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Case for a Qualitative Geospatial Revolution.

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Title: Case for a Qualitative Geospatial Revolution.
Authors: Young, Jeffrey M.1 Jeffreymyoung@msn.com
Source: Photogrammetric Engineering & Remote Sensing. Dec2024, Vol. 90 Issue 12, p717-720. 4p.
Subjects: Career development, Environmental risk assessment, City dwellers, Information science, Earthquake zones
Abstract: The article "Case for a Qualitative Geospatial Revolution" discusses the importance of quality measures in geospatial technologies, beyond just accuracy. It highlights the historical perspective on soil allocation and geospatial data quality, emphasizing the need for professional judgment and interpretation. The author presents a Quality Model for the Qualitative Geospatial Revolution, focusing on precision, accuracy, completeness, representativeness, comparability, and error diagnosis. The article calls for a shift towards a qualitative geospatial revolution and invites questions and comments from readers. [Extracted from the article]
Copyright of Photogrammetric Engineering & Remote Sensing is the property of ASPRS: The Imaging & Geospatial Information Society 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
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 181101672
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Case for a Qualitative Geospatial Revolution.
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  Data: <searchLink fieldCode="AR" term="%22Young%2C+Jeffrey+M%2E%22">Young, Jeffrey M.</searchLink><relatesTo>1</relatesTo><i> Jeffreymyoung@msn.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Photogrammetric+Engineering+%26+Remote+Sensing%22">Photogrammetric Engineering & Remote Sensing</searchLink>. Dec2024, Vol. 90 Issue 12, p717-720. 4p.
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  Data: <searchLink fieldCode="DE" term="%22Career+development%22">Career development</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+risk+assessment%22">Environmental risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22City+dwellers%22">City dwellers</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Earthquake+zones%22">Earthquake zones</searchLink>
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  Label: Abstract
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  Data: The article "Case for a Qualitative Geospatial Revolution" discusses the importance of quality measures in geospatial technologies, beyond just accuracy. It highlights the historical perspective on soil allocation and geospatial data quality, emphasizing the need for professional judgment and interpretation. The author presents a Quality Model for the Qualitative Geospatial Revolution, focusing on precision, accuracy, completeness, representativeness, comparability, and error diagnosis. The article calls for a shift towards a qualitative geospatial revolution and invites questions and comments from readers. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Photogrammetric Engineering & Remote Sensing is the property of ASPRS: The Imaging & Geospatial Information Society 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=181101672
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Environmental risk assessment
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      – SubjectFull: City dwellers
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      – SubjectFull: Information science
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              Text: Dec2024
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              Y: 2024
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