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Quantitative geography

Subfield of geographic methods

  • 6 min read
  • 6 chapters

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History

Quantitative geography emerged in the mid-20th century as a response to the increasing demand for more systematic, empirical, and data-driven approaches to studying geographic phenomena. It is a direct product of the quantitative revolution in geography.

It was influenced by developments in statistics, mathematics, computer science, and the physical sciences. Quantitative geographers sought to use mathematical and statistical methods to better understand patterns, relationships, and processes in the spatial distribution of human and physical phenomena.

Computers perhaps had the most profound impact on quantitative geography, with techniques such as map analysis, regression analysis, and spatial statistics to investigate various geographic questions. In the 1950s and 1960s, advances in computer technology facilitated the application of quantitative methods in geography, leading to new techniques such as geographic information systems (GIS). Notable early pioneers in GIS are Roger Tomlinson and Waldo Tobler. Simultaneously, new data sources, such as remote sensing and GPS, were incorporated into geographic research. These tools enabled geographers to collect, analyze, and visualize large amounts of spatial data in new ways, further advancing the field of quantitative geography.

In the late 20th century, quantitative geography became a central discipline within geography, and its influence was felt in fields such as urban, economic, and environmental geography. Within academia, groups such as the Royal Geographical Society Study Group in Quantitative Methods focused on spreading these methods to students and the public through publications such as the Concepts and Techniques in Modern Geography series. Economics and spatial econometrics both served as a driving force and area of application for quantitative geography.

Today, research in quantitative geography continues, focusing on using innovative quantitative methods and technologies to address complex geographic questions and problems.

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