Quantifying the spatial characteristics of geochemical patterns via GIS-based geographically weighted statistics
- 1 October 2015
- journal article
- Published by Elsevier BV in Journal of Geochemical Exploration
- Vol. 157, 110-119
- https://doi.org/10.1016/j.gexplo.2015.06.004
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (41372007)
- Program for New Century Excellent Talents in University (NCET-13-1016)
This publication has 41 references indexed in Scilit:
- Singularity theory and methods for mapping geochemical anomalies caused by buried sources and for predicting undiscovered mineral deposits in covered areasJournal of Geochemical Exploration, 2012
- Local Indicators of Spatial Association-LISAGeographical Analysis, 2010
- Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, ChinaOre Geology Reviews, 2007
- Linking the concept of scale to studies of biological diversity: evolving approaches and toolsDiversity and Distributions, 2006
- New Perspectives on Water Chemistry and Compositional Data AnalysisMathematical Geology, 2005
- Geographically Weighted Local Statistics Applied to Binary DataLecture Notes in Computer Science, 2002
- Spatial variations in the average rainfall–altitude relationship in Great Britain: an approach using geographically weighted regressionInternational Journal of Climatology, 2001
- Multifractality and spatial statisticsComputers & Geosciences, 1999
- Spatial and scaling modelling for geochemical anomaly separationJournal of Geochemical Exploration, 1999
- Geographically Weighted Regression: A Method for Exploring Spatial NonstationarityGeographical Analysis, 1996