@article{752672,
      recid = {752672},
      author = {Raju, N. Janardhana,},
      title = {Geostatistical and geospatial approaches for the  characterization of natural resources in the environment  challenges, processes and strategies / [electronic  resource] :},
      pages = {1 online resource.},
      abstract = {These proceedings of the IAMG 2014 conference in New Delhi  explore the current state of the art and inform readers  about the latest geostatistical and space-based  technologies for assessment and management in the contexts  of natural resource exploration, environmental pollution,  hazards and natural disaster research. The proceedings  cover 3D visualization, time-series analysis, environmental  geochemistry, numerical solutions in hydrology and  hydrogeology, geotechnical engineering, multivariate  geostatistics, disaster management, fractal modeling,  petroleum exploration, geoinformatics, sedimentary basin  analysis, spatiotemporal modeling, digital rock geophysics,  advanced mining assessment and glacial studies, and range  from the laboratory to integrated field studies.  Mathematics plays a key part in the crust, mantle, oceans  and atmosphere, creating climates that cause natural  disasters, and influencing fundamental aspects of  life-supporting systems and many other geological processes  affecting Planet Earth. As such, it is essential to  understand the synergy between the classical geosciences  and mathematics, which can provide the methodological tools  needed to tackle complex problems in modern geosciences.  The development of science and technology, transforming  from a descriptive stage to a more quantitative stage,  involves qualitative interpretations such as conceptual  models that are complemented by quantification, e.g.  numerical models, fast dynamic geologic models,  deterministic and stochastic models. Due to the increasing  complexity of the problems faced by todayℓ́ℓs  geoscientists, joint efforts to establish new conceptual  and numerical models and develop new paradigms are called  for.},
      url = {http://library.usi.edu/record/752672},
      doi = {https://doi.org/10.1007/978-3-319-18663-4},
}