IQMR 2025

Geographic Information Systems (Modules 29, 33)

Thursday, June 26; Friday, June 27

Jonnell Robinson (Syracuse University)

This module sequence introduces participants to Geographic Information Systems (GIS), a tool for social science research. Hands-on sessions teach participants basic GIS mapping and spatial analysis techniques and principles of map visualization, particularly the tools that are most commonly used by social scientists. Sessions explore basic visualization and analytical functions such as building and displaying attribute table data on maps and mapping distributions and concentrations as multiple scales. The module also reviews the types and sources of data that are available for GIS users, the ethics of using mapping in research, and how to effectively communicate mapped data using professional cartographic design standards.. Other sessions introduce open source geovisualization and analysis tools including Open Street Map, Google My Maps, and QGIS; demonstrate data collection techniques for archival research, field work, participatory and community‐based mapping, and information about how and where to further hone GIS mapping and spatial analysis skills.

Participants may enter the module sequence after it has begun, but their doing so is discouraged.

Geographic Information Systems I (M29, June 26)

8:45am - 10:15am – Enhancing Qualitative Social Science Research with GIS

This first session of six introduces participants to some of the ways that mapping and Geographic Information Systems (GIS) can enhance a range of qualitative and quantitative research approaches and methodologies. Using housing as a hypothetical research area, the session demonstrates ways to examine housing access using spatial data visualization and analysis. During the hands-on portion of the session, participants will learn the interface of

ESRI’s ArcPro, a leading GIS mapping software.

Required readings:

Suggested readings:

1:30pm - 3:00pm – Basic GIS Functions

This session explores basic map visualization and spatial analysis functions such as building attribute tables, basic SQL queries, buffering map features, and symbolizing point, line, and polygon data.

Required readings:

Suggested readings:

3:30pm - 5:00pm – GIS Data Sources, Spatial Data Repositories, and Data Integration

This session will review the types and sources of secondary data that are available for GIS users working in both data rich and data poor settings, the ethics of using mapping in research, and how metadata is used to communicate information about secondary sources of spatial data. Participants will learn how to locate, assess, and download spatial data from web-based repositories and integrate the data into GIS.

Required readings:

Suggested readings:

Geographic Information Systems II (M33, June 27)

8:45am - 10:15am – Open Source Mapping Tools

This session will introduce open source geovisualization and analysis tools and the opportunities that each presents. Participants will explore OpenStreetMap, Google My Maps, and QGIS.

Required readings:

Suggested readings:

1:30pm - 3:00pm – GIS Data Creation: Digitizing Archival Maps and Historical GIS; Georeferenced Surveys and Community GIS; Sketch Mapping and Participatory GIS

This session teaches various ways to collect primary spatial data. Participants will learn to digitize a historical map, collect georeferenced survey data during field work, and tools to engage research participants in participatory mapping.

Required readings:

Suggested readings:

3:30pm - 5:00pm – Map Design: Effectively Communicating Mapped Data

This session will provide an overview of basic map design and geovisualization, integrating narrative and photos with GIS, and a discussion about how and where to further hone GIS skills.

Required readings:

Suggested readings: