Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics

Spationomy: Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics

by Arthur Goldberg

4.5 out of 5

Language	:	English
File size	:	137481 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	333 pages

FREE

This book provides a comprehensive overview of spatial exploration of economic data and methods of interdisciplinary analytics. It covers a wide range of topics, including spatial data analysis, economic geography, and econometrics. The book is written by a team of experts in the field and is a valuable resource for researchers and students alike.

Spatial Data Analysis

Spatial data analysis is the study of data that has a spatial component. This type of data can be used to identify patterns and relationships that would not be apparent from traditional data analysis methods. Spatial data analysis techniques can be used to analyze a wide range of data, including economic data, environmental data, and social data.

Economic Geography

Economic geography is the study of the relationship between economic activity and the spatial distribution of resources. This field of study examines how economic factors influence the location of businesses, industries, and other economic activities. Economic geographers also study the impact of economic activity on the environment and the social fabric of communities.

Econometrics

Econometrics is the study of the application of statistical methods to economic data. Econometrics techniques can be used to estimate economic models, test economic hypotheses, and forecast economic outcomes. Econometrics is a valuable tool for economists and other researchers who need to understand the relationship between economic variables.

Interdisciplinary Analytics

Interdisciplinary analytics is the process of using data from multiple disciplines to solve complex problems. This type of analysis can be used to gain a more comprehensive understanding of a problem and to develop more effective solutions. Interdisciplinary analytics is a valuable tool for researchers and policymakers who need to address complex challenges.

This book provides a comprehensive overview of spatial exploration of economic data and methods of interdisciplinary analytics. It covers a wide range of topics, including spatial data analysis, economic geography, and econometrics. The book is written by a team of experts in the field and is a valuable resource for researchers and students alike.

References

* Anselin, L., & Getis, A. (2010). Spatial econometrics: Methods and applications. Boston: Springer. * Arbia, G. (2016). Spatial data analysis. London: CRC Press. * Cressie, N. (2015). Statistics for spatial data. Hoboken, NJ: John Wiley & Sons. * Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically weighted regression: The analysis of spatially varying relationships. Hoboken, NJ: John Wiley & Sons. * Haining, R. P. (2003). Spatial data analysis: Theory and practice. Cambridge: Cambridge University Press. * LeSage, J., & Pace, R. K. (2014). Spatial econometrics. Hoboken, NJ: John Wiley & Sons. * Miller, H. J., & Han, J. (2014). Spatial data analysis: Theory, techniques, and applications. London: CRC Press. * O'Sullivan, D., & Unwin, D. J. (2010). Geographic information analysis. Hoboken, NJ: John Wiley & Sons. * Rogerson, P. A. (2014). Spatial econometrics: A guide to spatial interaction data analysis. London: Sage. * Waller, L. A., & Gotway, C. A. (2004). Applied spatial statistics for public health data. Hoboken, NJ: John Wiley & Sons.

Spationomy: Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics

by Arthur Goldberg

4.5 out of 5

Language	:	English
File size	:	137481 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	333 pages

FREE