Advances in Scalable and Intelligent Geospatial Analytics 1st Edition
Unlock the power of location with Advances in Scalable and Intelligent Geospatial Analytics, 1st Edition — a cutting-edge guide for anyone who works with spatial data. This authoritative volume brings together the latest methods in geospatial analytics, big spatial data processing, and geospatial AI to help you turn maps and sensors into actionable insight.
Explore practical, forward-looking approaches to scalable spatial computing: distributed GIS, cloud-native pipelines, spatio-temporal machine learning, remote sensing at scale, and real-time sensor analytics. Clear explanations link theory to practice, showing how advanced models and architectures improve accuracy and speed for tasks such as land-use classification, urban modeling, transportation optimization, environmental monitoring, and disaster response.
Written for data scientists, GIS professionals, researchers, planners, and decision-makers, this book emphasizes real-world impact across local, regional, and global settings. Learn how to architect systems that handle millions of geotagged records, apply deep learning to imagery, and visualize complex spatial patterns for stakeholders. Case-driven chapters demonstrate how scalable geospatial solutions support smart cities, precision agriculture, public health surveillance, and climate resilience.
Concise, yet comprehensive, this edition balances technical depth with practical guidance—ideal for those who need to implement robust location intelligence systems or stay ahead in geospatial research. Whether you’re optimizing a city’s transit network or building a global environmental model, this resource equips you with the methods and mindset to succeed.
Advance your geospatial capabilities today: add Advances in Scalable and Intelligent Geospatial Analytics, 1st Edition to your professional library and transform how you analyze, visualize, and apply spatial data.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.


