Spatial analysis : statistics, visualization, and computational methods /: statistics, visualization, and computational methods. (2015)

• Record Type: Book
• Further Information: Note: Tonny J. Oyana, Florence Margai.
• Authors: Oyana, Tonny J; Margai, Florence M
• Contents: The Context and Relevance of Spatial Analysis; From Data to Information, to Knowledge and Wisdom; Spatial Analysis Using a GIS Timeline; Geographic Data: Properties, Strengths, and Analytical; Challenges; Conclusion; Challenge Assignments; Review and Study Questions; Glossary of Key Terms; References; ; Scientific Observations and Measurements in Spatial Analysis ; Scales of Measurement; Population and Sample; Conclusion; Challenge Assignments; Review and Study Questions; Glossary of Key Terms; References; ; Using Statistical Measures to Analyze Data Distributions ; Descriptive Statistics; Spatial Statistics: Measures for Describing Basic Characteristics of Spatial Data; Spatial Measures of Central Tendency; Spatial Measures of Dispersion; Random Variables and Probability Distribution; Conclusion; Challenge Assignments; Review and Study Questions; Glossary of Key Terms; References; ; Exploratory Data Analysis, Visualization, and Hypothesis Testing ; Exploratory Data Analysis, Geovisualization, and Data; Visualization Methods; Exploratory Approaches for Visualizing Spatial Datasets; Visualizing Multidimensional Datasets: An Illustration Based on the US Educational Achievements Rates, 1970–2012; Hypothesis Testing, Confidence Intervals, and p Values; Computation; Statistical Conclusion; Conclusion; Challenge Assignments; Review and Study Questions; Glossary of Key Terms; References; ; Analyzing Spatial Statistical Relationships ; Engaging in Correlation Analysis; Ordinary Least Squares and Geographically Weighted Regression; Methods; Conclusion; Challenge Assignments; Review and Study Questions; Glossary of Key Terms; References; ; Engaging in Point Pattern Analysis ; Rationale for Studying Point Patterns and Distributions; Exploring Patterns, Distributions, and Trends Associated with Point Features; Conclusions; Challenge Assignments; Review and Study Questions; Glossary of Key Terms; References; ; Engaging in Areal Pattern Analysis Using Global and Local; Statistics ; Rationale for Studying Areal Patterns; The Notion of Spatial Relationships; Quantifying Spatial Autocorrelation Effects in Areal Patterns; Conclusions; Challenge Assignments; Review and Study Questions; Glossary of Key Terms; References; ; Engaging in Geostatistical Analysis ; Rationale for Using Geostatistics to Study Complex Spatial; Patterns; Basic Interpolation Equations; Spatial Structure Functions for Regionalized Variables; Kriging Method and its Theoretical Framework; Conditional Geostatistical Simulation; Inverse Distance Weighting; Conclusions; Challenge Assignments; Review and Study Questions; Glossary of Key Terms; References; ; Data Science: Understanding Computing Systems and Analytics for Big Data ; Introduction to Data Science; Rationale for a Big Geospatial Data Framework; Data Management; Analytics and Strategies for Big Geospatial Data; Conclusions; Challenge Assignments; Review and Study Questions; Glossary of Key Terms; References;
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2015
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 519.5; Spatial analysis (Statistics)
• Languages: English
• ISBNs: 9781498707640
• Related ISBNs: 9781498707633
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.