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Placing dots in dot maps.

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Title: Placing dots in dot maps.
Authors: Hey, Annette1 (AUTHOR) annette.hey@uni-rostock.de, Bill, Ralf1 (AUTHOR)
Source: International Journal of Geographical Information Science. Dec2014, Vol. 28 Issue 12, p2417-2434. 18p.
Subjects: Cartography automation, Data visualization, Distribution (Probability theory), Absolute value, Census
Abstract: Dot mapping is a cartographic representation method to visualise discrete absolute values and their spatial distribution. To achieve this, dots equal in size and represented value are used. According to the dot value, a certain number of dots are used to depict a data value. These dots usually form dot clusters. The data value needs to be rounded to a multiple of the dot value. It is possible to roughly determine the visualised data value by counting the dots and multiplying this number with the dot value. As there are many parameters – dot size, dot value, map scale – to consider when designing a dot map, the manual way is very complex and time consuming. This paper presents a method to automatically create a dot representation of a dot map from given statistical data that needs no cartographic expertise. The dot representation may be combined with other elements, such as a topographic background, to form a complete map. So the algorithm can easily be integrated into the map design process. The paper refines the basic approach of automated dot mapping published earlier. The dot placement and arrangement have been improved compared to the basic method. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Geographical Information Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Placing dots in dot maps.
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  Data: <searchLink fieldCode="AR" term="%22Hey%2C+Annette%22">Hey, Annette</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> annette.hey@uni-rostock.de</i><br /><searchLink fieldCode="AR" term="%22Bill%2C+Ralf%22">Bill, Ralf</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>. Dec2014, Vol. 28 Issue 12, p2417-2434. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Cartography+automation%22">Cartography automation</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Absolute+value%22">Absolute value</searchLink><br /><searchLink fieldCode="DE" term="%22Census%22">Census</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Dot mapping is a cartographic representation method to visualise discrete absolute values and their spatial distribution. To achieve this, dots equal in size and represented value are used. According to the dot value, a certain number of dots are used to depict a data value. These dots usually form dot clusters. The data value needs to be rounded to a multiple of the dot value. It is possible to roughly determine the visualised data value by counting the dots and multiplying this number with the dot value. As there are many parameters – dot size, dot value, map scale – to consider when designing a dot map, the manual way is very complex and time consuming. This paper presents a method to automatically create a dot representation of a dot map from given statistical data that needs no cartographic expertise. The dot representation may be combined with other elements, such as a topographic background, to form a complete map. So the algorithm can easily be integrated into the map design process. The paper refines the basic approach of automated dot mapping published earlier. The dot placement and arrangement have been improved compared to the basic method. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Geographical Information Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/13658816.2014.928822
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      – Code: eng
        Text: English
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        PageCount: 18
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    Subjects:
      – SubjectFull: Cartography automation
        Type: general
      – SubjectFull: Data visualization
        Type: general
      – SubjectFull: Distribution (Probability theory)
        Type: general
      – SubjectFull: Absolute value
        Type: general
      – SubjectFull: Census
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              Text: Dec2014
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