For the past four decades a significant subset of geographers have had a strong interest in using scientific methods and tools to answer questions about society and societal change. The scientific endeavor, learning and verifying new knowledge, has been at the heart of this project. Even though the discipline as a whole seems currently less interested in the classic science project, that project continues within geography and is a part of the wider social science community’s attempt to provide verifiable and useful knowledge to a wide range of stakeholders. The findings from studies of migration and the life course, and segregation and geographical sorting reemphasize the very real contribution of spatial science to understanding societal change. Recent work on the geography of neighborhoods and mobility with the context of legal contestation goes beyond academic research per se to show the continuing relevance of an informed scientific approach and the contributions of geography beyond narrow disciplinary boundaries.
Introduction
The scientific approach in geography was more evolutionary than revolutionary and has been told and retold in numerous essays and compendiums. There is a long history in geography of trying to provide numerical measurements of a wide variety of geographical phenomena. While physical geographers were always concerned with measurement, the process of statistical formulation and analysis was slower to develop in human geography. As we know, it was the work of Garrison and his students at Washington (Garrison 1956; Garrison et al. 1959) presented at the Lund Symposium in 1960 and synthesized and extended by Haggett (1965) that set out a research agenda that was influential for several cohorts of graduate students. (1) The diffusion of new graduates from Washington and research on spatial structures (Dacey 1964; Berry 1967), geographic scale (Tobler 1963), and urbanization and economic development (Berry 1961) set the context of much of the early work that used statistical methods and the “scientific approach.” To the extent that we arrange our approaches and organize our material in a repeatable manner, we are engaging in the most elemental approach to creating new knowledge. I am centered within the group of academics who argue that things are knowable even while acknowledging that objectivity is a difficult path, and of course knowledge is constructed within a social context. Still, I believe that careful measurement, thoughtful modeling, and testing and evaluation are at the core of understanding and measuring change in society. Moreover, it is only through these processes that we can inform policy makers on how we can proceed in dealing with the problems thrown up by an evolving and changing society.
John Dewey wrote more than a century ago that “the future of our civilization depends on the widening spread, and deepening hold, of the scientific habit of mind; and that the problem of education is therefore to discover how to mature and make effective this scientific habit” (Alberts 2004). A culture of science is critical beyond knowledge for its own sake. It is not that science alone will create a more prosperous and rational world but without science we are susceptible to media pundits who outline simplistic solutions to complex problems (Alberts 2005) and many of these complex problems are at their heart geographic problems. From issues of sustainability to social problems of concentrated poverty, it is only science that will provide us a structure for analyzing, evaluating, and providing solutions. Appeals to social inequality without definition, to the White power structure, or to White racism will likely not increase our understanding of social problems although they may resonate with some constituencies.
Science has two roles: increasing our understanding and providing a basis for understanding those findings. Science is “an unending frontier in the long struggle of human beings to understand the world that surrounds us” (Alberts 2005). Science builds upon old knowledge to create new ways of understanding and manipulating our world to produce benefits for humanity. Within this framework we social scientists tackle some of the most difficult problems. Social science is not rocket science, it is more difficult! (2) It is a truth that is increasingly apparent in the world of science as physical scientists turn their attention to social problems, problems that are outside the realm of the natural world. Those of us who have struggled with these problems for the past three or four decades realize that we have only begun to make inroads on the social problems that face our postindustrial societies.
After restating some generalizations about science and social science and particularly the difficult role of making generalizations about behavior in a spatial context, I examine some of the policy extensions of analytical research. A recurrent theme in the discussion that follows is the way in which the spatial sciences, geography, and environmental studies are necessarily involved in the larger policy issues of “what to do” in planning for the future arrangement of our society. Where should people live, what arrangements do we need for getting people to work and to school, what sort of communities do we want to live in, and what sort of environment will be the umbrella within which we live? These are critical questions and require basic research on the components that will allow informed judgments about how to proceed in the future.
Earlier I suggested that science and policy are inextricably linked and I suggested that science can be translated into informed decision making. Thus, policy is linked to outcomes from basic research. “It is irrational for a government anywhere to make decisions without sound scientific advice” (Alberts 2005), although in fact decisions are made without scientific advice and sometimes even contrary to the advice. The ability to evaluate a program, to test a particular input, this predictive ability is what gives science its power in the greater process of decision making in the wider attempt to structure society for the greatest good.
Testing and rejecting, and predictive power, have been central in the natural science community but it has been more difficult to place them at the center of the social science disciplines. Still, predictive ability is what makes science critical for policy makers. Within the social science community the issue of prediction has been less central, but it is something that the social science community is still wrestling with in the concern to be relevant in a complex world (Alberts 2004).
Science is at one and the same time an international endeavor and a local concern. Solving a problem for a neighborhood is only one element in the scale of trying to solve problems globally.
The science of space and the science of behavior in space
The last four decades have moved geo-demographic research from cross-sectional analysis to an emphasis on dynamic systems and a concern with movement in space. Dynamic spatial modeling grew up to improve our understanding of the evolution of phenomena through time under various degrees of spatial constraint (Griffith and MacKinnon 1981). A substantial part of the research focused on partitioning space into regions or neighborhoods and studying the processes of movement through those spaces and explanations for the time space patterns that emerged. In essence, the focus on migration and sorting are still derivative from those conceptualizations. While the initial work was often theoretical rather than empirical, it laid the foundation for the empirical studies and modeling of migration and sorting.
The research on spatial modeling attempted too to integrate the behavior of households and individuals. How do households make choices of where to shop, where to live, and how to make the journey to work? Borrowing ideas and techniques from psychology, psychometrics, and transportation economics, geographers provided new theories to help understand the choice-making process and how spatial behaviors and outcomes can be tied to the geographic context in which they arise. That research was an important element of the growing work in geography on migration (Brown and Sanders 1981), mobility (Moore 1972), and neighborhood choice (Moore and Clark 1990). (3)