David W. Howell – författare

First published in 1977. Essentially an economic history with strong emphasis on human factors, this title examines the reasons for the backwardness of much of the farming of Wales and discusses in detail how agricultural resources and organisation directly affected the nature of social relationships within the community. This study will be of central importance to students of the history of Wales. It should appeal equally to those interested in the economic history of late modern Britain; students of nineteenth-century British Agriculture and the rural community; historical geographers; and all those concerned with peasants and peasant societies.

First published in 1977. Essentially an economic history with strong emphasis on human factors, this title examines the reasons for the backwardness of much of the farming of Wales and discusses in detail how agricultural resources and organisation directly affected the nature of social relationships within the community. This study will be of central importance to students of the history of Wales. It should appeal equally to those interested in the economic history of late modern Britain; students of nineteenth-century British Agriculture and the rural community; historical geographers; and all those concerned with peasants and peasant societies.

Digital Soil Mapping is the creation and the population of a geographically referenced soil database. It is generated at a given resolution by using field and laboratory observation methods coupled with environmental data through quantitative relationships. Digital soil mapping is advancing on different fronts at different rates all across the world. This book presents the state-of-the art and explores strategies for bridging research, production, and environmental application of digital soil mapping.It includes examples from North America, South America, Europe, Asia, and Australia. The chapters address the following topics: - evaluating and using legacy soil data - exploring new environmental covariates and sampling schemes - using integrated sensors to infer soil properties or status - innovative inference systems predicting soil classes, properties, and estimating their uncertainties - using digital soil mapping and techniques for soil assessment and environmental application -protocol and capacity building for making digital soil mapping operational around the  globe.