Geospatial Data Science Techniques and Applications Book [PDF] Download

Download the fantastic book titled Geospatial Data Science Techniques and Applications written by Hassan A. Karimi, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Geospatial Data Science Techniques and Applications", which was released on 24 October 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Geospatial Data Science Techniques and Applications by Hassan A. Karimi PDF

Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others) and engineers (from all fields including civil, environmental, chemical, mechanical, among others) are faced with challenges posed by data volume, variety, and velocity, or Big Data. This book is designed to highlight the unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw geospatial data, and present select state-of-the-art geospatial data science techniques and how they are applied to various geoscience problems.


Detail About Geospatial Data Science Techniques and Applications PDF

  • Author : Hassan A. Karimi
  • Publisher : CRC Press
  • Genre : Computers
  • Total Pages : 258 pages
  • ISBN : 1351855999
  • PDF File Size : 9,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Geospatial Data Science Techniques and Applications

Geospatial Data Science Techniques and Applications
  • Publisher : CRC Press
  • File Size : 20,9 Mb
  • Release Date : 24 October 2017
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Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others)

Geospatial Data Science Techniques and Applications

Geospatial Data Science Techniques and Applications
  • Publisher : Unknown Publisher
  • File Size : 24,8 Mb
  • Release Date : 20 May 2024
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"Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others)

Data Science Concepts and Techniques with Applications

Data Science Concepts and Techniques with Applications
  • Publisher : Springer Nature
  • File Size : 28,7 Mb
  • Release Date : 02 April 2023
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This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other

Geospatial Data Science Quick Start Guide

Geospatial Data Science Quick Start Guide
  • Publisher : Packt Publishing Ltd
  • File Size : 52,9 Mb
  • Release Date : 31 May 2019
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Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems Key FeaturesManipulate location-based data and create intelligent geospatial data modelsBuild effective location recommendation systems used

Applied Spatial Data Analysis with R

Applied Spatial Data Analysis with R
  • Publisher : Springer Science & Business Media
  • File Size : 54,9 Mb
  • Release Date : 21 June 2013
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Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is

Big Data

Big Data
  • Publisher : CRC Press
  • File Size : 24,9 Mb
  • Release Date : 18 February 2014
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Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are

Geospatial Health Data

Geospatial Health Data
  • Publisher : CRC Press
  • File Size : 35,6 Mb
  • Release Date : 26 November 2019
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Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure

Data Mining for Geoinformatics

Data Mining for Geoinformatics
  • Publisher : Springer Science & Business Media
  • File Size : 39,7 Mb
  • Release Date : 16 August 2013
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The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on