Principal component analysis on spatial data: an overview
This article considers critically how one of the oldest and most widely applied statistical
methods, principal components analysis (PCA), is employed with spatial data. We first …
methods, principal components analysis (PCA), is employed with spatial data. We first …
Bayesian optimization with high-dimensional outputs
Bayesian optimization is a sample-efficient black-box optimization procedure that is typically
applied to a small number of independent objectives. However, in practice we often wish to …
applied to a small number of independent objectives. However, in practice we often wish to …
A geostatistical approach to assess concentration and spatial distribution of heavy metals in urban soils
Abstract Characterization of spatial variation of heavy metals in urban soils is essential to
identify pollution sources and potential risks to humans and the environment. While heavy …
identify pollution sources and potential risks to humans and the environment. While heavy …
Sequential Gaussian co-simulation of tectono-geochemical anomaly for concealed ore deposit prediction
Tectono-geochemical data measured from tectonites host a wealth of information that is
closely related to the accumulation and dispersion of ore-forming materials, while structure …
closely related to the accumulation and dispersion of ore-forming materials, while structure …
Multiscale spatial variability of CO2 emissions and correlations with physico-chemical soil properties
Spatial variability of greenhouse gas (GHG) emissions from agricultural lands is not well
known although it has a great impact on the accuracy of GHG budget. The objectives of this …
known although it has a great impact on the accuracy of GHG budget. The objectives of this …
Self-organizing map artificial neural networks and sequential Gaussian simulation technique for mapping potentially toxic element hotspots in polluted mining soils
The application of multivariate geostatistical and statistical methods remain valuable tools
for environmental pollution assessment. In particular, stochastic simulation techniques like …
for environmental pollution assessment. In particular, stochastic simulation techniques like …
Better assessment of the distribution of As and Pb in soils in a former smelting area, using ordinary co-kriging and sequential Gaussian co-simulation of portable X-ray …
To design an appropriate remediation plan at polluted sites, the spatial distribution of soil
contaminants should be accurately assessed using geostatistical approaches such as co …
contaminants should be accurately assessed using geostatistical approaches such as co …
[HTML][HTML] Variabilidade espacial do fósforo e das frações granulométricas de um Latossolo Vermelho Amarelo
Este trabalho foi realizado para estudar a variabilidade espacial do fósforo, estimando-a
através de cokrigagem, tendo como co-variáveis as frações granulométricas do solo. O …
através de cokrigagem, tendo como co-variáveis as frações granulométricas do solo. O …
1949~ 2007 年新疆人口的时空变化及空间结构分析
左永君， 何秉宇， 龙桃 - 地理科学, 2011 - geores.com.cn
Based on GIS, cluster analysis, geostatistics and other methods, this research investigated
the time serial change, spatial distribution and structure of population in Xinjiang from 1949 …
the time serial change, spatial distribution and structure of population in Xinjiang from 1949 …
Geostatistical simulation of rock physical and geochemical properties with spatial filtering and its application to predictive geological mapping
Constructing an interpretive geological model of the subsurface based on site-specific
geological, geophysical and geochemical sampling information is a primary step in the …
geological, geophysical and geochemical sampling information is a primary step in the …