UCLA Labor Center

Spatial Analysis & More

Spatial analysis, albeit not strictly qualitative or quantitative, provides additional context to your research project.  You will find various programs and tutorials below:


ohmage is an open-source participatory sensing technology platform. It supports expressive project authoring; mobile phone-based data capture through both inquiry-based surveys and automated data capture as well as temporally and/or spatially triggered reminders, data visualization and real-time feedback; privacy respecting data management; and extensible data exploration. All captured data are automatically timestamped, geocoded and uploaded for analysis and visualization.




Data analysis application for mixed method and qualitative data. Dedoose supports the analysis of text, audio, and visual data.






GIS-LogoGeographic Information Systems (GIS) supports geographical data analysis.  GIS programs can capture, store, manipulate, analyze, manage, and present spatial data.  This type of data analysis is particularly useful for environmental, demographic, suitability and transportation-related research.






Omeka is designed to support the collection of qualitative data, affirming rich narratives and facilitating public display. 







Fusion Tables is an experimental data application that allows the collection and visualization of data.  Fusion tables supports the integration of diverse data sets.  






a9a25baf-6482-4de9-92f5-1e2d574c2070Research can also be demonstrated by showcasing the prominence of words.  Click on the image to learn more about word clouds.







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ArcGIS supports the compilation of geographic data, spatial analysis of multiple data sources, and management of geographic data.