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SKU/Artículo: AMZ-B0FM442QT6

Geocomputation with R: Master Spatial Data Analysis, Mapping, and Modeling Using Open-Source Tools

Format:

Paperback

Kindle

Paperback

Detalles del producto

Disponibilidad:
En stock

Peso con empaque:
1.27 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

Disclaimer: The content of this book, including but not limited to the examples, code, and datasets, is provided for educational purposes only. Geocomputation with R: Master Spatial Data Analysis, Mapping, and Modeling Using Open-Source Tools is the ultimate guide for anyone looking to harness the power of R programming for geospatial analysis. Whether you're an aspiring geospatial analyst, urban planner, or environmental scientist, this comprehensive resource will equip you with the knowledge and hands-on experience needed to analyze and visualize spatial data effectively.In a world where geospatial data drives decisions in urban planning, climate science, public health, and sustainability, mastering spatial data science has never been more critical. What makes this book truly special is its approach—combining the technical depth of geospatial computation with the flexibility and power of R, one of the leading open-source programming languages. Here, you’ll learn everything from raster and vector data manipulation to spatial modeling and interactive mapping—all within the context of real-world applications. With step-by-step exercises, real case studies, and coding challenges, this book is designed to provide both theoretical understanding and practical expertise.By purchasing this book, you'll gain:Mastery in Geospatial Analysis: Understand the core concepts of geocomputation and spatial data types (vector, raster), as well as coordinate reference systems (CRS).Hands-on R Skills: Learn to use key R packages like sf, terra, and tmap to handle spatial data and perform complex analysis.Advanced Data Analysis: Dive deep into spatial regression, geostatistics, point pattern analysis, and spatial autocorrelation.Real-World Applications: Apply the techniques to practical problems, including land use change detection, urban heat islands, transport network analysis, and more.Interactive Mapping: Build Shiny apps and dashboards that allow users to interact with spatial data in real-time, bringing your analysis to life.This book is perfect for:Students and Academics: Anyone looking to develop a strong foundation in geospatial analysis, R programming, and spatial modeling.Professionals: Geospatial analysts, urban planners, environmental scientists, and data scientists eager to deepen their understanding of spatial data science.Beginners to Intermediate Learners: Whether you’re new to R or have some experience, this book’s practical approach makes it easy to follow and apply.What sets this book apart is its structured learning path, from foundational concepts to advanced techniques. Unlike other textbooks, "Geocomputation with R" doesn’t just teach you how to use R— it shows you how to apply real-world spatial analysis techniques to solve complex problems. You’ll get the best of both worlds: academic rigor combined with practical, hands-on experience.Don’t miss out on your opportunity to master spatial data analysis and become an expert in geospatial computation with R. Whether you're a student, professional, or simply someone passionate about spatial data, this book is your ticket to becoming proficient in the growing field of geospatial analytics.Buy now and begin your journey into geospatial computation—the future of data science, urban planning, and environmental management starts here!

AR$303.088

55% OFF

AR$137.766

AR$303.088

55% OFF

AR$137.766

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