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Geospatial tools : for the visualization and analysis of local news distribution

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Geospatial tools : for the visualization and analysis of local news distribution
Συγγραφείς: Rinner, Claus (Author), Komaromy, Andrew (Author), Lindgren, April (Author)
Έτος έκδοσης: 2018
Συλλογή: Ryerson University: RULA Digital Repository
Θεματικοί όροι: Local mass media -- Canada, Journalism, Regional -- Canada, Community newspaper -- Canada, Rural journalism -- Canada, Geographical information systems, Geospatial data -- Data processing, Digital mapping
Περιγραφή: Geographic Information Systems (GIS) enable the integration, mapping, and analysis of data across numerous domains. It has been estimated that 80 per cent of all data collected by governments and businesses contain geographic references, and the news media are no exception. We will explain how we conceptualize news items as spatial data points and illustrate how GIS can be used to manage and analyze them using a sample of geographic references from local news items published in the Toronto Star newspaper. The analysis makes use of cartographic mapping for visual analysis of local news distribution and geospatial tools for quantitative–statistical analysis of emerging patterns. The objective of this paper is to illustrate how computer-based mapping tools can be used to analyze the geographic distribution of news in order to identify concentrations and gaps in local news coverage within a given area and thus better understand issues and trends in local news reporting. Keywords : geographic distribution, GIS, local news, spatial point pattern analysis
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Διαθεσιμότητα: https://digital.library.ryerson.ca/islandora/object/RULA%3A7697
Rights: Creative Commons Attribution 4.0 International Public License; https://creativecommons.org/licenses/by/4.0/
Αριθμός Καταχώρησης: edsbas.47DF4F6C
Βάση Δεδομένων: BASE
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  – Url: https://digital.library.ryerson.ca/islandora/object/RULA:7697#
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  Data: Geospatial tools : for the visualization and analysis of local news distribution
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  Data: <searchLink fieldCode="AR" term="%22Rinner%2C+Claus+%28Author%29%22">Rinner, Claus (Author)</searchLink><br /><searchLink fieldCode="AR" term="%22Komaromy%2C+Andrew+%28Author%29%22">Komaromy, Andrew (Author)</searchLink><br /><searchLink fieldCode="AR" term="%22Lindgren%2C+April+%28Author%29%22">Lindgren, April (Author)</searchLink>
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  Data: 2018
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  Data: Ryerson University: RULA Digital Repository
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  Data: <searchLink fieldCode="DE" term="%22Local+mass+media+--+Canada%22">Local mass media -- Canada</searchLink><br /><searchLink fieldCode="DE" term="%22Journalism%22">Journalism</searchLink><br /><searchLink fieldCode="DE" term="%22Regional+--+Canada%22">Regional -- Canada</searchLink><br /><searchLink fieldCode="DE" term="%22Community+newspaper+--+Canada%22">Community newspaper -- Canada</searchLink><br /><searchLink fieldCode="DE" term="%22Rural+journalism+--+Canada%22">Rural journalism -- Canada</searchLink><br /><searchLink fieldCode="DE" term="%22Geographical+information+systems%22">Geographical information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Geospatial+data+--+Data+processing%22">Geospatial data -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+mapping%22">Digital mapping</searchLink>
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  Data: Geographic Information Systems (GIS) enable the integration, mapping, and analysis of data across numerous domains. It has been estimated that 80 per cent of all data collected by governments and businesses contain geographic references, and the news media are no exception. We will explain how we conceptualize news items as spatial data points and illustrate how GIS can be used to manage and analyze them using a sample of geographic references from local news items published in the Toronto Star newspaper. The analysis makes use of cartographic mapping for visual analysis of local news distribution and geospatial tools for quantitative–statistical analysis of emerging patterns. The objective of this paper is to illustrate how computer-based mapping tools can be used to analyze the geographic distribution of news in order to identify concentrations and gaps in local news coverage within a given area and thus better understand issues and trends in local news reporting. Keywords : geographic distribution, GIS, local news, spatial point pattern analysis
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  Data: Creative Commons Attribution 4.0 International Public License; https://creativecommons.org/licenses/by/4.0/
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      – Text: English
    Subjects:
      – SubjectFull: Local mass media -- Canada
        Type: general
      – SubjectFull: Journalism
        Type: general
      – SubjectFull: Regional -- Canada
        Type: general
      – SubjectFull: Community newspaper -- Canada
        Type: general
      – SubjectFull: Rural journalism -- Canada
        Type: general
      – SubjectFull: Geographical information systems
        Type: general
      – SubjectFull: Geospatial data -- Data processing
        Type: general
      – SubjectFull: Digital mapping
        Type: general
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      – TitleFull: Geospatial tools : for the visualization and analysis of local news distribution
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            NameFull: Komaromy, Andrew (Author)
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            NameFull: Lindgren, April (Author)
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              Y: 2018
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