In Inheritance within Rupture, Luo Zhitian brings together ten essays to explore the themes of change and continuity, rupture and inheritance from the late Qing through the early Republic (1890s-1940s). Rejecting binaries such as tradition/modernity, conservative/liberal, Luo blurs the divisions between intellectual opponents and clarifies the divergences between scholarly friends. Centering these discussions around some of the most famous intellectual debates in the modern period, Luo challenges our understanding of ideological positions, political affiliation, and scholarly identity in early twentieth-century China. By focusing on the influence of cultural inheritance within the rupture of modernity, we come to understand those concerns shared by all Chinese in their own times and in the present.

The cultural fascination with and imagination of theater has long been overlooked as an important historical and literary context for reading "Water Margin" and "Journey to the West." This study focuses on the concept of the theatrical to read those novels and their commentaries. Imbued with performances, playacting, spectacles, and spectatorship, the early modern theatrical novel borrowed heavily from theater to conflate the theatrical and the real, juggle theatrical roles, persons, and identities, and contest orthodoxies by challenging and appropriating sites of control and authority. This study showcases the theatrical novel s unique position as a new form of literati self-representation in response to the destabilizing social and political forces of early modern China.

Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition, emerging sources of geospatial big data - including smartphone data, data collected by GPS, and various types of wearable sensors (e.g., accelerometers and air pollutant monitors), volunteered geographic information, and/ or location- based social media data (i.e., crowd- sourced geographic information) - inevitably contain errors, and their quality cannot be fully controlled during their collection or production. Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data illustrates how cutting- edge research explores recent advances in this area, and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research. The seven core chapters in this book highlight many challenges and opportunities in confronting various issues of uncertainty and context in GIScience and geography, tackling different topics and approaches. The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science.

Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition, emerging sources of geospatial big data – including smartphone data, data collected by GPS, and various types of wearable sensors (e.g., accelerometers and air pollutant monitors), volunteered geographic information, and/ or location- based social media data (i.e., crowd- sourced geographic information) – inevitably contain errors, and their quality cannot be fully controlled during their collection or production. Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data illustrates how cutting- edge research explores recent advances in this area, and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research. The seven core chapters in this book highlight many challenges and opportunities in confronting various issues of uncertainty and context in GIScience and geography, tackling different topics and approaches. The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science.