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Modeling the Multi-dimensional Facto...

Kennedy, Timothy T.

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Modeling the Multi-dimensional Factors of Parcelization and the Spatial Connection to Land-Use Change in Rural Wisconsin.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling the Multi-dimensional Factors of Parcelization and the Spatial Connection to Land-Use Change in Rural Wisconsin./
作者:	Kennedy, Timothy T.
面頁冊數:	290 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-01(E), Section: A.
Contained By:	Dissertation Abstracts International76-01A(E).
標題:	Geography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3636044
ISBN:	9781321174472

Modeling the Multi-dimensional Factors of Parcelization and the Spatial Connection to Land-Use Change in Rural Wisconsin.
Kennedy, Timothy T.

Modeling the Multi-dimensional Factors of Parcelization and the Spatial Connection to Land-Use Change in Rural Wisconsin. - 290 p.

Source: Dissertation Abstracts International, Volume: 76-01(E), Section: A.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2014.

Rural and peri-urban areas are vulnerable to land-use and land-cover change that stem from a variety of socioeconomic factors that push and pull from rural populations, regulatory factors that control land subdivision and land use combined with the draw of favorable geographical amenities such as lakes, forests and agriculture lands. Critical to our understanding of land-use change are the determination of the drivers and factors of parcelization, the subdivision of larger landholdings into smaller landholdings.

ISBN: 9781321174472Subjects--Topical Terms:

524010
Geography.

Modeling the Multi-dimensional Factors of Parcelization and the Spatial Connection to Land-Use Change in Rural Wisconsin.
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245 1 0 $a Modeling the Multi-dimensional Factors of Parcelization and the Spatial Connection to Land-Use Change in Rural Wisconsin.
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500 $a Source: Dissertation Abstracts International, Volume: 76-01(E), Section: A.
500 $a Advisers: Howard Veregin; James Burt.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2014.
520 $a Rural and peri-urban areas are vulnerable to land-use and land-cover change that stem from a variety of socioeconomic factors that push and pull from rural populations, regulatory factors that control land subdivision and land use combined with the draw of favorable geographical amenities such as lakes, forests and agriculture lands. Critical to our understanding of land-use change are the determination of the drivers and factors of parcelization, the subdivision of larger landholdings into smaller landholdings.
520 $a This dissertation focuses on three objectives. First, identify the social, economic, geographical/biophysical, and regulatory drivers and factors of parcelization and land-use change appropriate to the study area, publicly and freely available, and can be operationalized into a GIS compatible format. Second, construct a future parcelization probability model based on social, economic, geographical/biophysical and regulatory explanatory variables using a multiple logistic regression statistical model. Third, examine the spatial attraction between a parcelization event and land-use change to a residential developed state. This research uses a case study approach to examine working lands in three time periods between 1953 and 2007. Bayfield County, Wisconsin, provides a forested study area with an economic history of timber harvesting. Columbia County, Wisconsin, provides an agricultural study area with an economic history of farming, proximate to a major metropolitan urban area.
520 $a Results indicate that social, economic, geographical/biophysical, and regulatory factors in different ways contribute to parcelization in the study area. Many relationships between explanatory variables and a parcelization event were as expected, but some were not. Multiple logistic regression model fitness and explanatory power was robust in the first time period, but declined in the intermediate and final time period. The results suggest that the multi-dimensional explanatory variables captured in this study more robustly represent the drivers and factors of historic parcelization. New explanatory variables are needed to better explain contemporary parcelization. The spatial analysis of parcelization events and land-use change to a residential developed state indicate that parcelization and land-use change are co-located spatially, allowing researchers to examine parcelization as the salient precursor to land-use change to a residential developed state in similar areas.
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