Analyses the distribution of various social and economic groups in the Darwin and Palmerston populations. Comprises 25 maps with commentaries and an appendix containing technical details.
Maps illustrating a range of social, economic and demographic characteristics of the population of Darwin, using data collected in the 1991 census of population and housing. A commentary accompanying each map briefly analyses these characteristics and highlights the main features.
A pictorial presentation of data from the 1991 Census for Urban Adelaide. Contains 46 large maps which are colour coded to show a variety of socio-economic characteristics, such as birthplace, education, labour force, income and dwellings. Each map is accompanied by illustrative commentary which identifies those suburbs where the highest concentrations of the characteristic occur.
Addressing the methodological and topical challenges facing demographers working in remote regions, this book compares and contrasts the research, methods and models, and policy applications from peripheral regions in developed nations. With the emphasis on human populations as dynamic, adaptive, evolving systems, it explores how populations respond in different ways to changing environmental, cultural and economic conditions and how effectively they manage these change processes. Theoretical understandings and policy issues arising from demographic modelling are tackled including: competition for skilled workers; urbanisation and ruralisation; population ageing; the impacts of climate change; the life outcomes of Indigenous peoples; globalisation and international migration. Based on a strong theoretical framework around issues of heterogeneity, generational change, temporariness and the relative strength of internal and external ties, Demography at the Edge provides a common set of approaches and issues that benefit both researchers and practitioners.
In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.