Terra Populus' Architecture for Integrated Big Geospatial Services.
Identifieur interne : 001174 ( Main/Exploration ); précédent : 001173; suivant : 001175Terra Populus' Architecture for Integrated Big Geospatial Services.
Auteurs : David Haynes [États-Unis] ; Steven Manson [États-Unis] ; Eric Shook [États-Unis]Source :
- Transactions in GIS : TG [ 1361-1682 ] ; 2017.
Abstract
Big geospatial data is an emerging sub-area of geographic information science, big data, and cyberinfrastructure. Big geospatial data poses two unique challenges to these and other cognate disciplines. First, raster and vector data structures and analyses have developed on largely separate paths for the last twenty years and this creates an impediment to researchers utilizing big data platforms that do not promote the integration for these classes. Second, big spatial data repositories have yet to be integrated with big data computation platforms in ways that allow researchers to spatio-temporally analyze big geospatial datasets. IPUMS-Terra, a National Science Foundation cyberInfrastructure project, begins to address these challenges. IPUMS-Terra is a spatial data infrastructure project that provides a unified framework for accessing, analyzing, and transforming big heterogeneous spatio-temporal data, and is part of the IPUMS (Integrated Public Use Microdata Series) data infrastructure. It supports big geospatial data analysis and provides integrated big geospatial services to its users. As IPUMS-Terra's data volume grows, we seek to integrate geospatial platforms that will scale geospatial analyses and address current bottlenecks within our system. However, our work shows that there are still unresolved challenges for big geospatial analysis. The most pertinent is that there is a lack of a unified framework for conducting scalable integrated vector and raster data analysis. We conducted a comparative analysis between PostgreSQL with PostGIS and SciDB and concluded that SciDB is the superior platform for scalable raster zonal analyses.
DOI: 10.1111/tgis.12286
PubMed: 31565027
PubMed Central: PMC6764783
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Terra Populus' Architecture for Integrated Big Geospatial Services.</title><author><name sortKey="Haynes, David" sort="Haynes, David" uniqKey="Haynes D" first="David" last="Haynes">David Haynes</name><affiliation wicri:level="2"><nlm:affiliation>Minnesota Population Center University of Minnesota, Minneapolis, MN.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Minnesota</region></placeName><wicri:cityArea>Minnesota Population Center University of Minnesota, Minneapolis</wicri:cityArea></affiliation></author><author><name sortKey="Manson, Steven" sort="Manson, Steven" uniqKey="Manson S" first="Steven" last="Manson">Steven Manson</name><affiliation wicri:level="2"><nlm:affiliation>Department of Geography, Environment, and Society University of Minnesota, Minneapolis, MN.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Minnesota</region></placeName><wicri:cityArea>Department of Geography, Environment, and Society University of Minnesota, Minneapolis</wicri:cityArea></affiliation></author><author><name sortKey="Shook, Eric" sort="Shook, Eric" uniqKey="Shook E" first="Eric" last="Shook">Eric Shook</name><affiliation wicri:level="2"><nlm:affiliation>Department of Geography, Environment, and Society University of Minnesota, Minneapolis, MN.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Minnesota</region></placeName><wicri:cityArea>Department of Geography, Environment, and Society University of Minnesota, Minneapolis</wicri:cityArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:31565027</idno><idno type="pmid">31565027</idno><idno type="doi">10.1111/tgis.12286</idno><idno type="pmc">PMC6764783</idno><idno type="wicri:Area/Main/Corpus">001306</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001306</idno><idno type="wicri:Area/Main/Curation">001306</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">001306</idno><idno type="wicri:Area/Main/Exploration">001306</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Terra Populus' Architecture for Integrated Big Geospatial Services.</title><author><name sortKey="Haynes, David" sort="Haynes, David" uniqKey="Haynes D" first="David" last="Haynes">David Haynes</name><affiliation wicri:level="2"><nlm:affiliation>Minnesota Population Center University of Minnesota, Minneapolis, MN.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Minnesota</region></placeName><wicri:cityArea>Minnesota Population Center University of Minnesota, Minneapolis</wicri:cityArea></affiliation></author><author><name sortKey="Manson, Steven" sort="Manson, Steven" uniqKey="Manson S" first="Steven" last="Manson">Steven Manson</name><affiliation wicri:level="2"><nlm:affiliation>Department of Geography, Environment, and Society University of Minnesota, Minneapolis, MN.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Minnesota</region></placeName><wicri:cityArea>Department of Geography, Environment, and Society University of Minnesota, Minneapolis</wicri:cityArea></affiliation></author><author><name sortKey="Shook, Eric" sort="Shook, Eric" uniqKey="Shook E" first="Eric" last="Shook">Eric Shook</name><affiliation wicri:level="2"><nlm:affiliation>Department of Geography, Environment, and Society University of Minnesota, Minneapolis, MN.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Minnesota</region></placeName><wicri:cityArea>Department of Geography, Environment, and Society University of Minnesota, Minneapolis</wicri:cityArea></affiliation></author></analytic><series><title level="j">Transactions in GIS : TG</title><idno type="ISSN">1361-1682</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Big geospatial data is an emerging sub-area of geographic information science, big data, and cyberinfrastructure. Big geospatial data poses two unique challenges to these and other cognate disciplines. First, raster and vector data structures and analyses have developed on largely separate paths for the last twenty years and this creates an impediment to researchers utilizing big data platforms that do not promote the integration for these classes. Second, big spatial data repositories have yet to be integrated with big data computation platforms in ways that allow researchers to spatio-temporally analyze big geospatial datasets. IPUMS-Terra, a National Science Foundation cyberInfrastructure project, begins to address these challenges. IPUMS-Terra is a spatial data infrastructure project that provides a unified framework for accessing, analyzing, and transforming big heterogeneous spatio-temporal data, and is part of the IPUMS (Integrated Public Use Microdata Series) data infrastructure. It supports big geospatial data analysis and provides integrated big geospatial services to its users. As IPUMS-Terra's data volume grows, we seek to integrate geospatial platforms that will scale geospatial analyses and address current bottlenecks within our system. However, our work shows that there are still unresolved challenges for big geospatial analysis. The most pertinent is that there is a lack of a unified framework for conducting scalable integrated vector and raster data analysis. We conducted a comparative analysis between PostgreSQL with PostGIS and SciDB and concluded that SciDB is the superior platform for scalable raster zonal analyses.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">31565027</PMID><DateRevised><Year>2020</Year><Month>10</Month><Day>01</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">1361-1682</ISSN><JournalIssue CitedMedium="Print"><Volume>21</Volume><Issue>3</Issue><PubDate><Year>2017</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Transactions in GIS : TG</Title><ISOAbbreviation>Trans GIS</ISOAbbreviation></Journal><ArticleTitle>Terra Populus' Architecture for Integrated Big Geospatial Services.</ArticleTitle><Pagination><MedlinePgn>546-559</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/tgis.12286</ELocationID><Abstract><AbstractText>Big geospatial data is an emerging sub-area of geographic information science, big data, and cyberinfrastructure. Big geospatial data poses two unique challenges to these and other cognate disciplines. First, raster and vector data structures and analyses have developed on largely separate paths for the last twenty years and this creates an impediment to researchers utilizing big data platforms that do not promote the integration for these classes. Second, big spatial data repositories have yet to be integrated with big data computation platforms in ways that allow researchers to spatio-temporally analyze big geospatial datasets. IPUMS-Terra, a National Science Foundation cyberInfrastructure project, begins to address these challenges. IPUMS-Terra is a spatial data infrastructure project that provides a unified framework for accessing, analyzing, and transforming big heterogeneous spatio-temporal data, and is part of the IPUMS (Integrated Public Use Microdata Series) data infrastructure. It supports big geospatial data analysis and provides integrated big geospatial services to its users. As IPUMS-Terra's data volume grows, we seek to integrate geospatial platforms that will scale geospatial analyses and address current bottlenecks within our system. However, our work shows that there are still unresolved challenges for big geospatial analysis. The most pertinent is that there is a lack of a unified framework for conducting scalable integrated vector and raster data analysis. We conducted a comparative analysis between PostgreSQL with PostGIS and SciDB and concluded that SciDB is the superior platform for scalable raster zonal analyses.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Haynes</LastName><ForeName>David</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Minnesota Population Center University of Minnesota, Minneapolis, MN.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Manson</LastName><ForeName>Steven</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Geography, Environment, and Society University of Minnesota, Minneapolis, MN.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shook</LastName><ForeName>Eric</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Department of Geography, Environment, and Society University of Minnesota, Minneapolis, MN.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>P2C HD041023</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R24 HD041023</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>T32 CA163184</GrantID><Acronym>CA</Acronym><Agency>NCI NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>06</Month><Day>23</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Trans GIS</MedlineTA><NlmUniqueID>101616169</NlmUniqueID><ISSNLinking>1361-1682</ISSNLinking></MedlineJournalInfo></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>10</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>6</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>6</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31565027</ArticleId><ArticleId IdType="doi">10.1111/tgis.12286</ArticleId><ArticleId IdType="pmc">PMC6764783</ArticleId><ArticleId IdType="mid">NIHMS996168</ArticleId></ArticleIdList><pmc-dir>nihms</pmc-dir>
<ReferenceList><Reference><Citation>Proc Natl Acad Sci U S A. 2011 Apr 5;108(14):5488-91</Citation><ArticleIdList><ArticleId IdType="pubmed">21467227</ArticleId></ArticleIdList></Reference><Reference><Citation>JAMA. 2013 Apr 3;309(13):1351-2</Citation><ArticleIdList><ArticleId IdType="pubmed">23549579</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Minnesota</li></region></list><tree><country name="États-Unis"><region name="Minnesota"><name sortKey="Haynes, David" sort="Haynes, David" uniqKey="Haynes D" first="David" last="Haynes">David Haynes</name></region><name sortKey="Manson, Steven" sort="Manson, Steven" uniqKey="Manson S" first="Steven" last="Manson">Steven Manson</name><name sortKey="Shook, Eric" sort="Shook, Eric" uniqKey="Shook E" first="Eric" last="Shook">Eric Shook</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PoplarV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001174 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001174 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Bois
|area= PoplarV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:31565027
|texte= Terra Populus' Architecture for Integrated Big Geospatial Services.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:31565027" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PoplarV1
| This area was generated with Dilib version V0.6.37. |  |