Statistical Research Further Resources
Below are a few recommendations for resources worthy of further review related to statistical analysis. The list is starting out short, but it will grow. I hope the resources listed here will spur on your thinking and give you good ideas for application of the methods we cover in this course.
Please note:
Demsar, U., P. Harris, C. Brunsdon, A.S. Fotheringham, and S. McLoone (2013) Principal component analysis on spatial data: An overview. Annals of the Association of American Geographers 103(1), 106-128.
Ebdon, David (1991) Statistics in Geography: A Practical Approach, 2nd Edition. New York: Wiley-Blackwell.
Griffith, Daniel A., and Carl Amrhein (1990) Statistical Analysis for Geographers. New York: Prentice Hall.
Haining, R.P., R. Kerry, and M.A. Oliver (2010) Geography, spatial data analysis, and geostatistics: An overview. Geographical Analysis 42(1), 7-31.
Institute for Digital Research and Education (2013) Annotated Output. Los Angeles: UCLA Statistics Consulting Group. (this page provides a very helpful set of annotations for output from SPSS and other statistical packages).
Lawley, D.N., and A.E. Maxwell (1962) Factor analysis as a statistical method. Journal of the Royal Statistical Society, Series D 12(3), 209-229.
McGrew, J. Chapman, and Charles B. Monroe (2009) An Introduction to Statistical Problem Solving in Geography. Long Grove, IL: Waveland Press.
Rogerson, Peter (2010) Statistical Methods for Geography: A Student's Guide. Thousand Oaks, CA: SAGE Publications.
Tenenbaum, H., and N.M. Waters (2011) Spatial patterns of subprime mortgages by local banks, nonlocal banks, and independents in the continental US. Environment and Planning A 43(8), 1761-1778.
Please note:
- Links related to articles published in academic journals direct you to a journal website. In these cases, if you are accessing this course website from a UNT computer, you will be able to download, read, and save a PDF version of the reading.
- Links related to books direct you to an Amazon link that provides full information on the book. I am not suggesting that you need to buy these books, or that Amazon is the best place to purchase if you do wish to buy the book. However, these book links provide a helpful summary of full bibliographic information on each volume. You might find these volumes in our UNT library or other local sources.
Demsar, U., P. Harris, C. Brunsdon, A.S. Fotheringham, and S. McLoone (2013) Principal component analysis on spatial data: An overview. Annals of the Association of American Geographers 103(1), 106-128.
Ebdon, David (1991) Statistics in Geography: A Practical Approach, 2nd Edition. New York: Wiley-Blackwell.
Griffith, Daniel A., and Carl Amrhein (1990) Statistical Analysis for Geographers. New York: Prentice Hall.
Haining, R.P., R. Kerry, and M.A. Oliver (2010) Geography, spatial data analysis, and geostatistics: An overview. Geographical Analysis 42(1), 7-31.
Institute for Digital Research and Education (2013) Annotated Output. Los Angeles: UCLA Statistics Consulting Group. (this page provides a very helpful set of annotations for output from SPSS and other statistical packages).
Lawley, D.N., and A.E. Maxwell (1962) Factor analysis as a statistical method. Journal of the Royal Statistical Society, Series D 12(3), 209-229.
McGrew, J. Chapman, and Charles B. Monroe (2009) An Introduction to Statistical Problem Solving in Geography. Long Grove, IL: Waveland Press.
Rogerson, Peter (2010) Statistical Methods for Geography: A Student's Guide. Thousand Oaks, CA: SAGE Publications.
Tenenbaum, H., and N.M. Waters (2011) Spatial patterns of subprime mortgages by local banks, nonlocal banks, and independents in the continental US. Environment and Planning A 43(8), 1761-1778.
© Murray D. Rice. All rights reserved.