Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Fan, Zhaofei
Committee Member
Sun, Changyou
Committee Member
Cooke III, Wiliam H.
Date of Degree
12-9-2011
Document Type
Graduate Thesis - Open Access
Major
Forestry
Degree Name
Master of Science
College
College of Forest Resources
Department
Department of Forestry
Abstract
In this study, we extend the spatial weight matrix defined by Getis and Aldstadt (2004) to a more general case. The modified spatial weight matrix performs better than the original spatial weight matrix since the modified spatial weight matrix adjusts weights of observations based on the distance from other observations. Both the simulation study and the application to the ecological process of invasion of non-native invasive plants (NNIPs) provide evidences for the better performance of the modified spatial weight matrix. We also develop procedures that can be used to quantify the invasion stages of NNIPs. The resultant map of invasion stage on county-level provides a useful and meaningful tool for policy makers; especially, it can be used to optimize allocation of management resources. The result of simultaneous autoregressive model shows that not only the biotic and abiotic factors but also human activities play an important role in the establishment and spread of multiflora rose in the Upper Midwest. It also shows the tendency of the establishment and spread of multiflora rose (Rosa Multiflora, Thunb. ex Murr.) in the Upper Midwest.
URI
https://hdl.handle.net/11668/17240
Recommended Citation
Yu, Weiming, "Constructing Spatial Weight Matrix Using Local Spatial Statistics And Its Applications" (2011). Theses and Dissertations. 1164.
https://scholarsjunction.msstate.edu/td/1164