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"This volume gives readers everything they need to understand and apply the LUCIS model to their own regions. Background information on data formats and the ArcGIS geoprocessing environment is provided, and then the steps of LUCIS are laid out in an easy-to-follow manner. Concepts are illustrated by a real-world case study, a nine-county region of north central Florida where LUCIS has been applied with great success. ArcGIS assignments are provided at various points along the way to reinforce the concepts and provide hands-on experience with LUCIS techniques."--BOOK JACKET.
The aim of this book is to bring methods of land-market and land-price analysis to the foreground. It relates substantive research findings for land and urban development and blends these with a focus on research design and methodology. Its findings have relevance beyond the topics of housing and land: it broaches the whole question of how research design and general approach may lead to fundamentally different findings, different priorities, and different policy prescriptions and preoccupations. It is based on work done in the Third World, but is also relevant to studies of the industrialized world.
Public participation in the housing permitting process empowers unrepresentative and privileged groups who participate in local politics to restrict the supply of housing.
This book proposes a method to solve land use problems, and has made some significant contributions to the land use analysis and optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted logit model (GTWLM), spatio-temporal panel logit model (ST-PLM) and generalized spatio-temporal logit model (GSTLM), are proposed. GTWLM, which considers spatio-temporal non-stationarity, includes temporal data in a spatio-temporal framework by proposing a spatiotemporal distance. ST-PLM incorporates the spatio-temporal correlation and individual effect in one model. By integrating GTWLM and ST-PLM, the GSTLM explores spatio-temporal non-stationarity and correlations simultaneously, whilst considering their individual effects to construct an integrated model. Secondly, a MOO-based two-level spatial planning of land use is proposed. The spatial planning aims at managing and coordinating the land use at different geographic extents and involves spatial layouts and structures of land use at different levels. In spatial planning, GIS and Remote Sensing are used to evaluate, analyze, and measure environmental, economic and social issues. The quantitative relationships between these objectives and spatial land use allocation are then used as rules in the MOO process to simulate environmental conditions under different spatial land use allocation scenarios. The book features a case study of Shenzhen city, the most important Special Economic Zone in China. This book will be of interest to academics and professionals in the fields of urban planning, land resource management, remote sensing and geographic information systems.