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The Real Estate Collection

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To access or cite this collection:
http://digital.library.wisc.edu/1711.dl/RealEstate

About the Real Estate Collection

About The Real Estate Collection

The Real Estate Collection is intended to provide online access to scholarly research, teaching materials and examples of commercial work in real estate done by celebrated University of Wisconsin professor James A. Graaskamp and others.

It is hoped that the search features of the Real Estate Collection will be a convenient aid to scholarship and study. Both the individual titles and the collection as a whole can be browsed and searched by keyword. Users are advised to consult the table of contents and indexes in individual works to conduct a thorough search for specific information in the texts.


More Information about Selected Subcollections

James Graaskamp Landmark Research Collection
http://digital.library.wisc.edu/1711.dl/RealEstate.Graaskamp

James Graaskamp Landmark Research Collection James Graaskamp taught real estate at the UW-Madison from 1964 to 1988 and was chairman of the Real Estate Department from 1968 until his untimely death in 1988. This digital collection contains over 165 of Landmark Research’s consulting reports completed between the late 1960s to the early 1990s. There are appraisals, market and feasibility studies as well as other types of research and analysis. The collection provides a sampling of the extraordinary work of this truly remarkable man.

Related Resources

Technical Note

Please note that full-text searching for the electronic-facsimile texts in our collections is based on uncorrected OCR (Optical Character Recognition) results. While such text is often highly accurate, it will contain errors that may affect your search results. In particular, texts with the following characteristics are particularly prone to error (in some cases, accuracy for such texts is so low that we have decided not to attempt to provide full-text searching):

  • Hand-written texts;
  • Texts that contain diacritics;
  • Texts that contain non-Latin scripts;
  • Texts that contain obsolete characters (including the "long S" [looks like an "f"]);
  • Texts that are printed in a font in which the letters are difficult for the software to differentiate.