Spatial Statistics and Analysis
Techniques and Applications
- 1st Edition - November 1, 2025
- Imprint: Academic Press
- Author: Anzhelika Antipova
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 4 8 0 0 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 4 8 0 1 - 6
Spatial Statistics and Analysis: Techniques and Applications provides a comprehensive exploration of the theoretical and foundational principles, as well as the applic… Read more
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Request a sales quoteSpatial Statistics and Analysis: Techniques and Applications provides a comprehensive exploration of the theoretical and foundational principles, as well as the applicational aspects of spatial statistics and analysis using the latest, most up-to-date data. It functions as a one-stop standalone resource for both instructors and undergraduate and graduate students using spatial analysis in geography and other earth sciences, as well as public health, engineering, urban and regional planning, criminal justice, epidemiology, and social sciences. Additionally, Spatial Statistics and Analysis: Techniques and Applications is also useful for postgraduate students, researchers, social science practitioners, policy makers, government organizations and those who wish to gain an insight into spatial data analysis. It begins with a clear introduction of the key terms and tools in spatial statistics. Following on from that, it progresses into scales of measurement in spatial analysis and using these to analyze data distributions. Through the provision of compelling hands-on exercises, the book navigates complex topics such as spatial dataset visualizations, spatial statistical relationships and correlation, point features distributions and point pattern analysis. From there, the book moves into areal features distributions and areal pattern analysis using global and local statistics as well as complex spatial patterns and geostatistical analysis. Lastly it delineates the theory of spatial error and uncertainty, and real-world application of Markov chains. This textbook incorporates supplementary resources in the form of instructional slides for teaching, key for lab activities, data sets and high-quality graphic illustrations for students and instructors.
- Covers the theoretical and practical aspects of spatial statistics and analysis in comprehensive depth by using case studies and methodological applications
- Functions as a one-stop source and provides detailed theoretical information and lab assignments using up to date resources
- Uses most current U.S. Census, environmental, and economic data for hands-on laboratory assignments for students
- Includes high-quality illustrations and PowerPoint slides for instructors, and a key for lab activities for both students and instructors
Students in undergraduate courses on spatial statistics and analysis
1. Introduction. The Role of Spatial Analysis
2. Using measurements in spatial analysis
3. Using statistical measures to analyze data distributions
4. Visualizing spatial datasets and exploratory data analysis
5. Studying spatial statistical relationships and correlation, OLS and GWR
6. Studying point features distributions and point pattern analysis
7. Studying areal features distributions and areal pattern analysis using global and local statistics
8. Studying complex spatial patterns and geostatistical analysis
9. Conclusion: More Advanced Topics
2. Using measurements in spatial analysis
3. Using statistical measures to analyze data distributions
4. Visualizing spatial datasets and exploratory data analysis
5. Studying spatial statistical relationships and correlation, OLS and GWR
6. Studying point features distributions and point pattern analysis
7. Studying areal features distributions and areal pattern analysis using global and local statistics
8. Studying complex spatial patterns and geostatistical analysis
9. Conclusion: More Advanced Topics
- Edition: 1
- Published: November 1, 2025
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780443248009
- eBook ISBN: 9780443248016
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Anzhelika Antipova
Dr.Anzhelika Antipova is an urban geographer with broad research interests in travel behavior and transportation, medical/health geography and wellbeing, and economic geography. She is using traditional statistical techniques, spatial statistics and analysis, and geographic information system (GIS) as tools in her research. Her work contributes to important techniques that can be applied by other researchers and practitioners towards their research objectives. She improved consistent criteria for employment delineation and job-rich areas (job center, sub-center, job cluster) and applied towards the Memphis Aerotropolis identification in Memphis, TN. She developed the Social Disadvantage Index (SDI) that can identify communities vulnerable to pandemics such as the COVID-19 based on the risk factors for severe disease outcomes. At the University of Memphis, she teaches Quantitative methods, Spatial Statistics, Urban Geography, Transportation geography, Economic and Social Geography and GIS, and Cultural geography.
Affiliations and expertise
Department of Earth Sciences, University of Memphis