Back to the CSISS Home Page.

Frequently Asked Questions

Over time CSISS will develop a knowledgebase of answers to frequently asked questions, hints, software advice, etc. Below are some common inquiries:

What is spatially integrated social science?

CSISS recognizes the key role space plays in human society, and promotes research that advances our understanding of spatial patterns and processes. Cartographic visualization, geographic information systems (GIS), pattern recognition, spatially sensitive statistical analysis, and place-based search methodologies are the tools of spatially integrated social science (SISS) used to integrate knowledge across disciplines and paradigms. From research design to the interpretation of research findings, the use of SISS can advance understanding in nearly every domain of the social and behavioral sciences.

For more information see: Spatial Social Science PDF, 320 kb

What is the CSISS perspective on spatially integrated social science?

CSISS views space as integrating social processes and sees social science problems as processes in place. CSISS uses GIS to integrate data by location and also uses spatial analysis to integrate multi-discipline views.

What do social scientists want from CSISS?

CSISS can provide several things for social scientists including: 1) Guidance on data resources and tools for analysis. 2) Examples of evolving practice in spatial thinking and analysis. 3) Resources for learning and applying spatial analysis in their disciplines.

What does CSISS need from social scientists?

Social scientists can provide CSISS with several things: 1) Identification of CSISS Classics from their respective disciplines. 2) Syllabi for courses on spatial perspectives in their disciplines. 3) Suggestions of topics for workshops and specialist meetings. 4) Offers to host CSISS presentations at disciplinary conferences and research workshops.

What general spatial analytic approaches does CSISS see as appropriate for the social sciences?

CSISS recognizes the following spatial analytic approaches as appropriate:

  • Spatial Econometrics
  • Geographic Information Systems
  • Map Making & Visualization
  • Spatial Simulation & Spatial-Temporal Dynamics
  • Spatial Optimization & Spatial Interaction Modeling
  • Remote Sensing

What are some examples of social science infrastructure?

The National Science Foundation sees infrastructure as enhancing shared resources for research and learning. Examples include:

  • Data and Tools
  • Human Resources - Training & Education
  • Communcation - Linkages, Networks and Collaboration
  • Outreach - Accessibility and Dissemination


Core Programs | Learning Resources | Spatial Resources | Spatial Tools | Search Engines | CSISS Events | Community Center | About CSISS
Site Map | Contact CSISS | Plug-ins | Privacy Policy | Site Credits | Home

Copyright © 2001-2008 by Regents of University of California, Santa Barbara