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Constructing spatial weight matrix u...

Yu, Weiming.

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Constructing spatial weight matrix using local spatial statistics and its applications.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Constructing spatial weight matrix using local spatial statistics and its applications./
Author:	Yu, Weiming.
Description:	82 p.
Notes:	Source: Masters Abstracts International, Volume: 50-03, page: 1798.
Contained By:	Masters Abstracts International50-03.
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1502802
ISBN:	9781267062185

Constructing spatial weight matrix using local spatial statistics and its applications.
Yu, Weiming.

Constructing spatial weight matrix using local spatial statistics and its applications. - 82 p.

Source: Masters Abstracts International, Volume: 50-03, page: 1798.

Thesis (M.S.)--Mississippi State University, 2011.

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.

ISBN: 9781267062185Subjects--Topical Terms:

517247
Statistics.

Constructing spatial weight matrix using local spatial statistics and its applications.
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020 $a 9781267062185
035 $a (MiAaPQ)AAI1502802
035 $a AAI1502802
040 $a MiAaPQ $c MiAaPQ
100 1 $a Yu, Weiming. $3 2101947
245 1 0 $a Constructing spatial weight matrix using local spatial statistics and its applications.
300 $a 82 p.
500 $a Source: Masters Abstracts International, Volume: 50-03, page: 1798.
500 $a Adviser: Zhaofei Fan.
502 $a Thesis (M.S.)--Mississippi State University, 2011.
520 $a 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.
590 $a School code: 0132.
650 4 $a Statistics. $3 517247
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
690 $a 0463
690 $a 0478
710 2 $a Mississippi State University. $b Forestry. $3 1023727
773 0 $t Masters Abstracts International $g 50-03.
790 $a 0132
791 $a M.S.
792 $a 2011
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1502802