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

Preserving the Vernacular Postindust...

Arnold, John D. M.

FindBook

Google Book

Amazon

博客來

Preserving the Vernacular Postindustrial Landscape: Big Data Geospatial Approaches to Heritage Management and Interpretation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Preserving the Vernacular Postindustrial Landscape: Big Data Geospatial Approaches to Heritage Management and Interpretation./
作者:	Arnold, John D. M.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	159 p.
附註:	Source: Dissertations Abstracts International, Volume: 79-09, Section: A.
Contained By:	Dissertations Abstracts International79-09A.
標題:	Geographic information science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10642399
ISBN:	9780355630121

Preserving the Vernacular Postindustrial Landscape: Big Data Geospatial Approaches to Heritage Management and Interpretation.
Arnold, John D. M.

Preserving the Vernacular Postindustrial Landscape: Big Data Geospatial Approaches to Heritage Management and Interpretation. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 159 p.

Source: Dissertations Abstracts International, Volume: 79-09, Section: A.

Thesis (Ph.D.)--Michigan Technological University, 2017.

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

Redundant historical industrial sites, or postindustrial landscapes, face numerous preservation challenges. Functionally obsolete, and often derelict and decaying, these cultural landscapes often retain only a fraction of their original infrastructure. With their historical interconnections made indistinct by their physical separation and obscured by the passage of time, surviving remnants are isolated and disjunct, confounding both their legibility and their consideration for formal historic preservation. Nevertheless, they persist. This dissertation presents a theoretical understanding of the nature of postindustrial landscape preservation, and argues that the material persistence of its historical constituents is the result of previously overlooked processes of informal material conservation, here termed vernacular preservation. Further, this dissertation examines ways that heritage professionals can manage and interpret these vast, complex, and shattered landscapes, using 21st-century digital and spatial tools. Confronted by ongoing depopulation and divestment, and constrained by limited financial capacity to reverse the trend of blight and property loss, communities and individuals concerned with the preservation of vernacular postindustrial landscapes face many unique management and interpretation challenges. The successful heritagization of the postindustrial landscape depends on its comprehension, and communication, as a historically complex network of systems, and I argue that utilizing advanced digital and spatial tool such as historical GIS and procedural modeling can aid communities and heritage professionals in managing, preserving, and interpreting these landscapes. This dissertation presents heritage management and interpretation strategies that emphasize the historical, but now largely missing, spatial and temporal contexts of today's postindustrial landscape in Michigan's Copper Country. A series of case studies illustrates the demonstrated and potential value of using a big-data, longitudinally-linked digital infrastructure, or Historical GIS (HGIS), known as the Copper Country Historical Spatial Data Infrastructure (CC-HSDI), for heritage management and interpretation. These studies support the public education and conservation goals of the communities in this nationally-significant mining region through providing accessible, engaging, and meaningful historical spatiotemporal context, and by helping to promote and encourage the ongoing management and preservation of this ever-evolving postindustrial landscape.

ISBN: 9780355630121Subjects--Topical Terms:

3432445
Geographic information science.

Preserving the Vernacular Postindustrial Landscape: Big Data Geospatial Approaches to Heritage Management and Interpretation.
LDR:03737nmm a2200337 4500 001 2211023
005 20191126114021.5
008 201008s2017 ||||||||||||||||| ||eng d
020 $a 9780355630121
035 $a (MiAaPQ)AAI10642399
035 $a (MiAaPQ)michigantech:11408
035 $a AAI10642399
040 $a MiAaPQ $c MiAaPQ
100 1 $a Arnold, John D. M. $3 3438174
245 1 0 $a Preserving the Vernacular Postindustrial Landscape: Big Data Geospatial Approaches to Heritage Management and Interpretation.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 159 p.
500 $a Source: Dissertations Abstracts International, Volume: 79-09, Section: A.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Lafreniere, Don J.
502 $a Thesis (Ph.D.)--Michigan Technological University, 2017.
506 $a This item must not be sold to any third party vendors.
520 $a Redundant historical industrial sites, or postindustrial landscapes, face numerous preservation challenges. Functionally obsolete, and often derelict and decaying, these cultural landscapes often retain only a fraction of their original infrastructure. With their historical interconnections made indistinct by their physical separation and obscured by the passage of time, surviving remnants are isolated and disjunct, confounding both their legibility and their consideration for formal historic preservation. Nevertheless, they persist. This dissertation presents a theoretical understanding of the nature of postindustrial landscape preservation, and argues that the material persistence of its historical constituents is the result of previously overlooked processes of informal material conservation, here termed vernacular preservation. Further, this dissertation examines ways that heritage professionals can manage and interpret these vast, complex, and shattered landscapes, using 21st-century digital and spatial tools. Confronted by ongoing depopulation and divestment, and constrained by limited financial capacity to reverse the trend of blight and property loss, communities and individuals concerned with the preservation of vernacular postindustrial landscapes face many unique management and interpretation challenges. The successful heritagization of the postindustrial landscape depends on its comprehension, and communication, as a historically complex network of systems, and I argue that utilizing advanced digital and spatial tool such as historical GIS and procedural modeling can aid communities and heritage professionals in managing, preserving, and interpreting these landscapes. This dissertation presents heritage management and interpretation strategies that emphasize the historical, but now largely missing, spatial and temporal contexts of today's postindustrial landscape in Michigan's Copper Country. A series of case studies illustrates the demonstrated and potential value of using a big-data, longitudinally-linked digital infrastructure, or Historical GIS (HGIS), known as the Copper Country Historical Spatial Data Infrastructure (CC-HSDI), for heritage management and interpretation. These studies support the public education and conservation goals of the communities in this nationally-significant mining region through providing accessible, engaging, and meaningful historical spatiotemporal context, and by helping to promote and encourage the ongoing management and preservation of this ever-evolving postindustrial landscape.
590 $a School code: 0129.
650 4 $a Geographic information science. $3 3432445
650 4 $a Cultural Resources Management. $3 1672692
650 4 $a Architecture. $3 523581
690 $a 0370
690 $a 0436
690 $a 0729
710 2 $a Michigan Technological University. $b Social Sciences. $3 3279210
773 0 $t Dissertations Abstracts International $g 79-09A.
790 $a 0129
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10642399