Category: | Science and Technology |
Domain: | |
Keywords: |
Environment and human behaviour - geocoded, spatial, GIS, GPS, anthropology, archaeology, ecology, time and space
|
Outlook: |
Social scientists are increasingly likely to incorporate a geographical perspective in their work as geocoded data becomes more available and methods of spatial analysis become more sophisticated.
|
Summary Analysis: |
Theoretical developments in the social sciences regarding the interactions between individuals and groups in specific locations, have led to a recent explosion in the amount of attention paid to GIS (geographic information systems) and spatial analysis. Spatial analysis includes special techniques that can be used to analyse aggregate data that are geographically distributed (geocoded data), providing a level of analysis that current techniques cannot produce.
For example, sociologists have employed network analysis to uncover a complex and shifting structure within national politics. Concepts such as social norms, neighborhood effects, peer group effects, and social capital, all of which have a central role for location, space and spacial interactions, are used to understand how individual interactions can lead to collective behaviour and trends. Ecological anthropologists study how human activity within ecosystems varies at least in part as a consequence of spatial and temporal variation in energy availability and how it flows through the system. Archaeologists have also embraced spatial analysis and developed an explicit understanding that spatial data and spatial analytic methods are fundamental to archaeological research. Recent attention to precision farming has forced agricultural economists to incorporate the notion of spatial costs in production theory.
In sum, spatial analysis is becoming an important part of the methodological toolbox of the social scientist.
|
| Implications: |
- Implicit information becoming increasingly explicit and visible
- Development of new subfields within the social sciences on spatial analysis as geodata becomes embedded
- Increase in cross-disciplinary research combining work from sociology, anthropology, design, geography, and archaeology
|
| Early Indicators: |
- Merging of anthropology and geography departments in US universities due to common interests in time and space
- Incorporation of geospatial analysis in current social science research
- Use of GIS by anthropologists analysing land degradation in the Peruvian Amazon
- Use of GIS by social science researchers studying spatial organisation in ethnic economies of the Los Angeles garment industry
|
| What to Watch: |
- Large geocoded data sets become easily available.
|
| Parallels/Precedents: |
- Advent of new methods of statistical analysis with availability of large datasets and increased computing power
|
| Enablers/drivers: |
- Proliferation of desktop spatial analysis software
- Development of new techniques for sensing location through location enabled networks and devices enabled through GPS
- Availability of geocoded socioeconomic data sets
|
| Leaders: |
Institutions:
- University of Arizona
- University of New Mexico
- University of Illinois at Urbana Champaign
- University of Sussex
- University of Newcastle
- Pennsylvania State University
- University of Chicago
- University of Sheffield
- University of Oxford
- University College London
- ESRC National Centre for E-Social Science [link]
- University of Southampton, GeoData Institute [link]
- University of Plymouth, Geomatics Group [link]
- Association for Geographic Information [link]
|
| Figures: |
|
| Sources: |
- Abbott, Andrew. 1997. "Of Time and Space: The Contemporary Relevance of the Chicago School." Social Forces. June, 75(4):1149-82
- Anselin, Luc. 1999. "The Future of Spatial Analysis in the Social Sciences, Geographic Information." Sciences. 5(2), 1999, 67-76
- Aldenderfer, Mark and Herbert DG Maschner. 1996. Anthropology, Space, and Geographic Information Systems. Oxford: Oxford University Press.
- "Spatial social science: for research, teaching, application and policy". Center for Spatially Integrated Social Science, University of California - Santa Barbara. [link]
- Michael F Goodchild, Social Science Interest in GIS Grows, [link]
- Bob Haining, Methodologies for the Analysis of Spatial Data [link]
- Nigel Fielding, Qualitative Research and E-Social Science [link]
- Ben Anderson et al, A Grid-Based triangulation and collaboraton infrastructure for e-Social Science Research [link]
- Galileo [link]
- GPS UK user site [link]
|
| At A Glance: | When: |
3–10 years
|
| | Where: |
Global
|
| | How Fast: |
Years
|
| | Likelihood: |
High
|
| | Impact: |
Unknown
|
| | Controversy: |
Medium
|
About this outlook: An outlook is an internally consistent, plausible view of the future based on the best expertise available. It is not a prediction of the future. The AT-A-GLANCE ratings suggest the scope, scale, and uncertainty associated with this outlook. Each outlook is also a working document, with contributors adding comments and edits to improve the forecast over time. Please see the revision history for earlier versions.