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230620252
The Complete GeoAI Guide: Master Python, GIS, and Machine Learning for Real-World Spatial Data Analysis and Geospatial Intelligence
Item #:
230620252
ZAR 854
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Product Details
- The Complete GeoAI Guide provides a practical, step-by-step path into the rapidly growing field of GeoAI by combining Python programming, GIS workflows, machine learning, remote sensing, and real-world geospatial intelligence systems into one hands-on resource.This book is designed for:GIS professionals,developers,analysts,researchers,environmental scientists,students,and technology enthusiastswho want to understand how modern AI systems are applied to geographic and spatial data.Inside the book, you will learn how to:work with vector and raster geospatial datasets,process satellite imagery,build spatial machine learning models,perform predictive spatial analysis,develop deep learning workflows for remote sensing,analyze environmental and urban patterns,create land cover classification systems,build flood-detection and urban-growth prediction projects,deploy GeoAI applications using APIs and dashboards,and understand the future of AI-powered geospatial intelligence.Unlike overly theoretical resources, this guide focuses heavily on practical implementation using modern Python-based tools and real-world GeoAI workflows. Concepts are explained clearly and progressively so that both beginners and intermediate learners can follow along confidently.By the end of this book, you will have a strong understanding of how GeoAI systems are built, trained, deployed and applied across industries such as environmental monitoring, disaster response, urban planning, agriculture, transportation, and smart-city infrastructure.Whether your goal is to enter the GeoAI field, strengthen GIS and AI skills, or build intelligent geospatial applications from scratch, this book provides the practical foundation needed to start building real-world spatial intelligence systems with confidence.
| Publisher | Independently published |
| Publication date | May 4, 2026 |
| Language | English |
| Print length | 396 pages |
| ISBN-13 | 979-8195471859 |
| Item Weight | 2.56 pounds (1.16 kg) |
| Dimensions | 8.27 x 0.9 x 11.69 inches (21 x 2.3 x 29.7 cm) |
Who Should Buy?
-
Aspiring Data Scientists
This guide provides essential skills to analyze geospatial data using Python and machine learning techniques effectively.
-
GIS Professionals
Enhance your GIS skills with machine learning applications to improve geospatial data interpretation and modeling workflows.
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Researchers in Geospatial Fields
Ideal for academic researchers looking to integrate machine learning with GIS for advanced spatial analysis projects.
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Beginner Coders
Individuals without prior programming experience may struggle with the technical content and concepts presented in the guide.
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