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Prince Chapman Agyeman ()

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Citace

KEBONYE, N. – **EZE, P. – JOHN, K. – AGYEMAN, P. – NĚMEČEK, K. – BORŮVKA, L. An in-depth human health risk assessment of potentially toxic elements in highly polluted riverine soils, Příbram (Czech Republic). ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2022, roč. 44, č. , s. 369-385. ISSN: 0269-4042.

AGYEMAN, P. – JOHN, K. – KEBONYE, N. – AHADO, S. – BORŮVKA, L. – NĚMEČEK, K. – VAŠÁT, R. Multi-geochemical background comparison and the identification of the best normalizer for the estimation of PTE contamination in agricultural soil. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2022, roč. 44, č. , s. 3597-3613. ISSN: 0269-4042.

AGYEMAN, P. – KEBONYE, N. – JOHN, K. – BORŮVKA, L. – VAŠÁT, R. – FAJEMISIN, O. Prediction of nickel concentration in peri-urban and urban soils using hybridized empirical bayesian kriging and support vector machine regression. Scientific Reports, 2022, roč. 12, č. 1, s. 0-0. ISSN: 2045-2322.

AGYEMAN, P. – JOHN, K. – KEBONYE, N. – **OFORI, S. – BORŮVKA, L. – VAŠÁT, R. – KOČÁREK, M. Ecological risk source distribution, uncertainty analysis, and application of geographically weighted regression cokriging for prediction of potentially toxic elements in agricultural soils. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, roč. 164, č. Aug, s. 729-746. ISSN: 0957-5820.

AGYEMAN, P. – KHOSRAVI, V. – KEBONYE, N. – JOHN, K. – BORŮVKA, L. – VAŠÁT, R. Using spectral indices and terrain attribute datasets and their combination in the prediction of cadmium content in agricultural soil. Computers and Electronics in Agriculture, 2022, roč. 198, č. 107077, s. 0-0. ISSN: 0168-1699.

JOHN, K. – **BOUSLIHIM, Y. – **ISONG, I. – **HSSAINI, L. – **RAZOUK, R. – KEBONYE, N. – AGYEMAN, P. – PENÍŽEK, V. – ZÁDOROVÁ, T. Mapping soil nutrients via different covariates combinations: theory and an example from Morocco. ECOLOGICAL PROCESSES , 2022, roč. 11, č. 23, s. 0-0. ISSN: 2192-1709.

JOHN, K. – **BOUSLIHIM, Y. – **OFEM, K. – **HSSAINI, L. – **RAZOUK, R. – **OKON, P. – **ISONG, I. – AGYEMAN, P. – KEBONYE, N. – **QIN, C. Do model choice and sample ratios separately or simultaneously influence soil organic matter prediction?. International Soil and Water Conservation Research , 2022, roč. 10, č. 3, s. 470-486. ISSN: 2095-6339 .

AGYEMAN, P. – AHADO, S. – JOHN, K. – KEBONYE, N. – BINEY, J. – BORŮVKA, L. – VAŠÁT, R. – KOČÁREK, M. Source apportionment, contamination levels, and spatial prediction of potentially toxic elements in selected soils of the Czech Republic. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2021, roč. 43, č. , s. 601-620. ISSN: 0269-4042.

AGYEMAN, P. – AHADO, S. – BORŮVKA, L. – BINEY, J. – OPPONG SARKODIE, V. – KEBONYE, N. – JOHN, K. Trend analysis of global usage of digital soil mapping models in the prediction of potentially toxic elements in soil/sediments: a bibliometric review. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2021, roč. 43, č. 5, s. 1715-1739. ISSN: 0269-4042.

KEBONYE, N. – JOHN, K. – **CHAKRABORTY, S. – AGYEMAN, P. – AHADO, S. – **EZE, P. – NĚMEČEK, K. – DRÁBEK, O. – BORŮVKA, L. Comparison of multivariate methods for arsenic estimation and mapping in floodplain soil via portable X-ray fluorescence spectroscopy. Geoderma, 2021, roč. 384, č. 114792, s. 0-0. ISSN: 0016-7061.

BINEY, J. – **SABERIOON, M. – BORŮVKA, L. – HOUŠKA, J. – VAŠÁT, R. – AGYEMAN, P. – **COBLINSKI, J. – KLEMENT, A. Exploring the suitability of UAS-based multispectral images for estimating soil organic carbon: Comparison with proximal soil sensing and spaceborne imagery. Remote Sensing, 2021, roč. 13, č. 308, s. 0-0. ISSN: 2072-4292.

AGYEMAN, P. – AHADO, S. – JOHN, K. – KEBONYE, N. – VAŠÁT, R. – BORŮVKA, L. – KOČÁREK, M. – NĚMEČEK, K. Health risk assessment and the application of C-PMF: a pollution assessment-based receptor model in an urban soil. JOURNAL OF SOILS AND SEDIMENTS, 2021, roč. 21, č. 9, s. 3117-3136. ISSN: 1439-0108.

KEBONYE, N. – **EZE, P. – AGYEMAN, P. – JOHN, K. – AHADO, S. Efficiency of the t-distribution stochastic neighbor embedding technique for detailed visualization and modeling interactions between agricultural soil quality indicators. Biosystems Engineering, 2021, roč. 210, č. , s. 282-298. ISSN: 1537-5110.

JOHN, K. – KEBONYE, N. – AGYEMAN, P. – AHADO, S. Comparison of Cubist models for soil organic carbon prediction via portable XRF measured data. Environmental Monitoring and Assessment, 2021, roč. 193, č. 197, s. 0-0. ISSN: 0167-6369.

JOHN, K. – AGYEMAN, P. – KEBONYE, N. – **ISONG, I. – **AYITO, E. – **OFEM, K. – **QIN, C. Hybridization of cokriging and gaussian process regression modelling techniques in mapping soil sulphur. Catena, 2021, roč. 206, č. 105534, s. 0-0. ISSN: 0341-8162.

JOHN, K. – **AFU, S. – **ISONG, I. – AGYEMAN, P. – KEBONYE, N. – **AYITO, E. Estimation of soil organic carbon distribution by geostatistical and deterministic interpolation methods: A case study of the southeastern soils of Nigeria. Environmental Engineering and Management Journal, 2021, roč. 20, č. 7, s. 1077-1085. ISSN: 1582-9596.

AGYEMAN, P. – JOHN, K. – KEBONYE, N. – BORŮVKA, L. – VAŠÁT, R. – DRÁBEK, O. – NĚMEČEK, K. Human health risk exposure and ecological risk assessment of potentially toxic element pollution in agricultural soils in the district of Frydek Mistek, Czech Republic: a sample location approach. Environmental Sciences Europe, 2021, roč. 33, č. 137, s. 0-0. ISSN: 2190-4707.

AGYEMAN, P. – JOHN, K. – KEBONYE, N. – BORŮVKA, L. – VAŠÁT, R. – DRÁBEK, O. A geostatistical approach to estimating source apportionment in urban and peri-urban soils using the Czech Republic as an example. ..., 2021, roč. 11, č. 1, s. 0-0. ISSN: N.

JOHN, K. – **AFU, S. – **ISONG, I. – **AKI, E. – KEBONYE, N. – **AYITO, E. – AGYEMAN, P. – **EYONG, M. – PENÍŽEK, V. Mapping soil properties with soil-environmental covariates using geostatistics and multivariate statistics. International Journal of Environmental Science and Technology, 2021, roč. 18, č. , s. 3327-3342. ISSN: 1735-1472.

JOHN, K. – **ISONG, I. – KEBONYE, N. – AGYEMAN, P. – **AYITO, E. – AHADO, S. Soil organic carbon prediction with terrain derivatives using geostatistics and sequential Gaussian simulation. Journal of the Saudi Society of Agricultural Sciences, 2021, roč. 20, č. , s. 379-389. ISSN: 1658-077X.

BINEY, J. – BORŮVKA, L. – AGYEMAN, P. – NĚMEČEK, K. – KLEMENT, A. Comparison of field and laboratory wet soil spectra in the Vis-NIR range for soil organic carbon prediction in the absence of laboratory dry measurements. Remote Sensing, 2020, roč. 12, č. 3082, s. 0-0. ISSN: 2072-4292.

JOHN, K. – **ISONG, I. – KEBONYE, N. – **AYITO, E. – AGYEMAN, P. – **AFU, S. Using machine learning algorithms to estimate soil organic carbon variability with environmental variables and soil nutrient indicators in an alluvial soil. Land, 2020, roč. 9, č. 12, s. 1-20. ISSN: 2073-445X .

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