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Urban geospatial digital neighborhood areas

Descriptive

TitleInfo
Title
Urban geospatial digital neighborhood areas
SubTitle
urban GeoDNA
Name (type = personal)
NamePart (type = family)
Graziosi
NamePart (type = given)
Giovani H.
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Giovani Graziosi
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author
Name (type = personal)
NamePart (type = family)
Wiggins
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Lyna
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Lyna Wiggins
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Advisory Committee
Role
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chair
Name (type = personal)
NamePart (type = family)
Holcomb
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Briavel
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Briavel Holcomb
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Advisory Committee
Role
RoleTerm (authority = RULIB)
co-chair
Name (type = personal)
NamePart (type = family)
Newman
NamePart (type = given)
Kathe
DisplayForm
Kathe Newman
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Miyares
NamePart (type = given)
Ines
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Ines Miyares
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2012
DateOther (qualifier = exact); (type = degree)
2012-01
CopyrightDate (qualifier = exact)
2012
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
This dissertation examines the dynamics of Urban Geospatial Digital Neighborhood Areas (Urban GeoDNA) and their impacts on local information discovery. It analyzes the demand and supply sides of information from a community perspective to understand how variations in local boundary definitions condition the quantity and quality of informational resources users can discover through digital libraries to plan urban neighborhood environments. Primary data obtained through interviews with bottom-up participants from local Community Based Organizations (CBOs) and libraries are combined with secondary data gathered from a variety of top-down sources including federal, state and city agencies. These datasets are analyzed using a series of Geographic Information System (GIS) processes and results are loaded into a final GeoDNA database developed according to current Geospatial Information and Mapping Policies (GIPMs). Using a selected set of seven neighborhoods in Bronx County, NY, the study integrates top-down and bottom-up boundary definitions to test the role urban GeoDNA plays for discovering local information by online users to conduct community development and environmental planning activities. Specifically, the research compares three different neighborhood boundary versions to assess their effects on the quality and quantity of local information users can discover through digital libraries geospatially. In addition, a group of socio-demographic variables at the census tract level are examined to determine if such boundary variations are related not only to information discoverability but also to the characteristics found within different types of neighborhoods. Finally, the study evaluates the use of combining top-down with bottom-up geospatial information by appending the different neighborhood boundary files gathered for the research and testing their aggregate usability to discover relevant resources with which to conduct planning activities at the local level. Results from the study suggest that, by combining geospatial definitions from top-down and bottom-up sources, new and extended neighborhood boundaries can be created and used to georeference local resources without altering the ranking of materials found through geospatial searches. Therefore, an aggregate boundary approach can be used to enrich the fundamental essence of urban GeoDNA materials to allow users to discover information that carries both geographical and ontological knowledge about local neighborhoods simultaneously. The study also provides insights for community users to become more proactively involved in the dissemination of local knowledge because, by publishing metadata about their studies, reports and other resources with aggregate geospatial definitions, the chances for their discovery are increased. Moreover, the study contributes to the growing body of literature on Public Participatory GIS (PPGIS) by expanding the opportunities community participants have to send local information from the ground up to make them discoverable in a geolibrary environment.
Subject (authority = RUETD)
Topic
Geography
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_3380
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note
Supplementary File: Urban GeoDNA - ABSTRACT OF THE DISSERTATION
Extent
xxv, 360 p. : ill., maps
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Giovani H. Graziosi
Subject (authority = lcsh/lcnaf)
Geographic
Bronx County (N.Y.)--Geography
Subject (authority = ETD-LCSH)
Topic
Geospatial data--New York (State)--Bronx County
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064133
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3XK8DMD
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Graziosi
GivenName
Giovani
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2012-01-06 15:50:41
AssociatedEntity
Name
Giovani Graziosi
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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windows xp
ContentModel
ETD
MimeType (TYPE = file)
application/pdf
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