Social science scholars have identified a “spatial turn” in energy research over the last three decades. This article systematically reviews the literature on energy, space, and place and decomposes ...this inter- and transdisciplinary academic landscape. A corpus of 7879 research articles related to spatial perspectives on energy issues is processed and analyzed based on a step-by-step framework for the automated, transparent, and reproducible analysis of large sets of research articles. For this purpose, natural language processing approaches, including named entity recognition and structural topic modeling, are adopted. Based on this large-n selection procedure, selected topics related to the geographical political economy of the energy transition are reviewed in detail. The review maps the geographical scope and scale of the research field, highlights major topics, and shows the distribution of methodological approaches and the role of geographic information systems in this research field. The results show a growing body of literature attentive to socio-spatial variation and the uneven spatiality of energy systems. Nevertheless, uneven geographical distributions of studies with a strong focus on the major industrialized countries and generally only a few comparative cases were also found. In particular, research on the energy transition and renewable energy policy is strongly informed by studies addressing the Global North, limiting the evidence base for other regional contexts from the Global South.
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•Growing body of literature attentive to socio-spatial variation across time and space and the uneven spatiality of energy systems.•Uneven geographical distributions of studies and lack of diversity of geographical scope.•Low number of identified comparative cases.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Research output from inter- and trans-disciplinary research projects is challenging to store, link, analyze, and communicate among stakeholders and researchers from other fields. Datasets, models, ...and methods are often non-interactive, hard to access and understand, and hidden in research articles with specific terminologies. Here, we present GRETA Analytics, an R Shiny application developed to communicate the output of the GRETA (GReen Energy Transition Actions) EU Horizon 2020 research project. The tool presents and visualizes data collected from qualitative case studies, an extensive multinational survey in 16 EU countries, their re-use in scenario predictions, and their framing for developing interactive transition pathways for individuals and communities. With a strong geospatial focus and a narrative design, the tool promotes collaborative sense-making processes of the real world instead of plain visualization. This paper addresses the development process, design choices, data integration strategies, architecture details, and deployment methods of the tool. We demonstrate how using collaborative and interactive dashboards can enhance the communication of research projects and support a geographical understanding of energy citizenship and energy transition actions, which were the overall goals of the GRETA project.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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