Abstract
Banal Cartography: A Critique of Quantitative Content Analysis in Contemporary Cartographic Research
Highlights
It is argued here, that the results of this positivist trend are not all positive
To garner broad research appeal today, cartographic researchers often need to embrace some sort of statistical analysis
In a matter of less than 10 years, Quantitative Content Analysis (QCA) has gone from an esoteric research technique borrowed from the social sciences to a sure-fire method with which to push out numbers-driven cartographic publications
Summary
That the results of this positivist trend are not all positive. Abstract: This is a critique – a rebuke of a method that I helped promote and grow within the cartographic discipline. During this era of big-data fetishism, cartographers (including this author) have been searching for ways to analyze maps that are more quantitative than previous, descriptive methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.