Quantitative revolution

Long ago, geographers mostly told stories about places. They liked to describe how lands looked. But in the 1950s, things changed. This was a big turning point.

Geographers began to use math and numbers. They wanted to find rules for the world. This helped them study space and patterns. It made their work more like science.

They used new tools like computers. This helped them make better maps. It also helped them plan for cities. Geography became a very technical subject.

Now, we use these ideas every day. They help us understand how the world works. It is a very exciting way to learn!

For a long time, geography was mostly about describing places. Geographers would tell stories about how a region looked. But in the 1950s and 1960s, a big change happened. This was called the quantitative revolution. It was one of four major turning points in geography.

Before this change, some people thought geography was not a real science. They felt it was just about describing things. During the revolution, geographers began to use math and numbers. They wanted to find rules to explain the world. They moved from describing regions to studying space. This made geography a spatial science.

Many experts helped lead this change. At the University of Iowa, Harold McCarty looked for patterns. At the University of Wisconsin, Arthur Robinson used math to compare maps. At the University of Washington, researchers studied cities and trade. These ideas spread to many other universities.

This new way of thinking used tools like statistics. It also used computers to study complex models. These tools led to new fields. Today, we use things like GIS to make maps. This helps us plan cities and understand our world better.

Geography has always been about understanding our world. For a long time, most geographers focused on regional geography. This meant they spent their time describing the unique features of specific places. They wanted to explain how different areas of the Earth looked and felt. However, some people felt this was not scientific enough. They believed describing things was not the same as explaining why they happened. This led to a massive change called the quantitative revolution.

This revolution changed how geographers worked. Instead of just using words, they began to use numbers and math. This shift moved the field from being descriptive to being a spatial science. Scientists wanted to find general laws that could explain patterns across many different places. They used tools like statistics and mathematical equations. Some models even used ideas from physics, like the gravity model. This helped geographers study how things like cities or people move through space.

The big change happened during the 1950s and 1960s. Before this, geography faced some hard times in universities. In 1948, a famous program at Harvard University was even closed. This caused a big debate about whether geography was a real science. During the revolution, famous thinkers had many disagreements. In 1953, a researcher named Fred Schaefer argued for scientific laws. He disagreed with Richard Hartshorne, who thought describing regions was more important.

Many universities helped lead this new way of thinking. The University of Iowa was a leader in finding patterns. At the University of Wisconsin–Madison, Arthur H. Robinson worked on math for maps. The University of Washington was also very important for studying cities. Researchers there, like Edward Ullman and William Garrison, studied economic geography. Later, students like William Bunge wrote important books about these new ideas. These ideas spread to many other schools, like the University of Chicago.

The quantitative revolution changed geography forever. It helped create new technical branches of the subject. Today, we use geoinformatics and geographic information science. We also use tools like GIS and remote sensing to see the world. These tools use computers to look at complex models of space and time. Because of this change, geography is now very useful for planning cities and helping the public. It helps us connect the study of nature with the study of people.

The quantitative revolution was a major paradigm shift in the field of geography. A paradigm shift is a fundamental change in the basic ideas and methods of a science. This revolution sought to make geography a more rigorous and systematic discipline. Before this change, geography was mostly known as regional geography. This older approach focused on describing the unique features of specific areas. Geographers wanted to explain the differences between one place and another. However, many felt this method could not explain general spatial dynamics. The quantitative revolution changed geography from a descriptive subject into a spatial science. This transition moved the field from an idiographic approach to a nomothetic one. An idiographic approach focuses on describing unique individual cases. A nomothetic approach seeks to establish general scientific laws.

This shift occurred during the 1950s and 1960s. It was a response to several problems facing the discipline at the time. In the late 1940s, the regional tradition dominated geography studies. This tradition focused on the areal differentiation of the Earth's surface. However, many people began to argue that geography was unscientific. Critics claimed it was merely descriptive and lacked real explanation. They felt it did not explain why certain processes occurred. This period was also marked by academic struggles. In 1948, the prestigious Harvard University abolished its geography program. This event was seen as an academic war over the field. Geography was even questioned as a true university subject. Many believed it was only useful for education rather than research.

Major debates helped drive the revolution forward. One of the most famous conflicts was the Schaefer vs. Hartshorne debate. In 1953, Fred Schaefer published a work titled "Exceptionalism in Geography: A Methodological Examination." Schaefer rejected the idea that the region should be the central object of study. He argued that geography should establish morphological laws through scientific inquiry. He wanted to use methods from other social sciences to study processes. Richard Hartshorne responded to these criticisms in several publications. Hartshorne believed in the importance of describing and classifying places. He did not believe there should be a hierarchy between description and law-making. He viewed Schaefer's ideas as subjective and contradictory. These debates were central to the movement in the United States.

Several American universities became leaders in this new movement. The University of Iowa was a pioneer in systematic geography. At Iowa, Harold McCarty worked to establish laws of association between patterns. The University of Wisconsin–Madison also played a major role. There, Arthur H. Robinson developed statistical methods for comparing maps. The University of Washington was another critical center for research. Edward Ullman and William Garrison worked on economic and urban geography. They helped develop central place theory. Students at Washington, such as William Bunge, expanded this work significantly. Bunge wrote "Theoretical Geography," which is considered a seminal text of the revolution. These ideas eventually spread to many other schools, including the University of Chicago.

To achieve scientific precision, geographers adopted many new techniques. They began to prefer numerical data over written descriptions. This approach relied heavily on mathematical and statistical tools. Some geographers used descriptive and inferential statistics to analyze data. They also applied basic mathematical equations and models to spatial problems. For example, they used the gravity model of social physics. They also used the Coulomb equation in their research. Some used stochastic models, which involve the concept of probability. These were used to study processes like spatial diffusion. Others used deterministic models, such as the location models of Von Thünen and Weber. These tools allowed for a much more precise study of space.

This new way of thinking changed the philosophy of geography. It led to the development of theories and tested hypotheses. One of the most important books was "Explanation in Geography" by David Harvey in 1969. Harvey provided a theoretical foundation for geography as a spatial science. He described two ways to explain geographical phenomena. The first is the inductive route, where generalizations come from observation. The second is the deductive route, where scientists create models and hypotheses to test. Harvey preferred the deductive method. This approach was linked to positivism, a philosophy of scientific certainty. Some thinkers, like Karl Popper, offered a different view called critical rationalism. Popper argued that hypotheses should be tested for falsification rather than just verification.

Despite its success, the revolution faced some criticism. Some geographers, such as Ian Burton, were dissatisfied with quantification. Others debated if law-making was even possible in geography. Some researchers, like F. Luckermann, argued that these scientific explanations were just guesses. They felt the models lacked a strong empirical basis. They noted that even tested models sometimes failed to match reality. Nevertheless, by the mid-1960s, the revolution had succeeded. It displaced regional geography as the dominant way of thinking. The new paradigm was clearly visible in academic journals and textbooks. It made geography more useful for both the public and private sectors.

Today, the effects of the quantitative revolution are everywhere. It helped create the technical branches of geography we use now. This includes geographic information science and geoinformatics. The rise of computers led to the development of geomatics. This includes tools like Geographic Information Systems (GIS) and remote sensing. These technologies allow geographers to assess complex models across space and time. They can now study the relationships between different spatial entities more easily. These advancements have even helped bridge the gap between physical and human geography. We can now use computable models to study both the natural and human environments together.