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Modelación de la distribución espacial de la precipitación en el valle de la Ciudad de México usando técnicas geoestadísticas Colegio de Postgraduados
Méndez Venegas, Javier.
La mayor parte de la precipitación en la Ciudad de México es producida por tormentas convectivas, caracterizadas por una alta variabilidad espacial, lo cual implica un alto grado de complejidad en la modelación de su comportamiento. La precipitación es uno de los factores principales del ciclo hidrológico y el conocimiento de su distribución espacial es fundamental para la predicción de otras variables ambientales íntimamente relacionadas como son: el escurrimiento, las inundaciones, la recarga de los acuíferos, etc. En la presente tesis se propone la aplicación de técnicas geoestadísticas para modelar la distribución espacial de la precipitación en el caso de tormentas convectivas. Con este fin se aplican los procedimientos geoestadísticos de estimación...
Tipo: Tesis Palavras-chave: Geoestadística; Distribución espacial de la precipitación; Kriging; Cokriging; Modelo de corregionalización lineal; Simulación Secuencial Gaussiana; Maestría; Estadística; Geostatistics; Rainfall spatial distribution; Kriging; Cokriging; Linear coregionalization model; Sequential Gaussian Simulation.
Ano: 2008 URL: http://hdl.handle.net/10521/1640
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SPATIAL VARIABILITY OF SOIL RESISTANCE TO PENETRATION IN NO TILLAGE SYSTEM REA
Cortez,Jorge W.; Matos,Wéliton P. da S.; Arcoverde,Sálvio N. S.; Cavassini,Victor H.; Valente,Igor Q. M..
ABSTRACT In areas of no tillage system where there is intense traffic of machines and minimal soil mobilization, the periodic monitoring allied on localized soil compaction represent important strategies aiming agricultural sustainability. Thus, the objective of this study was to evaluate the spatial variability of soil resistance to penetration (RP) in no tillage system. Data collection took place in an experimental area of 7.65 ha using a sample grid composed of 40 points. At each point the RP was determined by three replications from which was obtained the mean RP, the maximum RP, and the depth of the maximum RP in the 0-0.40m layer. Deformed samples were randomly collected in the area to determine the water content in the soil (θ). Then the RP data...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil compaction; Agricultural mechanization; Geostatistics.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000500697
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Spatial variability of leaf nutrient contents in a drip irrigated citrus orchard REA
Armindo,Robson A.; Coelho,Rubens D.; Teixeira,Marconi B.; Ribeiro Junior,Paulo J..
This study aimed to evaluate the spatial variability of leaf content of macro and micronutrients. The citrus plants orchard with 5 years of age, planted at regular intervals of 8 x 7 m, was managed under drip irrigation. Leaf samples were collected from each plant to be analyzed in the laboratory. Data were analyzed using the software R, version 2.5.1 Copyright (C) 2007, along with geostatistics package GeoR. All contents of macro and micronutrients studied were adjusted to normal distribution and showed spatial dependence.The best-fit models, based on the likelihood, for the macro and micronutrients were the spherical and matern. It is suggest for the macronutrients nitrogen, phosphorus, potassium, calcium, magnesium and sulfur the minimum distances...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Citrus latifolia Tan.; Macronutrients; Micronutrients; Geostatistics.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000300007
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Methodology for spatialization of intense rainfall equation parameters REA
Xavier,Alexandre C.; Cecílio,Roberto A.; Pruski,Fernando F.; Lima,Julião S. de S..
The aim of this study was to generate maps of intense rainfall equation parameters using interpolated maximum intense rainfall data. The study area comprised Espírito Santo State, Brazil. A total of 59 intense rainfall equations were used to interpolate maximum intense rainfall, with a 1 x 1 km spatial resolution. Maximum intense rainfall was interpolated considering recurrence of 2; 5; 10; 20; 50 and 100 years, and duration of 10; 20; 30; 40; 50; 60; 120; 240; 360; 420; 660; 720; 900; 1,140; 1,380 and 1,440 minutes, resulting in 96 maps of maximum intense rainfall. The used interpolators were inverse distance weighting and ordinary kriging, for which significance level (p-value) and coefficient of determination (R²) were evaluated for the cross-validation...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Intensity-duration-frequency equation; Geostatistics; Hydrology.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000300012
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SPATIAL AUTOCORRELATION OF PHYSICAL ATTRIBUTES OF AN OXISOL REA
Oliveira,Job T. de; Oliveira,Rubens A. de; Cunha,Fernando F. da; Santos,Eduardo S. dos.
ABSTRACT Studies that seek to identify a smaller number of soil attributes that represent others can generate less expenditure of time and financial resources for monitoring cultivated areas. Thus, this study aimed to analyze the spatial distribution and spatial autocorrelation of physical attributes of an Oxisol (Latossolo Vermelho Amarelo, Brazilian Soil Classification System). The evaluated attributes consisted of soil density (SD), total porosity (TP), free porosity (FP), field capacity (FC), permanent wilt point (PW), and total water availability (TW). Semivariogram adjustments and semivariance estimates were performed to characterize the structure and magnitude of the spatial dependence of soil attributes. The attributes were distributed on thematic...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Spatial dependence; Geostatistics; Moran index.
Ano: 2021 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000200255
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Effects of vinasse application under the physical attributes of soil covered with sugarcane straw REA
Costa,Cicero da S.; Pedrosa,Elvira M. R.; Rolim,Mario M.; Santos,Hugo R. B.; Cordeiro Neto,Aluízio T..
Areas under vinasse application have been associated to favorable physical conditions for root development, aeration, infiltration and water movement in soil profile. This study aimed to evaluate changes on physical attributes of soil under sugarcane straw after vinasse application in two sugarcane growing areas (Area 1 and Area 2) under mechanized management in the state of Paraíba, Brazil. In each area, the samples were collected in the 0-0.20, 0.20-0.40 and 0.40-0.60m layers of the soil, in 36 points, distributed in a 10×10m mesh, one day before and 40 days after vinasse application. The data were submitted to multivariate analysis with repeated measures and geostatistics. The vinasse application decreased soil density and increased total porosity in...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Residue use; Saccharum; Geostatistics; Soil moisture; Soil density.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000400005
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EFFECTS OF SIZE AND SAMPLING GRID ON THE QUALITY OF APPARENT SOIL ELECTRICAL CONDUCTIVITY MAPS REA
Oldoni,Henrique; Costa,Bruno R. S.; Rocha Junior,Romero C.; Rabello,Ladislau M.; Bassoi,Luís H..
ABSTRACT The apparent soil electrical conductivity (ECa) is an attribute commonly used for the characterization of the spatial variability of soil, but its determination by handheld sensors consumes considerable time and labor. The reduction in the number of sampling points allows minimize them but can result in increased uncertainty of interpolated maps. Thus, the goal of this study was to identify the best spacing and number of ECa measurements, to guarantee the quality of maps generated in three vineyards. The ECa values were obtained using a handheld sensor in different sampling grids. The data were submitted to descriptive statistical and geostatistical analyses. The relative deviation and Kappa coefficient of agreement were used to assess the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Spatial variability; Geostatistics; Agricultural instrumentation.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000800001
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SPATIAL DEPENDENCE DEGREE AND SAMPLING NEIGHBORHOOD INFLUENCE ON INTERPOLATION PROCESS FOR FERTILIZER PRESCRIPTION MAPS REA
Amaral,Lucas R. do; Justina,Diego D. Della.
ABSTRACT Data interpolation is widely required in precision agriculture. However, its effectiveness is a function of the characteristics of the dataset, being necessary for the evaluation of several parameters. This study aimed to identify how the spatial interpolators, Kriging, and Inverse Distance Weighting, are influenced by the degree of spatial dependence of the variables analyzed and the number of neighbors considered in the interpolation process (sampling neighborhood). Soil samples were collected from three sugarcane fields. By the optimization process, we verified that the sampling neighborhood influences the accuracy of interpolations, but there is not a standard recommendation to follow. Thus, the best sampling neighborhood must ever be...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Data interpolation; Soil sampling; Geostatistics; Site-specific management.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000800085
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MANAGEMENT SYSTEMS: SOIL COVER AND COMPACTION, LONGITUDINAL DISTRIBUTION, AND YIELD OF SOYBEAN CROP REA
Cortez,Jorge W.; Pusch,Maiara; Silva,Rouverson P. da; Rufino,Mauricio V.; Anghinoni,Matheus.
ABSTRACT The way the soil is managed can influence its structuring and, consequently, crop yield. Thus, this study aimed to evaluate the effect caused by the management systems plowing followed by two intermediate harrowing operations, intermediate harrowing, chiseling, chiseling followed by intermediate harrowing, cross chiseling followed by intermediate harrowing, and non-tillage on soil and agronomic attributes of the soybean crop. A randomized block design with four replications was used. The percentage of soil cover, soil resistance to penetration, number of plants per meter, longitudinal distribution of seedlings, and soybean yield were evaluated. The data were submitted to analysis of variance by the Tukey test at 5% probability, and use of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Resistance to penetration; Geostatistics; Soil tillage.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000400490
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Terrain forms and spatial variability of soil properties in an area cultivatedwith citrus REA
Leão,Marisol G. A. de; Marques Júnior,José; Souza,Zigomar M. de; Siqueira,Diego S.; Pereira,Gener T..
The technique of precision agriculture and soil-landscape allows delimiting areas for localized management, allowing a localized application of agricultural inputs and thereby may contribute to preservation of natural resources. Therefore, the objective of this work was to characterize the spatial variability of chemical properties and clay content in the context of soil-landscape relationship in a Latosol (Oxisol) under cultivation of citrus. Soil samples were collected at a depth of 0.0-0.2 m in an area of 83.5 ha planted with citrus, as a 50-m intervals grid, with 129 points in concave terrain and 206 points in flat terrain, totaling 335 points. Values for the variables that express the chemical characteristics and clay content of soil properties were...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Geostatistics; Management zone; Oxisol; Orange.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000400003
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SPATIAL VARIABILITY OF SOYBEAN YIELD THROUGH A REPARAMETERIZED T-STUDENT MODEL REA
Schemmer,Rosangela C.; Uribe-Opazo,Miguel A.; Galea,Manuel; Assumpção,Rosangela A. B..
ABSTRACT: The t-Student distribution has been used to the spatial dependence modelling of soybean yield as an alternative to the normal distribution, being used for data with heavier tails or discrepant values. However, a usual Student t-distribution does not allow direct comparisons of geostatistical methods with a normal distribution. The aim of this study was to assess the soybean yield spatial variability through a reparameterized t-Student linear model, comparing the results with those of a Gaussian linear model. For parameter estimation, a complete maximum likelihood (CML) method was used through an expectation-maximization (EM) algorithm. The maps constructed with both reparameterized t-Student and normal distributions are dissimilar and present a...
Tipo: Info:eu-repo/semantics/article Palavras-chave: EM algorithm; Spatial dependence; Geostatistics; Complete maximum likelihood.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000400760
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Zoning of environmental conditions inside a wean-to-finish pig facility REA
Massari,Juliana M.; Moura,Daniella J. de; Curi,Thayla M. R. de C.; Vercellino,Rimena do A.; Medeiros,Brenda B. L..
ABSTRACT Using geostatistics, this study aimed to analyze environmental conditions for wean-to-finish swines at 3 pm, during the most sensitive phases to thermal stress (growth/ finishing and finishing). To this end, dry-bulb temperature, relative humidity, air speed, ammonia and carbon dioxide concentrations were measured at 81 equidistant points within the barn. Descriptive statistics was used to classify attribute variability, generating mean, median, variation coefficient, asymmetry and kurtosis, through the normality of Kolmogorov-Smirnov (KS). For that, it was used Minitab 15 software. Moreover, semivariograms were used to assess spatial dependence using the GS+ software, and through Surfer, spatial distribution maps were designed. Dry-bulb...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Ambience; Welfare; Geostatistics; Pig farming.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000500739
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SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS REA
Silvero,Nélida E. Q.; Marques Júnior,José; Siqueira,Diego S.; Gomes,Romário P.; Costa,Milene M. R..
ABSTRACT The elaboration of maps to characterize the spatial variability of soil attributes assists in the strategic planning and decision making of agricultural managers. Precision and accuracy of maps are related to the ideal sampling density to characterize the variability pattern. This study was conducted with the aim of identifying the sampling density to represent the variability of soil physical quality using attributes with different magnitudes of variation in an area cultivated with coffee. Three approaches were used to find the most adequate sampling density (geostatistical analysis, percentage of error associated with the sampling density, and coefficient of variation). A total of 145 soil samples were collected at a depth of 0-0.20 m at the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Coffea arabica; Sampling error; Geostatistics.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000500718
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GAUSSIAN SPATIAL LINEAR MODEL OF SOYBEAN YIELD USING BOOTSTRAP METHODS REA
Dalposso,Gustavo H.; Uribe-Opazo,Miguel A.; Johann,Jerry A.; Galea,Manuel; Bastiani,Fernanda De.
ABSTRACT This study aims to quantify the uncertainties associated to the parameters of a Gaussian spatial linear model (GSLM) and the assumption of normality residuals in the modeling of the spatial dependence of the soybean yield as a function of soil chemical attributes. The spatial bootstrap methods were used to determine the point and interval estimators associated with the model parameters. Hypothesis tests were carried out on the significance of the model parameters and the quantile-quantile probability plot was elaborated to verify the data normality. The uncertainties associated to the parameters of the spatial dependence structure were quantified and the potassium content, phosphorus content and soil pH covariates were significant to explain the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Geostatistics; Spatial resampling; Spatial variability.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000100110
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Comparison of maps of spatial variability of soil resistance to penetration constructed with and without covariables using a spatial linear model REA
Bastiani,Fernanda de; Uribe-Opazo,Miguel A.; Dalposso,Gustavo H..
A study about the spatial variability of data of soil resistance to penetration (RSP) was conducted at layers 0.0-0.1 m, 0.1-0.2 m and 0.2-0.3 m depth, using the statistical methods in univariate forms, i.e., using traditional geostatistics, forming thematic maps by ordinary kriging for each layer of the study. It was analyzed the RSP in layer 0.2-0.3 m depth through a spatial linear model (SLM), which considered the layers 0.0-0.1 m and 0.1-0.2 m in depth as covariable, obtaining an estimation model and a thematic map by universal kriging. The thematic maps of the RSP at layer 0.2-0.3 m depth, constructed by both methods, were compared using measures of accuracy obtained from the construction of the matrix of errors and confusion matrix. There are...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Geostatistics; Maximum likelihood; Error matrix.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000200019
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Spatial variability of the rainfall erosive potential in the State of Mato Grosso do Sul, Brazil REA
Oliveira,Paulo T. S.; Rodrigues,Dulce B. B.; Sobrinho,Teodorico A.; Carvalho,Daniel F. de; Panachuki,Elói.
Information about rainfall erosivity is important during soil and water conservation planning. Thus, the spatial variability of rainfall erosivity of the state Mato Grosso do Sul was analyzed using ordinary kriging interpolation. For this, three pluviograph stations were used to obtain the regression equations between the erosivity index and the rainfall coefficient EI30. The equations obtained were applied to 109 pluviometric stations, resulting in EI30 values. These values were analyzed from geostatistical technique, which can be divided into: descriptive statistics, adjust to semivariogram, cross-validation process and implementation of ordinary kriging to generate the erosivity map.Highest erosivity values were found in central and northeast regions of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Water erosion; Rainfall erosivity index; Geostatistics.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100008
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NUGGET EFFECT INFLUENCE ON SPATIAL VARIABILITY OF AGRICULTURAL DATA REA
Guedes,Luciana P. C.; Bach,Raquel T.; Uribe-Opazo,Miguel A..
ABSTRACT Spatial variability description of soil chemical properties by thematic maps depends substantially on suitable geostatistical models. One of the parameters composing a geostatistical model is nugget effect. This study aimed to evaluate the simultaneous influence of nugget effect and sampling design on geostatistical model estimation and estimation of soil chemical properties at unsampled sites, considering simulated data. Our results will be used as scientific basis for spatial variability analyses of soil chemical properties in agricultural areas. Given the simulation results and agricultural data, we concluded that the high nugget effect values obtained here reduced spatial estimation efficiency. Moreover, a systematic sampling design promoted...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Geostatistics; Spatial Dependence Index (SDI); Relative Nugget Effect (RNE); Spatial Estimation.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000100096
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RELATIONSHIP BETWEEN SAMPLE DESIGN AND GEOMETRIC ANISOTROPY IN THE PREPARATION OF THEMATIC MAPS OF CHEMICAL SOIL ATTRIBUTES REA
Guedes,Luciana P. C.; Uribe-Opazo,Miguel A.; Ribeiro Junior,Paulo J.; Dalposso,Gustavo H..
ABSTRACT Spatial variability depends on the sampling configuration and characteristics associated with the georeferenced phenomenon, such as geometric anisotropy. This study aimed to determine the influence of the sampling design on parameter estimation in an anisotropic geostatistical model and the spatial estimation of a georeferenced variable at unsampled locations. Datasets were simulated with geometric anisotropy, considering five values for the anisotropic ratio (1, 2, 3, 4, 5), and three sampling designs: lattice, random and lattice plus close pairs. The simulation results were used as a reference to select anisotropic models to describe the spatial dependence structure in chemical soil properties. For each dataset (with either simulated or chemical...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bootstrap; Directional trend; Geostatistics; Spatial variability; Tests of isotropy.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000200260
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Erosion factors and magnetic susceptibility in differet compartments of a slope in Gilbués-PI, Brazil REA
Santos,Hélio L.; Marques Júnior,José; Matias,Sammy S. R.; Siqueira,Diego S.; Martins Filho,Marcílio V..
The erosion is the degradation of soil with effects on crop productivity and pollution of the environment. To understand the spatial variability of this phenomenon, geostatistical techniques and concepts of soil-landscape can be used to identify landscape compartments with different potential of erosion. The aim of this study was to understand the factors of erosion in landscape compartments and the relations with the magnetic susceptibility (MS) of the soils in a slope in Gilbués, state of Piauí (PI), Brazil. Sampling meshes were set in compartments I and II with 121 points and in compartment III with 99 points spaced every 10 meters. There was significant difference to erodibility (K) and risk of erosion (RE); the spatial variability of MS was lower than...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Indirect quantification; Geostatistics; Conservation planning; Compartments; Topography; Relief; Landscape.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000100008
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PEDOTRANSFER FUNCTION TO ESTIMATE THE SOIL STRUCTURAL “S” INDEX AND SPATIAL VARIABILITY IN AN OXISOL WITHIN A LIVESTOCK FARMING SYSTEM REA
Tavanti,Renan F. R.; Montanari,Rafael; Panosso,Alan R.; Freddi,Onã da S.; Paz-González,Antonio.
ABSTRACT Various attributes are often required to build soil quality indicators. However, determining these attributes is time-consuming and requires several specific devices. Thus, it is desirable to develop indexes that express soil quality based on easily determined attributes. The objective of this study was to investigate the spatial variability of the S index and its correlation with other physical and chemical soil attributes to generate a pedotransfer function for estimating the S index. A georeferenced sampling mesh covering 1.4 ha and employing 71 points was installed. The soil samples were collected in 0.00–0.15 m and 0.15–0.30 m deep layers to determine the physical and chemical attributes. The results indicated that the S index was correlated...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil and water management; Geostatistics; Soil quality index; Stepwise procedures.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000100034
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