Spatial Modeling Principles In Earth Sciences
by Zekai Sen /
2009 / English / PDF
7 MB Download
Spatial Modeling Principles in Earth Sciences presents fundamentals
of spatial data analysis used in hydrology, geology, meteorology,
atmospheric science and related fields. It examines methods for the
quantitative determination of the spatial distribution patterns.
This book brings together the material from the current literature
in earth sciences and practical examples. It provides a sound
background of philosophical, logical, rational and physical
principles of spatial data and analysis, and explains how it can be
modeled and applied in earth sciences projects and designs. It
collects information not previously available in one source, and
provides methodology for the treatment of spatial data to find the
most rational and practical solution. The book is a valuable
resource for students, researchers and practitioners of a broad
range of disciplines including geology, geography, hydrology,
meteorology, environment, image processing, spatial modeling and
related topics.
Spatial Modeling Principles in Earth Sciences presents fundamentals
of spatial data analysis used in hydrology, geology, meteorology,
atmospheric science and related fields. It examines methods for the
quantitative determination of the spatial distribution patterns.
This book brings together the material from the current literature
in earth sciences and practical examples. It provides a sound
background of philosophical, logical, rational and physical
principles of spatial data and analysis, and explains how it can be
modeled and applied in earth sciences projects and designs. It
collects information not previously available in one source, and
provides methodology for the treatment of spatial data to find the
most rational and practical solution. The book is a valuable
resource for students, researchers and practitioners of a broad
range of disciplines including geology, geography, hydrology,
meteorology, environment, image processing, spatial modeling and
related topics.











