Multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data
The invention discloses a multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data, and the method comprises the steps: obtaining a spatio-temporal data source of a historical time period and a spatial position, and responding to the determination that...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; 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 | XU YILANG ZHANG YONGGUANG LIN HAI XIN GUOSHAN BI YONGHUI ZHANG WEI |
| description | The invention discloses a multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data, and the method comprises the steps: obtaining a spatio-temporal data source of a historical time period and a spatial position, and responding to the determination that the spatio-temporal data source comprises at least one target feature value; the target feature values comprise feature values of different objects with corresponding time attributes and space attributes, filtering and sorting the spatio-temporal data source to obtain an ordered number column, and the ordered number column is at least one piece of trajectory data; processing the ordered sequence according to different trajectory analysis dimensions to obtain a first data matrix under different dimensions; filtering the first data matrix based on the target time period to obtain a second data matrix; and the second data matrix is combined with the map and the web visual data to carry out point location display, trac |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115617933A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115617933A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115617933A3</originalsourceid><addsrcrecordid>eNqNjLEOwjAQQ7MwIOAfwgd0iCJAjKgCscDEXh3JAYfSJspdK5WvJyA-gMm2_Oypup_6IFR5arFjih0ELRme6CTmUUPJIxMX4_VA3EOgF0jhdIvyiP5beBzIob4Co9el4vRBKsE2xVwOPQjM1eQGgXHx05laHvaX-lhhig2WhcMOpanPxqzWZrO1dmf_Yd40WUCs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data</title><source>esp@cenet</source><creator>XU YILANG ; ZHANG YONGGUANG ; LIN HAI ; XIN GUOSHAN ; BI YONGHUI ; ZHANG WEI</creator><creatorcontrib>XU YILANG ; ZHANG YONGGUANG ; LIN HAI ; XIN GUOSHAN ; BI YONGHUI ; ZHANG WEI</creatorcontrib><description>The invention discloses a multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data, and the method comprises the steps: obtaining a spatio-temporal data source of a historical time period and a spatial position, and responding to the determination that the spatio-temporal data source comprises at least one target feature value; the target feature values comprise feature values of different objects with corresponding time attributes and space attributes, filtering and sorting the spatio-temporal data source to obtain an ordered number column, and the ordered number column is at least one piece of trajectory data; processing the ordered sequence according to different trajectory analysis dimensions to obtain a first data matrix under different dimensions; filtering the first data matrix based on the target time period to obtain a second data matrix; and the second data matrix is combined with the map and the web visual data to carry out point location display, trac</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230117&DB=EPODOC&CC=CN&NR=115617933A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230117&DB=EPODOC&CC=CN&NR=115617933A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XU YILANG</creatorcontrib><creatorcontrib>ZHANG YONGGUANG</creatorcontrib><creatorcontrib>LIN HAI</creatorcontrib><creatorcontrib>XIN GUOSHAN</creatorcontrib><creatorcontrib>BI YONGHUI</creatorcontrib><creatorcontrib>ZHANG WEI</creatorcontrib><title>Multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data</title><description>The invention discloses a multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data, and the method comprises the steps: obtaining a spatio-temporal data source of a historical time period and a spatial position, and responding to the determination that the spatio-temporal data source comprises at least one target feature value; the target feature values comprise feature values of different objects with corresponding time attributes and space attributes, filtering and sorting the spatio-temporal data source to obtain an ordered number column, and the ordered number column is at least one piece of trajectory data; processing the ordered sequence according to different trajectory analysis dimensions to obtain a first data matrix under different dimensions; filtering the first data matrix based on the target time period to obtain a second data matrix; and the second data matrix is combined with the map and the web visual data to carry out point location display, trac</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjLEOwjAQQ7MwIOAfwgd0iCJAjKgCscDEXh3JAYfSJspdK5WvJyA-gMm2_Oypup_6IFR5arFjih0ELRme6CTmUUPJIxMX4_VA3EOgF0jhdIvyiP5beBzIob4Co9el4vRBKsE2xVwOPQjM1eQGgXHx05laHvaX-lhhig2WhcMOpanPxqzWZrO1dmf_Yd40WUCs</recordid><startdate>20230117</startdate><enddate>20230117</enddate><creator>XU YILANG</creator><creator>ZHANG YONGGUANG</creator><creator>LIN HAI</creator><creator>XIN GUOSHAN</creator><creator>BI YONGHUI</creator><creator>ZHANG WEI</creator><scope>EVB</scope></search><sort><creationdate>20230117</creationdate><title>Multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data</title><author>XU YILANG ; ZHANG YONGGUANG ; LIN HAI ; XIN GUOSHAN ; BI YONGHUI ; ZHANG WEI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115617933A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>XU YILANG</creatorcontrib><creatorcontrib>ZHANG YONGGUANG</creatorcontrib><creatorcontrib>LIN HAI</creatorcontrib><creatorcontrib>XIN GUOSHAN</creatorcontrib><creatorcontrib>BI YONGHUI</creatorcontrib><creatorcontrib>ZHANG WEI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XU YILANG</au><au>ZHANG YONGGUANG</au><au>LIN HAI</au><au>XIN GUOSHAN</au><au>BI YONGHUI</au><au>ZHANG WEI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data</title><date>2023-01-17</date><risdate>2023</risdate><abstract>The invention discloses a multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data, and the method comprises the steps: obtaining a spatio-temporal data source of a historical time period and a spatial position, and responding to the determination that the spatio-temporal data source comprises at least one target feature value; the target feature values comprise feature values of different objects with corresponding time attributes and space attributes, filtering and sorting the spatio-temporal data source to obtain an ordered number column, and the ordered number column is at least one piece of trajectory data; processing the ordered sequence according to different trajectory analysis dimensions to obtain a first data matrix under different dimensions; filtering the first data matrix based on the target time period to obtain a second data matrix; and the second data matrix is combined with the map and the web visual data to carry out point location display, trac</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN115617933A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Multi-dimensional trajectory analysis and visualization method and device based on spatio-temporal data |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T19%3A27%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=XU%20YILANG&rft.date=2023-01-17&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115617933A%3C/epo_EVB%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 |