Geospatial Data, Information, and Intelligence

• Main Authors: Jabbour, Aaron, Babiarz, Renny
• Format: eBook
• Language: English
• Published: Norwood, MA Artech 2023; Artech House; Artech House Publishers
• Edition: 1
• Subjects: Geospatial data-Research-Methodology; Spatial data mining
• ISBN: 1630819794; 9781630819798

This book provides practitioners with structured methods for transforming geospatial data into the useful information they need to solve some of the world’s most pressing problems. It spotlights the importance of location for human experience in the everyday world and introduces spatial th...

Table of Contents:

• 10.2 Visualizing the Next Geospatial Horizon -- 10.3 Location: A Central Feature of Our Future -- About the Authors -- Index
• 3.7 The Importance of People in the Geospatial Toolset -- 3.8 Conclusion -- References -- 4 The Geospatial Skill Set: Observation Principles -- 4.1 Introduction to Geospatial Observations -- 4.2 Defining Geospatial Observations -- 4.3 Geospatial Observations: Purpose and General Practice -- 4.4 Geospatial Observation Principles -- 4.4.1 Directed Observations: Collection Driven by Target Understanding -- 4.4.2 The Importance of Visualization -- 4.4.3 Optimizing Conditions: Focused Attention Improves Refinement -- 4.4.4 The Importance of Pairing Locations and Visualizations -- 4.4.5 Observational Uncertainty as a Default Position -- 4.4.6 Reference to Resolve -- 4.5 The Pitfalls of Visualization -- 4.5.1 Pitfalls of Geospatial Data: Imagery -- 4.5.2 Pitfalls of Geospatial Data on Maps -- 4.6 Conclusion -- References -- 5 The Geospatial Skill Set: Observation Practices -- 5.1 Introduction to Geospatial Observation Practices -- 5.2 SGOT -- 5.2.1 The Four Cornerstones for Observations -- 5.2.2 Slow Observations -- 5.2.3 Observational Perspective -- 5.2.4 Focal Point Control -- 5.2.5 Observational Reasoning -- 5.2.6 Observational Notations and Communications -- 5.2.7 Observation of Process Flows -- 5.2.8 Observable Keys -- 5.3 External Versus Internal Observations -- 5.4 Tradecraft Examples for Observation -- 5.4.1 Imagery-Based BAS -- 5.4.2 Geospatial Change Observation -- 5.5 Conclusion -- References -- 6 The Geospatial Skill Set: Analysis Principles -- 6.1 Introduction to Geospatial Analysis Principles -- 6.2 Defining Geospatial Analysis -- 6.3 The Purpose of Geospatial Analysis -- 6.4 Foundational Principles of Geospatial Analysis -- 6.4.1 Identification -- 6.4.2 Relation -- 6.4.3 Context -- 6.4.4 Uncertainty -- 6.5 Geospatial Analytic Methodologies -- 6.5.1 Imagery Analysis -- 6.5.2 Spatial Analysis -- 6.6 Conclusion -- References
• 7 The Skill Set: Geospatial Analysis Practices -- 7.1 Introduction to Geospatial Analysis Practices -- 7.2 Geospatial Analysis as a Profession: Imagery and Spatial Analysis Tradecraft -- 7.2.1 Imagery Analysis Tradecraft -- 7.2.2 Spatial Analysis Tradecraft -- 7.2.3 Merging Imagery and Spatial Analysis Tradecraft -- 7.3 SGATs -- 7.3.1 Find, Link, and Layer Locations -- 7.3.2 Analyzing Entities Using the Four Cornerstones -- 7.3.3 Analyzing for Relationships -- 7.3.4 Geospatial Analytic Reasoning -- 7.3.5 Analysis: Creating Observable Keys -- 7.3.6 Analysis for Geospatial Collection -- 7.3.7 Analytic Communications and Review -- 7.4 Conclusion -- References -- 8 The Geospatial Skill Set: Communication Principles -- 8.1 Introduction to Geospatial Communications Principles -- 8.2 Defining Geospatial Communication -- 8.3 Purpose of a Geospatial Communication -- 8.4 Geospatial Communication Principles -- 8.4.1 Knowing One's Audience and Purpose -- 8.4.2 Unfinished Versus Finished Geospatial Communications -- 8.4.3 Distillation of Communications -- 8.4.4 Communication Through Visualizations -- 8.4.5 Presentation -- 8.5 Foundations of a Finished Geospatial Communication -- 8.5.1 Location -- 8.5.2 Time -- 8.5.3 Entity -- 8.5.4 Sourcing -- 8.6 Conclusion -- 9 The Geospatial Skill Set: Communication Practices -- 9.1 Introduction to Geospatial Communications Practices -- 9.2 Structured Geospatial Communication Techniques -- 9.2.1 Distilling the Geospatial Communiction -- 9.2.2 Assessing the Audience -- 9.2.3 Writing -- 9.2.4 The Four Cornerstones for Geospatial Text -- 9.2.5 Graphics -- 9.2.6 Presentations -- 9.2.7 Communicating Uncertainty -- 9.2.8 Geospatial Confidence Communication -- 9.2.9 Building the Product -- 9.2.10 Multilayered Peer Review for Communication -- 9.3 Conclusion -- References -- 10 Outlook -- 10.1 Geospatial Advancement
• Geospatial Data, Information, and Intelligence -- Contents -- Foreword -- Preface -- Acknowledgments -- 1 Introduction to the Geospatial Mindset, Toolset, and Skill Set -- 1.1 The Case for Geospatial -- 1.1.1 Defining Geospatial and Related Terms -- 1.1.2 Delineating Geospatial Analysis: Spatial and Imagery -- 1.2 The Information Age -- 1.3 The Locational Data-to-Information Refinement Process -- 1.4 The Location Mindset -- 1.5 The Geospatial Toolset -- 1.6 The Geospatial Skill Set -- 1.7 Flourishing in the Information Age -- References -- 2 The Location Mindset -- 2.1 Introduction to the Location Mindset -- 2.1.1 Prioritization -- 2.1.2 Collection -- 2.1.3 Transformation -- 2.1.4 Visualization -- 2.1.5 Locations Are Widely Available -- 2.1.6 Geospatial Locations Are Universal -- 2.1.7 Locations Can Be Highly Accurate -- 2.1.8 The Electronic Grid -- 2.1.9 Location Initiates Geospatial Observations and Analysis -- 2.2 Using Spatial and Geospatial Thinking -- 2.2.1 Spatial Thinking: Definition -- 2.2.2 Spatial and Geospatial Thinking in History -- 2.2.3 Spatial Thinking: Purpose and Practice -- 2.2.4 Geospatial Thinking: Definition -- 2.2.5 Geospatial Thinking: Purpose and Practice -- 2.2.6 Improving Spatial and Geospatial Thinking Through Reasoning -- 2.3 Conclusion -- References -- 3 The Geospatial Toolset -- 3.1 Introduction to the Geospatial Toolset -- 3.2 Geospatial Data -- 3.2.1 Geospatial Data Background -- 3.2.2 Global Emphasis on Geospatial Data -- 3.2.3 Geospatial Data Categories -- 3.2.4 Geospatial Data: Embedded in Our Everyday -- 3.2.5 The Geospatial Data Setup -- 3.3 Geospatial Sensors -- 3.3.1 Machines: Remote Sensors -- 3.3.2 Machines: Direct Sensors -- 3.3.3 Human Collection of Location Data -- 3.4 Geospatial Systems -- 3.4.1 Geospatial Systems: A Recipe for Success -- 3.5 Geospatial Hardware -- 3.6 Geospatial Software