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Spatial Regression Models
Abstract
Spatial Regression Models illustrates the use of spatial analysis in the social sciences. The text includes sections that cover different modeling-related topics: mapping and making projections; doing exploratory spatial data analysis; working with models which have lagged endogenous right-handed side variables; using spatial error correction models; employing conditionally autoregressive models; and dealing with over-time panels exhibiting spatial structures. Each of the modeling-based discussions includes separate delineations of how to proceed when dealing with main variables that are quantitative as well as qualitative. In each section, the authors employ prominent and diverse examples, introducing readers to key literature in the field. The examples are presented along with relevant data and programs written in the R, which illustrate exactly how to undertake the analyses described. The book ends with a chapter that covers techniques for presenting spatial information.
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Cited by
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Sustained drought, vulnerability and civil conflict in Sub-Saharan Africa
von Uexkull, N. (2014) · Political Geography · doi:10.1016/j.polgeo.2014.10.003 · Cited by 149
Food environment and obesity: A systematic review and meta-analysis
Pineda, E., Stockton, J., Scholes, S., Lassale, C., & Mindell, J. S. (2024) · BMJ Nutrition, Prevention & Health · doi:10.1136/bmjnph-2023-000663 · Cited by 125
(2016) · doi:10.1037/pspp0000104 · Cited by 111
Measuring the Spatial and Temporal Patterns of Police Proactivity
Wu, X., & Lum, C. (2017) · Journal of Quantitative Criminology · doi:10.1007/s10940-016-9318-5 · Cited by 52
Metadata
- Authors
- Ward, M., & Gleditsch, K.
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 2008
- OpenAlex
- W4299426141
- Cited by
- 418
- References
- 0
- FWCI
- 27.59
- Type
- book
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
