東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Land use/land cover change modeling:...

Myers, Seth J.

FindBook

Google Book

Amazon

博客來

Land use/land cover change modeling: Investigation of calibration methods and the influence of income on physical constraints to development at multiple spatial scales.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Land use/land cover change modeling: Investigation of calibration methods and the influence of income on physical constraints to development at multiple spatial scales./
作者:	Myers, Seth J.
面頁冊數:	148 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
Contained By:	Dissertation Abstracts International75-07B(E).
標題:	Ecology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3614773
ISBN:	9781303804151

Land use/land cover change modeling: Investigation of calibration methods and the influence of income on physical constraints to development at multiple spatial scales.
Myers, Seth J.

Land use/land cover change modeling: Investigation of calibration methods and the influence of income on physical constraints to development at multiple spatial scales. - 148 p.

Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.

Thesis (Ph.D.)--State University of New York College of Environmental Science and Forestry, 2013.

This item must not be sold to any third party vendors.

Land use/cover change (LULCC) is a well-documented and globally significant ecological trend. These changes are a significant way that humans influence terrestrial, atmospheric, and aquatic environments. Given rising concerns about both local and global sustainability the degree to which we can understand better the dynamics and drivers of LULCC, the greater will be our ability to manage the landscape for optimal use by all species. LULCC modeling is the tool most often used to assess past and project future change; however, LULCC models often have low predictive accuracy. This may be due to lack of: adequate model methodology and calibration, understanding of the importance of one independent variable over another in explaining the spatial pattern of transition, accounting for spatial autocorrelation in data inputs, accounting for the interaction of independent variables, and accounting for fine scale decision making (at the pixel level) in modeling large scale patterns of transition, such as sprawl. The objectives of the three manuscripts developed for this dissertation were to address these issues. The model employed in the first and second manuscripts is the popular GEOMOD. In the first manuscript, I test the predictive power of a direct search optimization method (DSO), applied to analysis of LULCC in western Connecticut, versus three other methods (median value, principal component weights, and equal weights) of calibration that have been used in previous GEOMOD applications. In the second, I compare DSO results to objective benchmarks using Monte Carlo simulation, and in the third I investigate probability and pattern of development at two spatial scales using generalized linear mixed and generalized linear models. The tests I proposed rendered support for all hypotheses, and offer promising improvements to not only GEOMOD, but to the field of land change modeling in general. My results enhance calibration, validation, analysis, and prediction at several spatial scales and offer a better means of assessing confidence in model projections, something that is desired by the decision making public who are relying on LULCC models to assess possible future landscape development alternatives and their socio-economic-ecological consequences.

ISBN: 9781303804151Subjects--Topical Terms:

516476
Ecology.

Land use/land cover change modeling: Investigation of calibration methods and the influence of income on physical constraints to development at multiple spatial scales.
LDR:03404nmm a2200301 4500 001 2060890
005 20150918092337.5
008 170521s2013 ||||||||||||||||| ||eng d
020 $a 9781303804151
035 $a (MiAaPQ)AAI3614773
035 $a AAI3614773
040 $a MiAaPQ $c MiAaPQ
100 1 $a Myers, Seth J. $3 3175088
245 1 0 $a Land use/land cover change modeling: Investigation of calibration methods and the influence of income on physical constraints to development at multiple spatial scales.
300 $a 148 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
500 $a Advisers: Myrna H. Hall; Charles A. Hall.
502 $a Thesis (Ph.D.)--State University of New York College of Environmental Science and Forestry, 2013.
506 $a This item must not be sold to any third party vendors.
520 $a Land use/cover change (LULCC) is a well-documented and globally significant ecological trend. These changes are a significant way that humans influence terrestrial, atmospheric, and aquatic environments. Given rising concerns about both local and global sustainability the degree to which we can understand better the dynamics and drivers of LULCC, the greater will be our ability to manage the landscape for optimal use by all species. LULCC modeling is the tool most often used to assess past and project future change; however, LULCC models often have low predictive accuracy. This may be due to lack of: adequate model methodology and calibration, understanding of the importance of one independent variable over another in explaining the spatial pattern of transition, accounting for spatial autocorrelation in data inputs, accounting for the interaction of independent variables, and accounting for fine scale decision making (at the pixel level) in modeling large scale patterns of transition, such as sprawl. The objectives of the three manuscripts developed for this dissertation were to address these issues. The model employed in the first and second manuscripts is the popular GEOMOD. In the first manuscript, I test the predictive power of a direct search optimization method (DSO), applied to analysis of LULCC in western Connecticut, versus three other methods (median value, principal component weights, and equal weights) of calibration that have been used in previous GEOMOD applications. In the second, I compare DSO results to objective benchmarks using Monte Carlo simulation, and in the third I investigate probability and pattern of development at two spatial scales using generalized linear mixed and generalized linear models. The tests I proposed rendered support for all hypotheses, and offer promising improvements to not only GEOMOD, but to the field of land change modeling in general. My results enhance calibration, validation, analysis, and prediction at several spatial scales and offer a better means of assessing confidence in model projections, something that is desired by the decision making public who are relying on LULCC models to assess possible future landscape development alternatives and their socio-economic-ecological consequences.
590 $a School code: 0213.
650 4 $a Ecology. $3 516476
650 4 $a Land use planning. $3 2122760
650 4 $a Environmental science. $3 677245
690 $a 0329
690 $a 0536
690 $a 0768
710 2 $a State University of New York College of Environmental Science and Forestry. $b Environmental and Forest Biology. $3 3175089
773 0 $t Dissertation Abstracts International $g 75-07B(E).
790 $a 0213
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3614773