rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Spatial Modeling Principles in Earth Sciences
  name:
    name part: Sen, Zekai.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 351 p. online resource.
  abstract: A comprehensive presentation of spatial modeling techniques used in the earth sciences, this book also outlines original techniques developed by the author. Data collection in the earth sciences is difficult and expensive. It requires special care to gather accurate geological information. Spatial simulation methodologies in the earth sciences are essential, then, if we want to understand the variability in features such as fracture frequencies, rock quality, and grain size distribution in rock and porous media. This book outlines in a detailed yet accessible way the main spatial modeling techniques, in particular the Kriging methodology. It also presents many unique physical approaches, field cases, and sample interpretations. Since Kriging’s origin in the 1960s it has been developed into a number of new methods such as cumulative SV (CSV), point CSV (PCSV), and spatial dependence function, which have been applied in different aspects of the earth sciences. Each one of these techniques is explained in this book, as well as how they are used to model earth science phenomena such as earthquakes, meteorology, and hydrology. In addition to Kriging and its variants, several alternatives to Kriging methodology are presented and the necessary steps in their applications are clearly explained. Simple spatial variation prediction methodologies are also revised with up-to-date literature, and the ways in which they relate to more advanced spatial modeling methodologies are explained. The book is a valuable resource for students, researchers and professionals of a broad range of disciplines including geology, geography, hydrology, meteorology, environment, image processing, spatial modeling and related topics. Prof. Dr. Zekai Sen is a researcher at the Istanbul Technical University, Turkey. His main interests are renewable energy (especially solar energy), hydrology, water resources, hydrogeology, hydrometeorology, hydraulics, philosophy of science, and science history. He ha…
  table of contents: Data Types and Logical Processing Methods -- Classical Spatial Variation Models -- Spatial Dependence Measures -- Spatial Modeling -- Spatial Simulation.
  note: by Zekai Sen.
  subject:
    topic: Geography
  subject:
    topic: Earth sciences
  subject:
    topic: Geology
  subject:
    topic: Geographical information systems
  subject:
    topic: Environmental sciences
  subject:
    topic: Geography
  subject:
    topic: Geographical Information Systems/Cartography
  subject:
    topic: Geology
  subject:
    topic: Earth Sciences, general
  subject:
    topic: Math. Appl. in Environmental Science
  classification: GA1-1776
  classification: 910.285
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781402096723
  identifier: http://dx.doi.org/10.1007/978-1-4020-9672-3
  record info:
    record creation date: 100301
    record change date: 20151204185144.0
    record identifier: 978-1-4020-9672-3