(geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications
Spatial dependency and spatial embedding are basic physical properties of many phenomena modeled by networks. The most indicated computational environment to deal with spatial information is to use Georeferenced Information System (GIS) and Geographical Database Management Systems (GDBMS). Several m...
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Santos, Leonardo B L Jorge, Aurelienne A S Rossato, Marcio Santos, Jessica D Candido, Onofre A Seron, Wilson de Santana, Charles N |
| description | Spatial dependency and spatial embedding are basic physical properties of
many phenomena modeled by networks. The most indicated computational
environment to deal with spatial information is to use Georeferenced
Information System (GIS) and Geographical Database Management Systems (GDBMS).
Several models have been proposed in this direction, however there is a gap in
the literature in generic frameworks for working with Complex Networks in
GIS/GDBMS environments. Here we introduce the concept of (geo)graphs: graphs in
which the nodes have a known geographical location and the edges have spatial
dependence. We present case studies and two open source softwares (GIS4GRAPH
and GeoCNet) that indicate how to retrieve networks from GIS data and how to
represent networks over GIS data by using (geo)graphs. |
| doi_str_mv | 10.48550/arxiv.1711.05879 |
| format | Article |
| fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_1711_05879</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1711_05879</sourcerecordid><originalsourceid>FETCH-LOGICAL-a679-befe92dc359769b6f505e058257789de86936204201128ce2f4542a997b10b363</originalsourceid><addsrcrecordid>eNpdjz1PwzAYhL0woMIPYMJjGRL8EdvxiCK-pAqW7pETv05d0tiyIyj_nlA6IZ100p10ugehG0rKqhaC3Jt09J8lVZSWRNRKX6L9eoBwNyQTdxkXuAmHOMIRv8H8FdJHxmYRzjsTwfkRcHB4ChaWcLL_C7DDUriQsPXOQYJpxibG0fdm9mHKV-jCmTHD9dlXaPv0uG1eis3782vzsCmMVLrowIFmtudCK6k76QQRsJxlQqlaW6il5pKRihFKWd0Dc5WomNFadZR0XPIVuv2bPcG2MfmDSd_tL3R7guY_pA9RPw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>(geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications</title><source>arXiv.org</source><creator>Santos, Leonardo B L ; Jorge, Aurelienne A S ; Rossato, Marcio ; Santos, Jessica D ; Candido, Onofre A ; Seron, Wilson ; de Santana, Charles N</creator><creatorcontrib>Santos, Leonardo B L ; Jorge, Aurelienne A S ; Rossato, Marcio ; Santos, Jessica D ; Candido, Onofre A ; Seron, Wilson ; de Santana, Charles N</creatorcontrib><description>Spatial dependency and spatial embedding are basic physical properties of
many phenomena modeled by networks. The most indicated computational
environment to deal with spatial information is to use Georeferenced
Information System (GIS) and Geographical Database Management Systems (GDBMS).
Several models have been proposed in this direction, however there is a gap in
the literature in generic frameworks for working with Complex Networks in
GIS/GDBMS environments. Here we introduce the concept of (geo)graphs: graphs in
which the nodes have a known geographical location and the edges have spatial
dependence. We present case studies and two open source softwares (GIS4GRAPH
and GeoCNet) that indicate how to retrieve networks from GIS data and how to
represent networks over GIS data by using (geo)graphs.</description><identifier>DOI: 10.48550/arxiv.1711.05879</identifier><language>eng</language><subject>Computer Science - Other Computer Science</subject><creationdate>2017-11</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1711.05879$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1711.05879$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Santos, Leonardo B L</creatorcontrib><creatorcontrib>Jorge, Aurelienne A S</creatorcontrib><creatorcontrib>Rossato, Marcio</creatorcontrib><creatorcontrib>Santos, Jessica D</creatorcontrib><creatorcontrib>Candido, Onofre A</creatorcontrib><creatorcontrib>Seron, Wilson</creatorcontrib><creatorcontrib>de Santana, Charles N</creatorcontrib><title>(geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications</title><description>Spatial dependency and spatial embedding are basic physical properties of
many phenomena modeled by networks. The most indicated computational
environment to deal with spatial information is to use Georeferenced
Information System (GIS) and Geographical Database Management Systems (GDBMS).
Several models have been proposed in this direction, however there is a gap in
the literature in generic frameworks for working with Complex Networks in
GIS/GDBMS environments. Here we introduce the concept of (geo)graphs: graphs in
which the nodes have a known geographical location and the edges have spatial
dependence. We present case studies and two open source softwares (GIS4GRAPH
and GeoCNet) that indicate how to retrieve networks from GIS data and how to
represent networks over GIS data by using (geo)graphs.</description><subject>Computer Science - Other Computer Science</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpdjz1PwzAYhL0woMIPYMJjGRL8EdvxiCK-pAqW7pETv05d0tiyIyj_nlA6IZ100p10ugehG0rKqhaC3Jt09J8lVZSWRNRKX6L9eoBwNyQTdxkXuAmHOMIRv8H8FdJHxmYRzjsTwfkRcHB4ChaWcLL_C7DDUriQsPXOQYJpxibG0fdm9mHKV-jCmTHD9dlXaPv0uG1eis3782vzsCmMVLrowIFmtudCK6k76QQRsJxlQqlaW6il5pKRihFKWd0Dc5WomNFadZR0XPIVuv2bPcG2MfmDSd_tL3R7guY_pA9RPw</recordid><startdate>20171115</startdate><enddate>20171115</enddate><creator>Santos, Leonardo B L</creator><creator>Jorge, Aurelienne A S</creator><creator>Rossato, Marcio</creator><creator>Santos, Jessica D</creator><creator>Candido, Onofre A</creator><creator>Seron, Wilson</creator><creator>de Santana, Charles N</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20171115</creationdate><title>(geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications</title><author>Santos, Leonardo B L ; Jorge, Aurelienne A S ; Rossato, Marcio ; Santos, Jessica D ; Candido, Onofre A ; Seron, Wilson ; de Santana, Charles N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a679-befe92dc359769b6f505e058257789de86936204201128ce2f4542a997b10b363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Computer Science - Other Computer Science</topic><toplevel>online_resources</toplevel><creatorcontrib>Santos, Leonardo B L</creatorcontrib><creatorcontrib>Jorge, Aurelienne A S</creatorcontrib><creatorcontrib>Rossato, Marcio</creatorcontrib><creatorcontrib>Santos, Jessica D</creatorcontrib><creatorcontrib>Candido, Onofre A</creatorcontrib><creatorcontrib>Seron, Wilson</creatorcontrib><creatorcontrib>de Santana, Charles N</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Santos, Leonardo B L</au><au>Jorge, Aurelienne A S</au><au>Rossato, Marcio</au><au>Santos, Jessica D</au><au>Candido, Onofre A</au><au>Seron, Wilson</au><au>de Santana, Charles N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>(geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications</atitle><date>2017-11-15</date><risdate>2017</risdate><abstract>Spatial dependency and spatial embedding are basic physical properties of
many phenomena modeled by networks. The most indicated computational
environment to deal with spatial information is to use Georeferenced
Information System (GIS) and Geographical Database Management Systems (GDBMS).
Several models have been proposed in this direction, however there is a gap in
the literature in generic frameworks for working with Complex Networks in
GIS/GDBMS environments. Here we introduce the concept of (geo)graphs: graphs in
which the nodes have a known geographical location and the edges have spatial
dependence. We present case studies and two open source softwares (GIS4GRAPH
and GeoCNet) that indicate how to retrieve networks from GIS data and how to
represent networks over GIS data by using (geo)graphs.</abstract><doi>10.48550/arxiv.1711.05879</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.48550/arxiv.1711.05879 |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_arxiv_primary_1711_05879 |
| source | arXiv.org |
| subjects | Computer Science - Other Computer Science |
| title | (geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T20%3A06%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=(geo)graphs%20-%20Complex%20Networks%20as%20a%20shapefile%20of%20nodes%20and%20a%20shapefile%20of%20edges%20for%20different%20applications&rft.au=Santos,%20Leonardo%20B%20L&rft.date=2017-11-15&rft_id=info:doi/10.48550/arxiv.1711.05879&rft_dat=%3Carxiv_GOX%3E1711_05879%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |