Spatial Statistics and Analysis
Techniques and Applications
Will be published approx. on 8. January 2026
Book
Paperback/Softback
500 pages
978-0-443-24800-9 (ISBN)
Description
Spatial Statistics and Analysis: Techniques and Applications is an essential resource for anyone interested in the theory and application of spatial statistics. This comprehensive text delves into the principles, tools, and methods used in spatial analysis, making it invaluable for undergraduate and graduate students, researchers, and professionals across various fields including geography, public health, engineering, and social sciences. With hands-on exercises, the book guides readers through complex topics and ensures a deep understanding of spatial data analysis. In addition to covering key terms and tools, this valuable resource explores scales of measurement, data distributions, and spatial dataset visualizations.
Other sections examine spatial statistical relationships, point and areal pattern analysis, complex spatial patterns, and geostatistical analysis. The text also addresses spatial error and uncertainty and includes practical applications of Markov chains. Supplementary resources such as instructional slides, lab activities, data sets, and graphic illustrations are provided to aid both teaching and learning.
Other sections examine spatial statistical relationships, point and areal pattern analysis, complex spatial patterns, and geostatistical analysis. The text also addresses spatial error and uncertainty and includes practical applications of Markov chains. Supplementary resources such as instructional slides, lab activities, data sets, and graphic illustrations are provided to aid both teaching and learning.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 190 mm
Thickness: 19 mm
Weight
712 gr
ISBN-13
978-0-443-24800-9 (9780443248009)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
03/2026
Elsevier
€75.99
Available for download
Person
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.
Content
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