A number of approaches for integrating GIS and qualitative research have emerged in recent years, as part of a resurgence of interest in mixed methods research in geography. These efforts to integrate qualitative data and qualitative analysis techniques complement a longstanding focus in GIScience upon ways of handling qualitative forms of spatial data and reasoning in digital environments, and extend engagements with ‘the qualitative’ in GIScience to include discussions of research methodologies. This article contributes to these emerging qualitative GIS methodologies by describing the structures and functions of ‘computer‐aided qualitative GIS’ (CAQ‐GIS), an approach for storing and analyzing qualitative, quantitative, and geovisual data in both GIS and computer aided data analysis software. CAQ‐GIS uses modified structures from conventional desktop GIS to support storage of qualitative data and analytical codes, together with a parallel coding and analysis process carried out with GIS and a computer‐aided data analysis software package. The inductive mixed methods analysis potential of CAQ‐GIS is demonstrated with examples from research on children's urban geographies.

Community geography is a growing subfield that provides a framework for relevant and engaged scholarship. In this paper, we define community geography as a form of research praxis, one that involves academic and public scholars with the goal of co-produced and mutually-beneficial knowledge. Community geography draws from a pragmatist model of inquiry, one that views communities as emergent through a recursive process of problem definition and social action. We situate the growth of community geography programs as rooted in two overlapping but distinct traditions: disciplinary development of participatory methodologies and institutional traditions of community engagement in American higher education. We then trace the historical development of these programs, identifying common themes and outlining several challenges that community geographers should prioritize as this subfield continues to grow.

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