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Fansheng Zhang, Lianglin Dong, Hongbo Wang, Ke Zhong, Peiyuan Zhang and Jinyan Jiang
During the construction of underground engineering, the prediction of groundwater distribution and rock body permeability is essential for evaluating the safety of the project and guiding subsequent design and construction. This article proposes an objec...
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Linda Permata
Pág. 259 - 273
A conventional surface mapping is calculated by any means of linear interpolator such as nearest neighborhood point (NNP), inverse distance (IDW)/inverse distance square (IDS), polygon, contour weighing, Ordinary Kriging (OK). The latter is included in g...
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Linda Permata
Pág. 259 - 273
A conventional surface mapping is calculated by any means of linear interpolator such as nearest neighborhood point (NNP), inverse distance (IDW)/inverse distance square (IDS), polygon, contour weighing, Ordinary Kriging (OK). The latter is included in g...
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Paolo Fabbri, Carlo Gaetan, Luca Sartore and Nico Dalla Libera
The reconstruction of hydro-stratigraphic units in subsoil (a general term indicating all the materials below ground level) plays an important role in the assessment of soil heterogeneity, which is a keystone in groundwater flow and transport modeling. A...
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Aisha Sikder and Andreas Züfle
Singular value decomposition (SVD) is ubiquitously used in recommendation systems to estimate and predict values based on latent features obtained through matrix factorization. But, oblivious of location information, SVD has limitations in predicting var...
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Beata Calka
The article presents a two-stage model for estimating the value of residential property. The research is based on the application of a sequence of known methods in the process of developing property value maps. The market is divided into local submarkets...
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Liangping Li and Guanxing Huang
Methods based on two-point geostatistics have been routinely used to interpolate random variables such as groundwater level and concentration and to estimate their values at un-sampled locations. These methods use the observed data to analyze spatial two...
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Liangping Li and Guanxing Huang
Pág. 1 - 7
Methods based on two-point geostatistics have been routinely used to interpolate random variables such as groundwater level and concentration and to estimate their values at un-sampled locations. These methods use the observed data to analyze spatial two...
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Esraa Othman, Iva Cibilic, Vesna Posloncec-Petric and Dina Saadallah
Environmental noise is a major environmental concern in metropolitan cities. The rapid social and economic growth in the 20th century is not always accompanied by adequate land planning and environmental management measures. As a consequence of rapid urb...
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Muhammad Tayyab, Rana Ammar Aslam, Umar Farooq, Sikandar Ali, Shahbaz Nasir Khan, Mazhar Iqbal, Muhammad Imran Khan and Naeem Saddique
Groundwater Arsenic (As) data are often sparse and location-specific, making them insufficient to represent the heterogeneity in groundwater quality status at unsampled locations. Interpolation techniques have been used to map groundwater As data at unsa...
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Nattakan Supajaidee, Nawinda Chutsagulprom and Sompop Moonchai
Ordinary kriging (OK) is a popular interpolation method for its ability to simultaneously minimize error variance and deliver statistically optimal and unbiased predictions. In this work, the adaptive moving window kriging with K-means clustering (AMWKK)...
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Hosang Han and Jangwon Suh
The accurate prediction of soil contamination in abandoned mining areas is necessary to address their environmental risks. This study employed a combined model of machine learning and geostatistics to predict the spatial distribution of soil contaminatio...
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Guadalupe Díaz-Gutiérrez, Luis Walter Daesslé, Francisco José Del-Toro-Guerrero, Mariana Villada-Canela and Georges Seingier
Groundwater pollution is one of the main challenges in our society, especially in semi-arid Mediterranean regions. This issue becomes especially critical in predominantly agricultural areas that lack comprehensive knowledge about the characteristics and ...
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Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of spatial and spatiotemporal big data is increasing rapidly. Spatially and temporally high resolved data are especially gathered via the Internet of Things. This data can often be accessed as data streams that push new data tuples conti...
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Salvador García-Ayllón and Gloria Martínez
The evaluation of anthropogenic impacts on the landscape is an issue that has traditionally been carried out from a descriptive or at least somewhat qualitative perspective. However, in recent years, the technological improvements provided by geographic ...
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Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of geodata with high spatial and temporal resolution is increasing steadily. Often, these data are continuously generated by distributed sensor networks and provided as geodata streams. Geostatistical analysis methods, such as spatiotemp...
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Agnieszka Wolna-Maruwka, Aleksandra Grzyb, Remigiusz Lukowiak, Jakub Ceglarek, Alicja Niewiadomska and Dariusz Kayzer
Understanding the spatial?temporal variability of soil enzymatic activity and its relationship with nitrogen (N) resources in the soil and crop yield is crucial in rational management practices of mineral fertilization. The scarcity of comprehensive stud...
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Pollyana Mona Soares Dias, Jeane Cruz Portela, Joaquim Emanuel Fernandes Gondim, Rafael Oliveira Batista, Leticia Sequinatto Rossi, Jonatan Levi Ferreira Medeiros, Phâmella Kalliny Pereira Farias, Paulo Jardel Mota, Diego José da Costa Bandeira, Luís Cesar de Aquino Lemos Filho, Geisiane Xavier de Matos, Francisco de Oliveira Mesquita, Felipe Ozias de Oliveira, Antonio Genilson Rodrigues Araújo and Claudeone Manoel do Nascimento
Studies on soils and their interrelationships with land use in the context of the semi-arid region of Brazil are still scarce, even though they have the potential to assist in understanding the use and management of soil and agricultural crops. From this...
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Emmanouil A. Varouchakis
In this technical note, a geostatistical model was applied to explore the spatial distribution of source rock data in terms of total organic carbon weight concentration. The median polish kriging method was used to approximate the ?row and column effect?...
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Rebecca Guiney, Elettra Santucci, Samuel Valman, Adam Booth, Andrew Birley, Ian Haynes, Stuart Marsh and Jon Mills
Climate change poses an imminent physical risk to cultural heritage sites and their surrounding landscape through intensifying environmental processes such as damaging wetting and drying cycles that disrupt archaeological preservation conditions, and soi...
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