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Solar farming has been experiencing explosive development in recent years. However, developing solar farming in urban areas is challenged by the heterogeneous distribution of solar irradiation in spatial and degradation of photovoltaic (PV) efficiency that make the economic performance uncertain. To tackle this problem, this study develops a spatio-temporal analytic model and a techno-economic assessment model to optimize PV provision to ensure that a PV system can meet the electricity demand and obtain reasonable profit simultaneously. Specifically, based on the estimation of solar potential on three-dimensional urban envelopes, the study determines PV favorable locations that are quantitatively large and spatially concentrated. Then, PV capacities in two comparative architectures, i.e., self-reliance relying on own building surfaces and external-support seeking supports from external rooftops, are planned to meet real electricity demand. Furthermore, the PV capacity is optimized, constrained by a constant electricity rate without Feed-in Tariff, a decreasing PV efficiency, and an increasing cost for maintenance. A case study in New York City suggests that the optimized PV installation can significantly offset household electricity consumption. In addition, the estimated net profit is significant even in rigorous conditions, which is inspiring for promoting distributed solar harvesting and competing with the local electricity market. • Optimized PV capacity to meet real electricity demand and obtain net profit. • Developed spatio-temporal data analysis and spatial-aware techno-economic assessment. • The estimated net profit in New York City is significant even in strict conditions. • Inspiring for applying the method to promote distributed PV systems in global cities. [ABSTRACT FROM AUTHOR]

Since the attacks on the World Trade Center in New York City and the Pentagon in Washington, DC on 11 September 2001, Muslims or Muslim-looking people in the USA have experienced a significant increase in hostility and hate violence. The anti-Muslim hate crimes have affected the lives of these people of color in significant ways. In this article I seek to recover part of the post-September 11 experiences of American Muslims that were obfuscated by the dominant anti-Muslim master narrative, which conflated the Islamic faith with terrorism and constructed all Muslims as dangerous anti-American outsiders. I explore a way of telling stories about these experiences using the expressive power of geospatial technologies. Using the experiences of a Muslim woman in Columbus (Ohio, USA) as an example, I describe how the technological spaces afforded by geographical information systems (GIS) may be used to illuminate the impact of the fear of anti-Muslim hate violence on the daily lives of Muslim women and to help articulate their emotional geographies in the post-September 11 period. [ABSTRACT FROM AUTHOR]