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Using Geostatistics and Geographic Information System Techniques to Characterize Spatial Variability of Soil Properties, Including Micronutrients

https://doi.org/10.1080/00103624.2012.758279
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00254-004-1025-0openalex-snapshot
Application of geostatistics and GIS technique to characterize spatial variabilities of bioavailable micronutrients in paddy soils
inferredcites →https://doi.org/10.1007/s11515-009-0054-1openalex-snapshot
Spatial heterogeneity of available zinc, copper, and manganese in Xiangcheng tobacco planting fields, Henan province, China
inferredcites →https://doi.org/10.1016/b978-0-12-473542-2.x5000-7openalex-snapshot
Mineral Nutrition of Higher Plants
inferredcites →https://doi.org/10.1016/j.geoderma.2004.01.016openalex-snapshot
Effect of organic wastes on the extractability of cadmium, copper, nickel, and zinc in soil
inferredcites →https://doi.org/10.1016/j.geoderma.2005.11.002openalex-snapshot
Kriging on highly skewed data for DTPA-extractable soil Zn with auxiliary information for pH and organic carbon
inferredcites →https://doi.org/10.1016/j.still.2008.10.015openalex-snapshot
Effects of soil compaction and arbuscular mycorrhiza on corn (Zea mays L.) nutrient uptake
inferredcites →https://doi.org/10.1016/j.still.2008.11.006openalex-snapshot
Effects of arbuscular mycorrhiza, soil sterilization, and soil compaction on wheat (Triticum aestivum L.) nutrients uptake
inferredcites →https://doi.org/10.1016/j.still.2009.12.001openalex-snapshot
Spatial variation of soil nutrients in a dairy farm and its implications for site-specific fertilizer application
inferredcites →https://doi.org/10.1016/s1002-0160(09)60170-3openalex-snapshot
Spatial Variability of Micronutrients in Rice Grain and Paddy Soil
inferredcites →https://doi.org/10.1080/00103624.2010.485473openalex-snapshot
Wheat Grain Nitrogen Uptake, as Affected by Soil Total and Mineral Nitrogen, for the Determination of Optimum Nitrogen Fertilizer Rates for Wheat Production
inferredcites →https://doi.org/10.1093/jxb/erh064openalex-snapshot
Breeding for micronutrients in staple food crops from a human nutrition perspective
inferredcites →https://doi.org/10.1111/j.1365-2389.1980.tb02084.xopenalex-snapshot
OPTIMAL INTERPOLATION AND ISARITHMIC MAPPING OF SOIL PROPERTIES
inferredcites →https://doi.org/10.1346/ccmn.1980.0280411openalex-snapshot
Chemical Equilibria in Soils, by Willard L. Lindsay. Wiley-Interscience, New York, 1979. 449 pp., Cloth, $25.00.
inferredcites →https://doi.org/10.2134/agronmonogr9.2.2ed.c10openalex-snapshot
Soluble Salts
inferredcites →https://doi.org/10.2134/agronmonogr9.2.2ed.c19openalex-snapshot
Nickel, Copper, Zinc, and Cadmium
inferredcites →https://doi.org/10.2134/agronmonogr9.2.2ed.c29openalex-snapshot
Total Carbon, Organic Carbon, and Organic Matter
inferredcites →https://doi.org/10.2136/sssaj1982.03615995004600050028xopenalex-snapshot
Geostatistical Analysis of Soil Chemical Properties of Large Land Areas. I. Semi‐variograms
inferredcites →https://doi.org/10.2136/sssaj1994.03615995005800050033xopenalex-snapshot
Field‐Scale Variability of Soil Properties in Central Iowa Soils
inferredcites →https://doi.org/10.2307/2285423openalex-snapshot
Biostatistical Analysis.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Quantifying the Contributions of Factors Influencing the Spatial Heterogeneity of Soil Aggregate Stability and Erodibility in a Mollisols Watershed
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Evaluation of spatial distribution and regional zone delineation for micronutrients in a semiarid Deccan Plateau Region of India
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Management zone delineation and spatial distribution of micronutrients in cold-arid region of India
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Spatial prediction of soil micronutrients using machine learning algorithms integrated with multiple digital covariates
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Geostatistical Assessment of Arsenic Variability and Dietary Exposure Risks in Nadia District, India
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SFM_MB Toolbox: a new ArcGIS toolbox for building spatial distribution maps of soil fertility using model builder in ArcMap of ArcGIS, a case study
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Geostatistical methods in evaluating spatial variability of groundwater quality in Al-Kharj Region, Saudi Arabia
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Fuzzy-Clustering Driven Soil Nutrients Management Zone Delineation in Mandarin (Citrus reticulata Blanco) Growing Areas of Malwa Plateau Region of India
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inferred← citeshttps://doi.org/10.1016/j.compag.2025.110905openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jksus.2023.102724openalex-snapshot
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Establishment of Soil Management Zones Using Multivariate Analysis and GIS
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Geostatistical analysis of soil mechanical properties in Ardabil plain of Iran
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Spatial heterogeneity of soil organic carbon and soil nutrients and their controlling factors in a small watershed in Northeast China
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Variability of Soil Micronutrients Concentration along the Slopes of Mount Kilimanjaro, Tanzania
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Soil phosphorus composition, loss risk and contribution to the aquatic environment in a typical agricultural area
inferred← citeshttps://doi.org/10.22194/jgias/10.1019openalex-snapshot
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Modeling the Spatial Variability of Soil Nutrients - A Case from Soil Health Card Project, India
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Geospatial variability of micronutrient distribution in the Northern Himalayan Terrain of Kashmir
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Spatial Variability of Soil Properties and Its Effect on Maize Yields within Field—A Case Study in Hungary
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inferred← citeshttps://doi.org/10.7287/peerj.6342v0.1/reviews/2openalex-snapshot
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inferred← citeshttps://doi.org/10.7287/peerj.6342v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj.6342v0.2/reviews/2openalex-snapshot
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Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China
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