Exploratory Analysis of Spatial and Temporal Data A Systematic Approach
📊 Exploratory Analysis of Spatial and Temporal Data – A Systematic Approach to Geo-Intelligence
“Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach” provides a deep dive into the statistical and visual methods used to uncover hidden patterns in space and time. Designed for researchers and advanced GIS analysts, this book focuses on understanding complex spatial-temporal datasets through interactive, iterative analysis.
It introduces tools and techniques such as spatial autocorrelation, temporal clustering, space-time cubes, anomaly detection, and data smoothing. Rather than jumping straight to modeling, it emphasizes the value of exploring the data visually and statistically to guide better decision-making.
This book is ideal for:
- 🧠 GIS analysts working with time-series or longitudinal data
- 📈 Data scientists exploring spatial statistics and dynamic trends
- 🏙️ Urban planners analyzing evolving land use or population shifts
- 🎓 Researchers in environmental science, epidemiology, and smart cities
Whether you’re tracking disease spread, monitoring urban growth, or analyzing climate variations, this book gives you the tools to reveal patterns, trends, and spatial behavior — before modeling even begins.
Keywords: Spatial Analysis, Temporal GIS, Exploratory Data Analysis, Space-Time Patterns, GIS Statistics, Spatiotemporal Modeling, Data Visualization, Spatial Autocorrelation
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