Volume rendering visualization of 3D spherical mantle convection with an unstructured mesh View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-07

AUTHORS

Shi Chen, Huai Zhang, David A. Yuen, Shuxia Zhang, Jian Zhang, Yaolin Shi

ABSTRACT

We propose a new approach to utilize the algorithm of hardware-assisted visibility sorting (HAVS) in the 3D volume rendering of spherical mantle convection simulation results over unstructured grid configurations. We will also share our experience in using three different spherical convection codes and then taking full advantages of the enhanced efficiency of visualization techniques, which are based on the HAVS techniques and related transfer functions. The transfer function is a powerful tool designed specifically for editing and exploring large-scale datasets coming from numerical computation for a given environmental setting, and generates hierarchical data structures, which will be used in the future for fast access of GPU visualization facilities. This method will meet the coming urgent needs of real-time visualization of 3D mantle convection, by avoiding the demands of huge amount of I/O space and intensive network traffic over distributed parallel terascale or petascale architecture. More... »

PAGES

97-104

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10069-008-0012-0

DOI

http://dx.doi.org/10.1007/s10069-008-0012-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029158981


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, 19A Yuqanlu Ave., 100049, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Shi", 
        "id": "sg:person.013026532256.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013026532256.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, 19A Yuqanlu Ave., 100049, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Huai", 
        "id": "sg:person.016251152013.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016251152013.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Department of Geology and Geophysics, Laboratory of Computing Science and Engineering, University of Minnesota, Minneapolis, MN, USA", 
            "Minnesota Supercomputing Institute, University of Minnesota, 55455, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yuen", 
        "givenName": "David A.", 
        "id": "sg:person.012630773257.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012630773257.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Minnesota", 
          "id": "https://www.grid.ac/institutes/grid.17635.36", 
          "name": [
            "Minnesota Supercomputing Institute, University of Minnesota, 55455, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Shuxia", 
        "id": "sg:person.016100026775.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016100026775.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, 19A Yuqanlu Ave., 100049, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Jian", 
        "id": "sg:person.010704324056.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010704324056.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.410726.6", 
          "name": [
            "Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, 19A Yuqanlu Ave., 100049, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shi", 
        "givenName": "Yaolin", 
        "id": "sg:person.016631331725.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016631331725.83"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1365-246x.1993.tb06985.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000844553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.1993.tb06985.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000844553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/gd028p0231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002786330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10069-001-1019-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010208626", 
          "https://doi.org/10.1007/s10069-001-1019-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0031-9201(95)03100-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014541084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.1975.tb05888.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016997217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.1975.tb05888.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016997217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/353888.353905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020528197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10069-007-0008-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023289015", 
          "https://doi.org/10.1007/s10069-007-0008-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10069-007-0008-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023289015", 
          "https://doi.org/10.1007/s10069-007-0008-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10069-007-0008-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023289015", 
          "https://doi.org/10.1007/s10069-007-0008-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pepi.2007.03.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024004128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006gl025744", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027227257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006gl025744", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027227257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/99307.99322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027842731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005jb003972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028768541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/130826.130899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034053147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112074000784", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037664367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022112074000784", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037664367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/94jb00545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039221835"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcp.2004.11.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041854397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/90jb02743", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042535301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10069-004-0017-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043024929", 
          "https://doi.org/10.1007/s10069-004-0017-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.1992.tb00111.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048885308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10069-008-0010-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051656093", 
          "https://doi.org/10.1007/s10069-008-0010-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10069-008-0010-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051656093", 
          "https://doi.org/10.1007/s10069-008-0010-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10069-008-0010-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051656093", 
          "https://doi.org/10.1007/s10069-008-0010-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0012-821x(95)00038-e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052580487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s002211207100096x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053791518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s002211207100096x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053791518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s002211207100096x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053791518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s002211207100096x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053791518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.868465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058120646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/99.556510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061251916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvcg.2005.46", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061812525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvcg.2006.171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061812638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.259.5099.1308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062545421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/visual.2005.1532796", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093659195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/visual.1998.745319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094315569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/vv.2000.10001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094337420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/visual.1999.809932", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095667550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511626357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098666301"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-07", 
    "datePublishedReg": "2008-07-01", 
    "description": "We propose a new approach to utilize the algorithm of hardware-assisted visibility sorting (HAVS) in the 3D volume rendering of spherical mantle convection simulation results over unstructured grid configurations. We will also share our experience in using three different spherical convection codes and then taking full advantages of the enhanced efficiency of visualization techniques, which are based on the HAVS techniques and related transfer functions. The transfer function is a powerful tool designed specifically for editing and exploring large-scale datasets coming from numerical computation for a given environmental setting, and generates hierarchical data structures, which will be used in the future for fast access of GPU visualization facilities. This method will meet the coming urgent needs of real-time visualization of 3D mantle convection, by avoiding the demands of huge amount of I/O space and intensive network traffic over distributed parallel terascale or petascale architecture.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10069-008-0012-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4917620", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4980319", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3047819", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1149903", 
        "issn": [
          "1436-2511", 
          "1610-2924"
        ], 
        "name": "Visual Geosciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "name": "Volume rendering visualization of 3D spherical mantle convection with an unstructured mesh", 
    "pagination": "97-104", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8ae8bcdb8a4cabfc144887fe5c1beddedac5f6a47706c67bfea0ac655bfded74"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10069-008-0012-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029158981"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10069-008-0012-0", 
      "https://app.dimensions.ai/details/publication/pub.1029158981"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:30", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000373_0000000373/records_13090_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10069-008-0012-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10069-008-0012-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10069-008-0012-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10069-008-0012-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10069-008-0012-0'


 

This table displays all metadata directly associated to this object as RDF triples.

203 TRIPLES      21 PREDICATES      58 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10069-008-0012-0 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N6103c7916d1f4dcfaa8f6006af8df40a
4 schema:citation sg:pub.10.1007/s10069-001-1019-y
5 sg:pub.10.1007/s10069-004-0017-2
6 sg:pub.10.1007/s10069-007-0008-1
7 sg:pub.10.1007/s10069-008-0010-2
8 https://doi.org/10.1016/0012-821x(95)00038-e
9 https://doi.org/10.1016/0031-9201(95)03100-6
10 https://doi.org/10.1016/j.jcp.2004.11.030
11 https://doi.org/10.1016/j.pepi.2007.03.010
12 https://doi.org/10.1017/cbo9780511626357
13 https://doi.org/10.1017/s002211207100096x
14 https://doi.org/10.1017/s0022112074000784
15 https://doi.org/10.1029/2005jb003972
16 https://doi.org/10.1029/2006gl025744
17 https://doi.org/10.1029/90jb02743
18 https://doi.org/10.1029/94jb00545
19 https://doi.org/10.1029/gd028p0231
20 https://doi.org/10.1063/1.868465
21 https://doi.org/10.1109/99.556510
22 https://doi.org/10.1109/tvcg.2005.46
23 https://doi.org/10.1109/tvcg.2006.171
24 https://doi.org/10.1109/visual.1998.745319
25 https://doi.org/10.1109/visual.1999.809932
26 https://doi.org/10.1109/visual.2005.1532796
27 https://doi.org/10.1109/vv.2000.10001
28 https://doi.org/10.1111/j.1365-246x.1975.tb05888.x
29 https://doi.org/10.1111/j.1365-246x.1992.tb00111.x
30 https://doi.org/10.1111/j.1365-246x.1993.tb06985.x
31 https://doi.org/10.1126/science.259.5099.1308
32 https://doi.org/10.1145/130826.130899
33 https://doi.org/10.1145/353888.353905
34 https://doi.org/10.1145/99307.99322
35 schema:datePublished 2008-07
36 schema:datePublishedReg 2008-07-01
37 schema:description We propose a new approach to utilize the algorithm of hardware-assisted visibility sorting (HAVS) in the 3D volume rendering of spherical mantle convection simulation results over unstructured grid configurations. We will also share our experience in using three different spherical convection codes and then taking full advantages of the enhanced efficiency of visualization techniques, which are based on the HAVS techniques and related transfer functions. The transfer function is a powerful tool designed specifically for editing and exploring large-scale datasets coming from numerical computation for a given environmental setting, and generates hierarchical data structures, which will be used in the future for fast access of GPU visualization facilities. This method will meet the coming urgent needs of real-time visualization of 3D mantle convection, by avoiding the demands of huge amount of I/O space and intensive network traffic over distributed parallel terascale or petascale architecture.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree false
41 schema:isPartOf N878ae460bed74d689086c1ffff551212
42 Nf15eec1eada44e45af9d21e39e21acb1
43 sg:journal.1149903
44 schema:name Volume rendering visualization of 3D spherical mantle convection with an unstructured mesh
45 schema:pagination 97-104
46 schema:productId N7a966918809944f5b3975c95df79b73f
47 Na8aed8f96079408597480fc29f4837a7
48 Nfbd361f1f28c488bb389e93e5f921158
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029158981
50 https://doi.org/10.1007/s10069-008-0012-0
51 schema:sdDatePublished 2019-04-11T14:30
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher Na1cf2c6c201d45c7927f1da70dcc3dbf
54 schema:url https://link.springer.com/10.1007%2Fs10069-008-0012-0
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N07aea640b8cb479bb122626a932b0ef8 rdf:first sg:person.016100026775.32
59 rdf:rest Ndfe14acc59d346e9abe2986696034ce4
60 N19672edfde824935905d3823157c2d69 rdf:first sg:person.016251152013.86
61 rdf:rest Nf67cac76e60d4bb6b4208f9c140fe83c
62 N6103c7916d1f4dcfaa8f6006af8df40a rdf:first sg:person.013026532256.66
63 rdf:rest N19672edfde824935905d3823157c2d69
64 N7a966918809944f5b3975c95df79b73f schema:name readcube_id
65 schema:value 8ae8bcdb8a4cabfc144887fe5c1beddedac5f6a47706c67bfea0ac655bfded74
66 rdf:type schema:PropertyValue
67 N878ae460bed74d689086c1ffff551212 schema:issueNumber 1
68 rdf:type schema:PublicationIssue
69 Na1cf2c6c201d45c7927f1da70dcc3dbf schema:name Springer Nature - SN SciGraph project
70 rdf:type schema:Organization
71 Na8aed8f96079408597480fc29f4837a7 schema:name dimensions_id
72 schema:value pub.1029158981
73 rdf:type schema:PropertyValue
74 Nb0be7277123e4997ab3776b5b37e1334 rdf:first sg:person.016631331725.83
75 rdf:rest rdf:nil
76 Ndfe14acc59d346e9abe2986696034ce4 rdf:first sg:person.010704324056.44
77 rdf:rest Nb0be7277123e4997ab3776b5b37e1334
78 Nf15eec1eada44e45af9d21e39e21acb1 schema:volumeNumber 13
79 rdf:type schema:PublicationVolume
80 Nf67cac76e60d4bb6b4208f9c140fe83c rdf:first sg:person.012630773257.54
81 rdf:rest N07aea640b8cb479bb122626a932b0ef8
82 Nfbd361f1f28c488bb389e93e5f921158 schema:name doi
83 schema:value 10.1007/s10069-008-0012-0
84 rdf:type schema:PropertyValue
85 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
86 schema:name Information and Computing Sciences
87 rdf:type schema:DefinedTerm
88 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
89 schema:name Artificial Intelligence and Image Processing
90 rdf:type schema:DefinedTerm
91 sg:grant.3047819 http://pending.schema.org/fundedItem sg:pub.10.1007/s10069-008-0012-0
92 rdf:type schema:MonetaryGrant
93 sg:grant.4917620 http://pending.schema.org/fundedItem sg:pub.10.1007/s10069-008-0012-0
94 rdf:type schema:MonetaryGrant
95 sg:grant.4980319 http://pending.schema.org/fundedItem sg:pub.10.1007/s10069-008-0012-0
96 rdf:type schema:MonetaryGrant
97 sg:journal.1149903 schema:issn 1436-2511
98 1610-2924
99 schema:name Visual Geosciences
100 rdf:type schema:Periodical
101 sg:person.010704324056.44 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
102 schema:familyName Zhang
103 schema:givenName Jian
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010704324056.44
105 rdf:type schema:Person
106 sg:person.012630773257.54 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
107 schema:familyName Yuen
108 schema:givenName David A.
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012630773257.54
110 rdf:type schema:Person
111 sg:person.013026532256.66 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
112 schema:familyName Chen
113 schema:givenName Shi
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013026532256.66
115 rdf:type schema:Person
116 sg:person.016100026775.32 schema:affiliation https://www.grid.ac/institutes/grid.17635.36
117 schema:familyName Zhang
118 schema:givenName Shuxia
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016100026775.32
120 rdf:type schema:Person
121 sg:person.016251152013.86 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
122 schema:familyName Zhang
123 schema:givenName Huai
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016251152013.86
125 rdf:type schema:Person
126 sg:person.016631331725.83 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
127 schema:familyName Shi
128 schema:givenName Yaolin
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016631331725.83
130 rdf:type schema:Person
131 sg:pub.10.1007/s10069-001-1019-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1010208626
132 https://doi.org/10.1007/s10069-001-1019-y
133 rdf:type schema:CreativeWork
134 sg:pub.10.1007/s10069-004-0017-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043024929
135 https://doi.org/10.1007/s10069-004-0017-2
136 rdf:type schema:CreativeWork
137 sg:pub.10.1007/s10069-007-0008-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023289015
138 https://doi.org/10.1007/s10069-007-0008-1
139 rdf:type schema:CreativeWork
140 sg:pub.10.1007/s10069-008-0010-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051656093
141 https://doi.org/10.1007/s10069-008-0010-2
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/0012-821x(95)00038-e schema:sameAs https://app.dimensions.ai/details/publication/pub.1052580487
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/0031-9201(95)03100-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014541084
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.jcp.2004.11.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041854397
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.pepi.2007.03.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024004128
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1017/cbo9780511626357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098666301
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1017/s002211207100096x schema:sameAs https://app.dimensions.ai/details/publication/pub.1053791518
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1017/s0022112074000784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037664367
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1029/2005jb003972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028768541
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1029/2006gl025744 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027227257
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1029/90jb02743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042535301
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1029/94jb00545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039221835
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1029/gd028p0231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002786330
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1063/1.868465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058120646
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1109/99.556510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061251916
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1109/tvcg.2005.46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061812525
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1109/tvcg.2006.171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061812638
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1109/visual.1998.745319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094315569
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1109/visual.1999.809932 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095667550
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1109/visual.2005.1532796 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093659195
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1109/vv.2000.10001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094337420
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1111/j.1365-246x.1975.tb05888.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016997217
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1111/j.1365-246x.1992.tb00111.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048885308
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1111/j.1365-246x.1993.tb06985.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000844553
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1126/science.259.5099.1308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062545421
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1145/130826.130899 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034053147
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1145/353888.353905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020528197
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1145/99307.99322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027842731
196 rdf:type schema:CreativeWork
197 https://www.grid.ac/institutes/grid.17635.36 schema:alternateName University of Minnesota
198 schema:name Department of Geology and Geophysics, Laboratory of Computing Science and Engineering, University of Minnesota, Minneapolis, MN, USA
199 Minnesota Supercomputing Institute, University of Minnesota, 55455, Minneapolis, MN, USA
200 rdf:type schema:Organization
201 https://www.grid.ac/institutes/grid.410726.6 schema:alternateName University of Chinese Academy of Sciences
202 schema:name Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, 19A Yuqanlu Ave., 100049, Beijing, China
203 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...