Year: 2022
Type: article
Abstract: In this commentary we reflect on the potential and power of geographical analysis, as a set of methods, theoretical approaches, and perspectives, to increase our understanding of how space and place matter for women. We emphasize key aspects of the field, including accessibility, urban change, and spatial interaction and behavior, providing a high-level research agenda that indicates a variety of gaps and routes for future research that will not only lead to more equitable and aware solutions to local and global challenges, but also innovative and novel research methods, concepts, and data. We close with a set of gender, representation, and inclusion challenges to our discipline, researchers, and publication outlets.
Source: Geographical Analysis
DOI: 10.1111/gean.12325
Institutions: The Alan Turing Institute, Newcastle University, University of North Carolina at Charlotte, Georgia Institute of Technology, University College London, University of California, Santa Barbara, University of California, Riverside, MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Chinese University of Hong Kong, Arizona State University, University of Illinois Urbana-Champaign, The University of Texas at Austin, The Ohio State University, University of Cambridge, Centre National de la Recherche Scientifique, Université Paris 1 Panthéon-Sorbonne, University of Maryland, College Park
Language: English
Subfield: Geography, Planning and Development
Field: Social Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: hybrid
Estimated APC paid: $3,650
Awards: Visualizing Motion: A Framework for the Cartography of Movement, G1147631174, MCA: Career Advancement in Polar Cyberinfrastructure: Permafrost Feature Mapping and Change Detection using Geospatial Artificial Intelligence and Remote Sensing, Retail Business Datasafe, G2456291976, A1: KnowWhereGraph: Enriching and Linking Cross-Domain Knowledge Graphs using Spatially-Explicit AI Technologies, CAREER: Cyber-Knowledge Infrastructure for Geospatial Data, G3371532552, G424049849, Urban Big Data Centre, G5221018213, Bringing the Social City to the Smart City, G5274634927, G619101480, Crime, Policing and Citizenship (CPC) - Space-Time Interactions of Dynamic Networks, System-science Informed Public Health and Economic Research for Non-communicable Disease Prevention (the SIPHER Consortium), G8413476541, GeoAI for Terrain Analysis: A Deep-Learning Approach for Landform Feature Detection, Systems Science Research in Public Health (SysSci)
OpenAlex ID: W4220722655