls in the farmland of Southern China: Integration of multi‐source data, machine learning and geostatistics.
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- Land Degradation & Development, 2023, v. 34, n. 17, p. 5468, doi. 10.1002/ldr.4858
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Integrated spatial assessment of inland excess water hazard on the Great Hungarian Plain.
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- Land Degradation & Development, 2018, v. 29, n. 12, p. 4373, doi. 10.1002/ldr.3187
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SPATIAL VARIABILITY OF SOIL PHYSICAL PROPERTIES IN A REGION OF THE LOESS PLATEAU OF PR CHINA SUBJECT TO WIND AND WATER EROSION.
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- Land Degradation & Development, 2013, v. 24, n. 3, p. 296, doi. 10.1002/ldr.1128
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Characterizing soil surface structure in a temperate tree-based intercropping system using X-ray computed tomography.
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- Agroforestry Systems, 2014, v. 88, n. 4, p. 645, doi. 10.1007/s10457-014-9699-0
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Soil water competition in a temperate hedgerow agroforestry system in South Africa.
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- Agroforestry Systems, 2009, v. 75, n. 3, p. 211, doi. 10.1007/s10457-008-9174-x
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JEOİSTATİSTİK VE COĞRAFİ BİLGİ SİSTEM (CBS) TEKNİKLERİ KULLANILARAK ERZİN OVASI (HATAY) TOPRAKLARININ BAZI BESİN ELEMENT İÇERİKLERİNİN YERSEL DEĞİŞİMLERİNİN HARİTALANMASI.
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- SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi, 2023, v. 11, n. 4, p. 1439, doi. 10.21923/jesd.1302358
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Spatial heterogeneity of soil properties in planted mixed forests in the rocky desertification areas of the Wuling Mountain.
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- PeerJ, 2024, p. 1, doi. 10.7717/peerj.18724
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Some methods to improve the utility of conditioned Latin hypercube sampling.
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- PeerJ, 2019, p. 1, doi. 10.7717/peerj.6451
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