Articles | Volume 7, issue 10
https://doi.org/10.5194/bg-7-3019-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-7-3019-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Density/area power-law models for separating multi-scale anomalies of ore and toxic elements in stream sediments in Gejiu mineral district, Yunnan Province, China
Q. Cheng
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, Beijing 100087, China
Department of Earth and Space Engineering, Department of Geography, York University, Toronto, 4700 Keele Street, M3J 1P3, Ontario, Canada
Q. Xia
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, Beijing 100087, China
Faculty of Resources, China University of Geosciences, China
W. Li
Yunnan Academy of Geological Survey, Kunming 650051, Yunnan, China
S. Zhang
Institute of Resources and Environment, Shijianzhuang University of Economics, Shijiazhuang, China
Z. Chen
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, Beijing 100087, China
Faculty of Resources, China University of Geosciences, China
R. Zuo
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, Beijing 100087, China
W. Wang
Department of Earth and Space Engineering, Department of Geography, York University, Toronto, 4700 Keele Street, M3J 1P3, Ontario, Canada
Viewed
Total article views: 2,795 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 07 Jun 2010)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,310 | 1,367 | 118 | 2,795 | 128 | 100 |
- HTML: 1,310
- PDF: 1,367
- XML: 118
- Total: 2,795
- BibTeX: 128
- EndNote: 100
Total article views: 2,118 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 06 Oct 2010)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,067 | 954 | 97 | 2,118 | 116 | 96 |
- HTML: 1,067
- PDF: 954
- XML: 97
- Total: 2,118
- BibTeX: 116
- EndNote: 96
Total article views: 677 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 07 Jun 2010)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
243 | 413 | 21 | 677 | 12 | 4 |
- HTML: 243
- PDF: 413
- XML: 21
- Total: 677
- BibTeX: 12
- EndNote: 4
Cited
66 citations as recorded by crossref.
- Exploratory data analysis and singularity mapping in geochemical anomaly identification in Karamay, Xinjiang, China Z. Shuguang et al. 10.1016/j.gexplo.2014.12.007
- Mineralization-related geochemical anomalies derived from stream sediment geochemical data using multifractal analysis in Pangxidong area of Qinzhou-Hangzhou tectonic joint belt, Guangdong Province, China Y. Zhang et al. 10.1007/s11771-013-1475-1
- Combination of multifractal geostatistical interpolation and spectrum–area (S–A) fractal model for Cu–Au geochemical prospects in Feizabad district, NE Iran R. Ghezelbash et al. 10.1007/s12517-019-4318-z
- Identification of geochemical anomalies associated with mineralization in the Fanshan district, Fujian, China R. Zuo 10.1016/j.gexplo.2013.08.013
- Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping M. Yousefi & E. Carranza 10.1016/j.cageo.2014.10.014
- A spatially weighted principal component analysis for multi-element geochemical data for mapping locations of felsic intrusions in the Gejiu mineral district of Yunnan, China Q. Cheng et al. 10.1016/j.cageo.2010.11.001
- Apportionment and Spatial Pattern Analysis of Soil Heavy Metal Pollution Sources Related to Industries of Concern in a County in Southwestern China X. Chen et al. 10.3390/ijerph19127421
- Quantification of anisotropic scale invariance of geochemical anomalies associated with Sn-Cu mineralization in Gejiu, Yunan Province, China L. Cao & Q. Cheng 10.1016/j.gexplo.2012.08.001
- Prospectivity modeling of porphyry copper deposits: recognition of efficient mono- and multi-element geochemical signatures in the Varzaghan district, NW Iran R. Ghezelbash et al. 10.1007/s11631-018-0289-0
- Exploring the effects of cell size in geochemical mapping R. Zuo 10.1016/j.gexplo.2011.11.001
- Chemical speciation and bioavailability concentration of arsenic and heavy metals in sediment and soil cores in estuarine ecosystem, Vietnam N. Thinh et al. 10.1016/j.microc.2018.03.005
- Application of principal component analysis and a spectrum-area fractal model to identify geochemical anomalies associated with vanadium mineralization in northeastern Jiangxi Province, South China H. Li et al. 10.1144/geochem2021-090
- Tectonic–geochemical exploration modeling for characterizing geo-anomalies in southeastern Yunnan district, China W. Wang et al. 10.1016/j.gexplo.2012.06.017
- Data-Driven Index Overlay and Boolean Logic Mineral Prospectivity Modeling in Greenfields Exploration M. Yousefi & E. Carranza 10.1007/s11053-014-9261-9
- Evaluation of uncertainty in mineral prospectivity mapping due to missing evidence: A case study with skarn-type Fe deposits in Southwestern Fujian Province, China R. Zuo et al. 10.1016/j.oregeorev.2014.09.024
- Multifractal analysis of stream sediment geochemical data: Implications for hydrothermal nickel prospection in an arid terrain, eastern Iran M. Parsa et al. 10.1016/j.gexplo.2016.11.013
- Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls R. Ghezelbash et al. 10.1007/s12145-018-00377-6
- A New Discovery of Cu Mineralization in the North Qaidam, Tibet via Log-Ratio, Robust Factor Analysis, and Spectrum–Area Modeling S. Zheng et al. 10.3390/app14062597
- Geological mapping of basalt using stream sediment geochemical data: Case study of covered areas in Jining, Inner Mongolia, China Y. Ge et al. 10.1016/j.gexplo.2021.106888
- Identifying Hydrothermal Alterations Using Singularity Mapping of PCA Images Based on ASTER Data N. Ostadmahdi Aragh et al. 10.1007/s42461-020-00264-z
- Fractal/multifractal modelling of geochemical exploration data R. Zuo et al. 10.1016/j.gexplo.2012.09.009
- Mapping spatial distribution characteristics of lineaments extracted from remote sensing image using fractal and multifractal models C. Lyu et al. 10.1007/s12583-016-0914-x
- Using fractal and multifractal methods to reveal geophysical anomalies in Sardouyeh District, Kerman, Iran S. Akbari et al. 10.1007/s12145-023-01016-5
- Spatial pattern analysis of Ni concentration in topsoils in the Campania Region (Italy) A. Petrik et al. 10.1016/j.gexplo.2017.09.009
- Mapping of single- and multi-element geochemical indicators based on catchment basin analysis: Application of fractal method and unsupervised clustering models R. Ghezelbash et al. 10.1016/j.gexplo.2019.01.017
- Identifying Geochemical Anomalies Associated with Gold Mineralization Using Factor Analysis and Spectrum–Area Multifractal Model in Laowan District, Qinling-Dabie Metallogenic Belt, Central China R. Wu et al. 10.3390/min10030229
- A comparison study of the C–A and S–A models with singularity analysis to identify geochemical anomalies in covered areas R. Zuo et al. 10.1016/j.apgeochem.2013.02.009
- Fractal/multifractal modeling of geochemical data: A review R. Zuo & J. Wang 10.1016/j.gexplo.2015.04.010
- Spatially quantitative characterization of geological processes associated with polymetallic Sn-W mineralization in the Malipo mineral district, Southeastern Yunnan, China W. Wang et al. 10.1016/j.oregeorev.2017.09.024
- Geogenic versus anthropogenic behaviour and geochemical footprint of Al, Na, K and P in the Campania region (Southern Italy) soils through compositional data analysis and enrichment factor M. Thiombane et al. 10.1016/j.geoderma.2018.08.008
- Knowledge-driven based three-dimensional prospectivity modeling of Fe–Cu skarn deposits; a case study of the Fanchang volcanic basin, anhui province, Eastern China H. Li et al. 10.1016/j.oregeorev.2022.105065
- Soil geochemical follow-up in the Cilento World Heritage Park (Campania, Italy) through exploratory compositional data analysis and C-A fractal model M. Thiombane et al. 10.1016/j.gexplo.2017.06.010
- A MATLAB-based program for processing geochemical data using fractal/multifractal modeling J. Wang & R. Zuo 10.1007/s12145-015-0215-5
- Application of radial basis function in the analysis of irregular geochemical patterns through spectrum-area method Z. Hoseinzade et al. 10.1016/j.gexplo.2018.09.002
- GIS-based mineral potential modeling by advanced spatial analytical methods in the southeastern Yunnan mineral district, China W. Wang et al. 10.1016/j.oregeorev.2014.09.032
- Prospectivity modeling of porphyry-Cu deposits by identification and integration of efficient mono-elemental geochemical signatures M. Parsa et al. 10.1016/j.jafrearsci.2015.12.007
- Identification of geochemical anomaly and gold potential mapping in the Sonakhan Greenstone belt, Central India: An integrated concentration-area fractal and fuzzy AHP approach S. Behera et al. 10.1016/j.apgeochem.2019.05.015
- Compositional data analysis in the study of integrated geochemical anomalies associated with mineralization R. Zuo et al. 10.1016/j.apgeochem.2012.10.031
- Spatial characteristics of geochemical patterns related to Fe mineralization in the southwestern Fujian province (China) H. Wang et al. 10.1016/j.gexplo.2014.10.010
- Controls on Mississippi Valley-Type Zn-Pb mineralization in Behabad district, Central Iran: Constraints from spatial and numerical analyses M. Parsa & A. Maghsoudi 10.1016/j.jafrearsci.2018.01.012
- Application of Fourier and wavelet approaches for identification of geochemical anomalies H. Shahi et al. 10.1016/j.jafrearsci.2015.03.017
- Decomposition of anomaly patterns of multi-element geochemical signatures in Ahar area, NW Iran: a comparison of U-spatial statistics and fractal models M. Parsa et al. 10.1007/s12517-016-2435-5
- Multifractal analysis of geochemical anomalies: A tool for assessing prospectivity at the SE border of the Ossa Morena Zone, Variscan Massif (Spain) M. Arias et al. 10.1016/j.gexplo.2012.08.007
- Identifying gravity anomalies caused by granitic intrusions in Nanling mineral district, China: a multifractal perspective G. Chen et al. 10.1111/1365-2478.12187
- Mo, Sn and W patterns in topsoils of the Campania Region, Italy C. Rezza et al. 10.1144/geochem2017-061
- A New Discovery of Ag-Pb-Zn Mineralization via Modern Portable Analytical Technology and Stream Sediment Data Processing Methods in Dajiacuo Area, Western Tibet (China) X. Jiang et al. 10.1007/s12583-020-1323-9
- Image Segmentation for Hydrothermal Alteration Mapping Using PCA and Concentration–Area Fractal Model H. Shahriari et al. 10.1007/s11053-013-9211-y
- The spatial pattern of beryllium and its possible origin using compositional data analysis on a high-density topsoil data set from the Campania Region (Italy) A. Petrik et al. 10.1016/j.apgeochem.2018.02.008
- Using an analytic hierarchy process-based index and geographic information system in geochemical exploration of gold E. Yılmazer et al. 10.1144/geochem2021-013
- Spatial analyses of exploration evidence data to model skarn-type copper prospectivity in the Varzaghan district, NW Iran M. Parsa et al. 10.1016/j.oregeorev.2017.11.013
- Decomposing of mixed pattern of arsenic using fractal model in Gangdese belt, Tibet, China R. Zuo 10.1016/j.apgeochem.2011.03.122
- Fractal/multifractal analysis in support of mineral exploration in the Duolong mineral district, Tibet, China W. Wang et al. 10.1144/geochem2016-449
- Convolutional neural network and transfer learning based mineral prospectivity modeling for geochemical exploration of Au mineralization within the Guandian–Zhangbaling area, Anhui Province, China H. Li et al. 10.1016/j.apgeochem.2020.104747
- Compositional analysis and pollution impact assessment: A case study in the Gulfs of Naples and Salerno W. Menghan et al. 10.1016/j.ecss.2015.03.031
- Copper prospectivity in Tibet, China: Based on the identification of geochemical anomalies B. Liu et al. 10.1016/j.oregeorev.2018.07.015
- Integrating indices based on different chemical extractions and bioaccumulation in Bellamya aeruginosa to assess metal pollution and ecological risk in sediment Z. Yu et al. 10.1016/j.ecoenv.2022.113853
- Identifying geochemical anomalies associated with Cu and Pb–Zn skarn mineralization using principal component analysis and spectrum–area fractal modeling in the Gangdese Belt, Tibet (China) R. Zuo 10.1016/j.gexplo.2011.06.012
- Ensemble learning models with a Bayesian optimization algorithm for mineral prospectivity mapping J. Yin & N. Li 10.1016/j.oregeorev.2022.104916
- A comparative study of concentration-area (C-A) and spectrum-area (S-A) fractal models for separating geochemical anomalies in Shorabhaji region, NW Iran A. Daya & P. Afzal 10.1007/s12517-014-1771-6
- Identification of multivariate geochemical anomalies using spatial autocorrelation analysis and robust statistics T. Nguyen & T. Vu 10.1016/j.oregeorev.2019.102985
- Application of fractal content-gradient method for delineating geochemical anomalies associated with copper occurrences in the Yangla ore field, China Z. Chen et al. 10.1016/j.gsf.2015.11.010
- Identification of metamorphic rocks in Wuliangshan Mountains (Southwest China) using ASTER data Q. Chen et al. 10.1007/s12517-018-3635-y
- Arsenic and arsenic speciation in mushrooms from China: A review J. Zhang et al. 10.1016/j.chemosphere.2019.125685
- Application of the content–area (C–A) fractal model and prediction–area (P–A) plot for mineral prospectivity modeling in the Luchun area of Yunnan Province, China Z. Chen et al. 10.1007/s12517-018-3515-5
- Dark septate endophytes colonizing the roots of ‘non-mycorrhizal’ plants in a mine tailing pond and in a relatively undisturbed environment, Southwest China H. Liu et al. 10.1080/17429145.2017.1333635
- Multifractal modelling-based mapping and identification of geochemical anomalies associated with Cu and Au mineralisation in the NW Junggar area of northern Xinjiang Province, China F. Yuan et al. 10.1016/j.gexplo.2014.11.015
63 citations as recorded by crossref.
- Exploratory data analysis and singularity mapping in geochemical anomaly identification in Karamay, Xinjiang, China Z. Shuguang et al. 10.1016/j.gexplo.2014.12.007
- Mineralization-related geochemical anomalies derived from stream sediment geochemical data using multifractal analysis in Pangxidong area of Qinzhou-Hangzhou tectonic joint belt, Guangdong Province, China Y. Zhang et al. 10.1007/s11771-013-1475-1
- Combination of multifractal geostatistical interpolation and spectrum–area (S–A) fractal model for Cu–Au geochemical prospects in Feizabad district, NE Iran R. Ghezelbash et al. 10.1007/s12517-019-4318-z
- Identification of geochemical anomalies associated with mineralization in the Fanshan district, Fujian, China R. Zuo 10.1016/j.gexplo.2013.08.013
- Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping M. Yousefi & E. Carranza 10.1016/j.cageo.2014.10.014
- A spatially weighted principal component analysis for multi-element geochemical data for mapping locations of felsic intrusions in the Gejiu mineral district of Yunnan, China Q. Cheng et al. 10.1016/j.cageo.2010.11.001
- Apportionment and Spatial Pattern Analysis of Soil Heavy Metal Pollution Sources Related to Industries of Concern in a County in Southwestern China X. Chen et al. 10.3390/ijerph19127421
- Quantification of anisotropic scale invariance of geochemical anomalies associated with Sn-Cu mineralization in Gejiu, Yunan Province, China L. Cao & Q. Cheng 10.1016/j.gexplo.2012.08.001
- Prospectivity modeling of porphyry copper deposits: recognition of efficient mono- and multi-element geochemical signatures in the Varzaghan district, NW Iran R. Ghezelbash et al. 10.1007/s11631-018-0289-0
- Exploring the effects of cell size in geochemical mapping R. Zuo 10.1016/j.gexplo.2011.11.001
- Chemical speciation and bioavailability concentration of arsenic and heavy metals in sediment and soil cores in estuarine ecosystem, Vietnam N. Thinh et al. 10.1016/j.microc.2018.03.005
- Application of principal component analysis and a spectrum-area fractal model to identify geochemical anomalies associated with vanadium mineralization in northeastern Jiangxi Province, South China H. Li et al. 10.1144/geochem2021-090
- Tectonic–geochemical exploration modeling for characterizing geo-anomalies in southeastern Yunnan district, China W. Wang et al. 10.1016/j.gexplo.2012.06.017
- Data-Driven Index Overlay and Boolean Logic Mineral Prospectivity Modeling in Greenfields Exploration M. Yousefi & E. Carranza 10.1007/s11053-014-9261-9
- Evaluation of uncertainty in mineral prospectivity mapping due to missing evidence: A case study with skarn-type Fe deposits in Southwestern Fujian Province, China R. Zuo et al. 10.1016/j.oregeorev.2014.09.024
- Multifractal analysis of stream sediment geochemical data: Implications for hydrothermal nickel prospection in an arid terrain, eastern Iran M. Parsa et al. 10.1016/j.gexplo.2016.11.013
- Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls R. Ghezelbash et al. 10.1007/s12145-018-00377-6
- A New Discovery of Cu Mineralization in the North Qaidam, Tibet via Log-Ratio, Robust Factor Analysis, and Spectrum–Area Modeling S. Zheng et al. 10.3390/app14062597
- Geological mapping of basalt using stream sediment geochemical data: Case study of covered areas in Jining, Inner Mongolia, China Y. Ge et al. 10.1016/j.gexplo.2021.106888
- Identifying Hydrothermal Alterations Using Singularity Mapping of PCA Images Based on ASTER Data N. Ostadmahdi Aragh et al. 10.1007/s42461-020-00264-z
- Fractal/multifractal modelling of geochemical exploration data R. Zuo et al. 10.1016/j.gexplo.2012.09.009
- Mapping spatial distribution characteristics of lineaments extracted from remote sensing image using fractal and multifractal models C. Lyu et al. 10.1007/s12583-016-0914-x
- Using fractal and multifractal methods to reveal geophysical anomalies in Sardouyeh District, Kerman, Iran S. Akbari et al. 10.1007/s12145-023-01016-5
- Spatial pattern analysis of Ni concentration in topsoils in the Campania Region (Italy) A. Petrik et al. 10.1016/j.gexplo.2017.09.009
- Mapping of single- and multi-element geochemical indicators based on catchment basin analysis: Application of fractal method and unsupervised clustering models R. Ghezelbash et al. 10.1016/j.gexplo.2019.01.017
- Identifying Geochemical Anomalies Associated with Gold Mineralization Using Factor Analysis and Spectrum–Area Multifractal Model in Laowan District, Qinling-Dabie Metallogenic Belt, Central China R. Wu et al. 10.3390/min10030229
- A comparison study of the C–A and S–A models with singularity analysis to identify geochemical anomalies in covered areas R. Zuo et al. 10.1016/j.apgeochem.2013.02.009
- Fractal/multifractal modeling of geochemical data: A review R. Zuo & J. Wang 10.1016/j.gexplo.2015.04.010
- Spatially quantitative characterization of geological processes associated with polymetallic Sn-W mineralization in the Malipo mineral district, Southeastern Yunnan, China W. Wang et al. 10.1016/j.oregeorev.2017.09.024
- Geogenic versus anthropogenic behaviour and geochemical footprint of Al, Na, K and P in the Campania region (Southern Italy) soils through compositional data analysis and enrichment factor M. Thiombane et al. 10.1016/j.geoderma.2018.08.008
- Knowledge-driven based three-dimensional prospectivity modeling of Fe–Cu skarn deposits; a case study of the Fanchang volcanic basin, anhui province, Eastern China H. Li et al. 10.1016/j.oregeorev.2022.105065
- Soil geochemical follow-up in the Cilento World Heritage Park (Campania, Italy) through exploratory compositional data analysis and C-A fractal model M. Thiombane et al. 10.1016/j.gexplo.2017.06.010
- A MATLAB-based program for processing geochemical data using fractal/multifractal modeling J. Wang & R. Zuo 10.1007/s12145-015-0215-5
- Application of radial basis function in the analysis of irregular geochemical patterns through spectrum-area method Z. Hoseinzade et al. 10.1016/j.gexplo.2018.09.002
- GIS-based mineral potential modeling by advanced spatial analytical methods in the southeastern Yunnan mineral district, China W. Wang et al. 10.1016/j.oregeorev.2014.09.032
- Prospectivity modeling of porphyry-Cu deposits by identification and integration of efficient mono-elemental geochemical signatures M. Parsa et al. 10.1016/j.jafrearsci.2015.12.007
- Identification of geochemical anomaly and gold potential mapping in the Sonakhan Greenstone belt, Central India: An integrated concentration-area fractal and fuzzy AHP approach S. Behera et al. 10.1016/j.apgeochem.2019.05.015
- Compositional data analysis in the study of integrated geochemical anomalies associated with mineralization R. Zuo et al. 10.1016/j.apgeochem.2012.10.031
- Spatial characteristics of geochemical patterns related to Fe mineralization in the southwestern Fujian province (China) H. Wang et al. 10.1016/j.gexplo.2014.10.010
- Controls on Mississippi Valley-Type Zn-Pb mineralization in Behabad district, Central Iran: Constraints from spatial and numerical analyses M. Parsa & A. Maghsoudi 10.1016/j.jafrearsci.2018.01.012
- Application of Fourier and wavelet approaches for identification of geochemical anomalies H. Shahi et al. 10.1016/j.jafrearsci.2015.03.017
- Decomposition of anomaly patterns of multi-element geochemical signatures in Ahar area, NW Iran: a comparison of U-spatial statistics and fractal models M. Parsa et al. 10.1007/s12517-016-2435-5
- Multifractal analysis of geochemical anomalies: A tool for assessing prospectivity at the SE border of the Ossa Morena Zone, Variscan Massif (Spain) M. Arias et al. 10.1016/j.gexplo.2012.08.007
- Identifying gravity anomalies caused by granitic intrusions in Nanling mineral district, China: a multifractal perspective G. Chen et al. 10.1111/1365-2478.12187
- Mo, Sn and W patterns in topsoils of the Campania Region, Italy C. Rezza et al. 10.1144/geochem2017-061
- A New Discovery of Ag-Pb-Zn Mineralization via Modern Portable Analytical Technology and Stream Sediment Data Processing Methods in Dajiacuo Area, Western Tibet (China) X. Jiang et al. 10.1007/s12583-020-1323-9
- Image Segmentation for Hydrothermal Alteration Mapping Using PCA and Concentration–Area Fractal Model H. Shahriari et al. 10.1007/s11053-013-9211-y
- The spatial pattern of beryllium and its possible origin using compositional data analysis on a high-density topsoil data set from the Campania Region (Italy) A. Petrik et al. 10.1016/j.apgeochem.2018.02.008
- Using an analytic hierarchy process-based index and geographic information system in geochemical exploration of gold E. Yılmazer et al. 10.1144/geochem2021-013
- Spatial analyses of exploration evidence data to model skarn-type copper prospectivity in the Varzaghan district, NW Iran M. Parsa et al. 10.1016/j.oregeorev.2017.11.013
- Decomposing of mixed pattern of arsenic using fractal model in Gangdese belt, Tibet, China R. Zuo 10.1016/j.apgeochem.2011.03.122
- Fractal/multifractal analysis in support of mineral exploration in the Duolong mineral district, Tibet, China W. Wang et al. 10.1144/geochem2016-449
- Convolutional neural network and transfer learning based mineral prospectivity modeling for geochemical exploration of Au mineralization within the Guandian–Zhangbaling area, Anhui Province, China H. Li et al. 10.1016/j.apgeochem.2020.104747
- Compositional analysis and pollution impact assessment: A case study in the Gulfs of Naples and Salerno W. Menghan et al. 10.1016/j.ecss.2015.03.031
- Copper prospectivity in Tibet, China: Based on the identification of geochemical anomalies B. Liu et al. 10.1016/j.oregeorev.2018.07.015
- Integrating indices based on different chemical extractions and bioaccumulation in Bellamya aeruginosa to assess metal pollution and ecological risk in sediment Z. Yu et al. 10.1016/j.ecoenv.2022.113853
- Identifying geochemical anomalies associated with Cu and Pb–Zn skarn mineralization using principal component analysis and spectrum–area fractal modeling in the Gangdese Belt, Tibet (China) R. Zuo 10.1016/j.gexplo.2011.06.012
- Ensemble learning models with a Bayesian optimization algorithm for mineral prospectivity mapping J. Yin & N. Li 10.1016/j.oregeorev.2022.104916
- A comparative study of concentration-area (C-A) and spectrum-area (S-A) fractal models for separating geochemical anomalies in Shorabhaji region, NW Iran A. Daya & P. Afzal 10.1007/s12517-014-1771-6
- Identification of multivariate geochemical anomalies using spatial autocorrelation analysis and robust statistics T. Nguyen & T. Vu 10.1016/j.oregeorev.2019.102985
- Application of fractal content-gradient method for delineating geochemical anomalies associated with copper occurrences in the Yangla ore field, China Z. Chen et al. 10.1016/j.gsf.2015.11.010
- Identification of metamorphic rocks in Wuliangshan Mountains (Southwest China) using ASTER data Q. Chen et al. 10.1007/s12517-018-3635-y
- Arsenic and arsenic speciation in mushrooms from China: A review J. Zhang et al. 10.1016/j.chemosphere.2019.125685
3 citations as recorded by crossref.
- Application of the content–area (C–A) fractal model and prediction–area (P–A) plot for mineral prospectivity modeling in the Luchun area of Yunnan Province, China Z. Chen et al. 10.1007/s12517-018-3515-5
- Dark septate endophytes colonizing the roots of ‘non-mycorrhizal’ plants in a mine tailing pond and in a relatively undisturbed environment, Southwest China H. Liu et al. 10.1080/17429145.2017.1333635
- Multifractal modelling-based mapping and identification of geochemical anomalies associated with Cu and Au mineralisation in the NW Junggar area of northern Xinjiang Province, China F. Yuan et al. 10.1016/j.gexplo.2014.11.015
Saved (final revised paper)
Latest update: 23 Nov 2024
Special issue
Altmetrics
Final-revised paper
Preprint