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portada Introduction to Mathematical Techniques Used in GIS
Type
Physical Book
Publisher
Year
2025
Pages
346
Format
Hardcover
Dimensions
25.4x17.8 cm
ISBN13
9781032734729

Introduction to Mathematical Techniques Used in GIS

Gordon Ye;Peter Dale (Author) · CRC Press · Hardcover

Introduction to Mathematical Techniques Used in GIS - Gordon Ye;Peter Dale

New Book Imported to South Africa
Delivery: 09 Oct - 19 Oct Shipping: 5 to 6 business days.
R 3,743
R 3,743

Synopsis "Introduction to Mathematical Techniques Used in GIS"

Thoroughly updated and reorganized to focus more on applications and problem solving by mathematical techniques, this book explains the basic architecture of computing as it relates to GIS, includes new application examples of selected mathematical methods, and introduces 3D modeling, machine learning, and more.

GIS technology and applications have advanced as fast as computing technology to enhance business analytics, predictive modeling, virtual reality, and artificial intelligence. The third edition addresses these new topics of interest to students and practitioners who are using geographic information systems but have a limited mathematical background. Thoroughly updated and reorganized to focus more on applications and problem solving by mathematical techniques, this book explains the basic architecture of computing as it relates to GIS, includes new application examples of selected mathematical methods, and introduces 3D modeling, machine learning, and more.

 

Features

Explains the basic mathematics that underpins the manipulation of spatially related data and adds new technology direction such as machine learning.Builds logically step-by-step from simple basic assumptions to real world GIS applications to illustrate mathematical techniques covered in each chapter.Explains computing fundamentals including databases, and modeling techniques such as network modeling and topology overlay.Includes two new chapters focused on how computing relates to mathematics, and new popular applications of GIS which connect with data science and artificial intelligence.Prepares today’s GIS students who do not have STEM backgrounds to follow the thought processes behind the practice of GIS. 

This textbook is written for those who use global information systems and applications but have a limited mathematical background. It explains the mathematics behind the applications, making it an accessible book for both undergraduate and graduate students in GIS, Computer Science, Geography, and Geomatics.

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