Abstract
Landscape structure variables, derived from landscape ecology theory, are widely used in ecological studies. Fifteen landscape indices, organized into four groups – size, complexity, diversity, neighborhood - are computed for each of the 1,763 Traffic Analysis Zones in the seven-county Columbus, Ohio Metropolitan Area (CMA), using Fragstats and GIS. Urban morphology study is first presented, and regression models are estimated for each landscape index as a function of distances to the major metropolitan area central business districts (CBDs). Multiple functional forms have been tested for the models. Overall, the results provide evidence of the importance of role of CBDs on the landscape structure. CBDs significantly impact landscape indices in most cases.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
