Quantitative geography is a subfield and methodological approach to geography that develops, tests, and uses scientific, mathematical, and statistical methods to analyze and model geographic phenomena and patterns.[1][2][3] It aims to explain and predict the distribution and dynamics of human and physical geography through the collection and analysis of quantifiable data.[4] The approach quantitative geographers take is generally in line with the scientific method, where a falsifiable hypothesis is generated, and then tested through observational studies.[3][5][6][7] This has received criticism, and in recent years, quantitative geography has moved to include systematic model creation and understanding the limits of their models.[6][8][9] This approach is used to study a wide range of topics, including population demographics, urbanization, environmental patterns, and the spatial distribution of economic activity.[1] The methods of quantitative geography are often contrasted by those employed by qualitative geography, which is more focused on observing and recording characteristics of geographic place. However, there is increasing interest in using combinations of both qualitative and quantitative methods through mixed-methods research to better understand and contextualize geographic phenomena.[10]
^ abFotheringham, A. Stewart; Brunsdon, Chris; Charlton, Martin (2000). Quantitative Geography: Perspectives on Spatial Data Analysis. Sage Publications Ltd. ISBN978-0-7619-5948-9.
^Taylor, Peter J. (1977). Quantitative Methods in Geography: An introduction to Spatial Analysis. Prospect Heights, Illinois: Waveland Press, inc. ISBN0-88133-072-8.