IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Statistical Approaches in GIS-Based Techniques for Sustainable Planning: Kayaçukuru Case

Listed author(s):
  • Aygun Erdogan


The purpose of this study is to make both a summary and additional descriptive and inferential statistical analyses for a completed thesis on "Sustainable/Environment Friendly Development Planning of Fethiye-Kayaçukuru Using GIS-Based Techniques" (M.Sc. in the Graduate School of Geodetic and Geographic Information Technologies, Middle East Technical University, Supervisor: Assoc.Prof.Dr. Oğuz Işık, September 2000, 214 pages). The statistical analyses explained in this paper comprise a part of the whole GIS-based techniques developed for a case study about Fethiye-Kayaçukuru Plain to explore the contributions of such an approach. In this respect, first, the study area, spatial and non-spatial data and the way they are handled are introduced. Then, the performed statistical descriptive and predictive analyses/models and their interpretations in the developed "loose-coupled" "decision/planning support system" are mentioned. Finally, the concluding remarks of the study are discussed emphasising the contributions of this approach in the sustainable/environment friendly development planning and in particular for the Plain. Keywords: Sustainable/environment friendly development, decision/planning support system, non-spatial and spatial statistical analyses, statistical testing, modelling.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa03p24.

in new window

Date of creation: Aug 2003
Handle: RePEc:wiw:wiwrsa:ersa03p24
Contact details of provider: Postal:
Welthandelsplatz 1, 1020 Vienna, Austria

Web page:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa03p24. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.