GIS-integrated mathematical modeling of social phenomena at macro- and micro- levels—a multivariate geographically-weighted regression model for identifying locations vulnerable to hosting terrorist safe-houses: France as case study

Chicago citation style
Eisman, Elyktra. GIS-integrated mathematical modeling of social phenomena at macro- and micro- levels—a multivariate geographically-weighted regression model for identifying locations vulnerable to hosting terrorist safe-houses: France as case study. 2015-11-13. Retrieved from the Digital Public Library of America, https://digitalcommons.fiu.edu/etd/2261. (Accessed March 29, 2024.)
APA citation style
Eisman, Elyktra, (2015-11-13) GIS-integrated mathematical modeling of social phenomena at macro- and micro- levels—a multivariate geographically-weighted regression model for identifying locations vulnerable to hosting terrorist safe-houses: France as case study. Retrieved from the Digital Public Library of America, https://digitalcommons.fiu.edu/etd/2261
MLA citation style
Eisman, Elyktra. Retrieved from the Digital Public Library of America <https://digitalcommons.fiu.edu/etd/2261>.
Note: These citations are programmatically generated and may be incomplete.