Spatial Statistics and Analysis. Techniques and Applications

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.

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

Authors

Anzhelika Antipova Department of Earth Sciences, University of Memphis. 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.

Table of Contents

Authors

Related Topics

Related Products

Landslide Science. Geospatial Advances in Monitoring, Modeling, and Management

Intelligence Systems for Earth, Environmental and Planetary Sciences. Methods, Models and Applications

Remote Sensing, Big Data, and GeoAI. Exploring Applications with Geospatial Insights. Earth Observation

Computational Methods for Time-Series Analyses in Earth Sciences

Supervised Learning in Remote Sensing and Geospatial Science