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Quantitative Techniques in Landscape Planning covers all aspects of landscape planning, from the initial stages of the study to the final stage of processing data and obtaining a classification of the study area. It describes the process of conducting an inventory and the methods for integrating information from the inventory into the analysis. It also discusses the application of optimization techniques for assigning significance to points in the study area according to planning objectives. Consisting of four comprehensive sections, Quantitative Techniques in Landscape Planning includes discussions on the choice of variables relevant to a particular study, and the processes, risks, methodologies, and statistical techniques of performing a landscape planning study. Systems and classifications for planning purposes, developed in the United States and abroad, are discussed and analyzed.
Table of Contents
Data Analysis and Processing Information in Landscape Planning Introduction Stages in Landscape Planning Studies Techniques for Data Analysis in Landscape Planning Techniques for the Integreation of Information in Landscape Planning THE USE OF INFORMATION IN LANDSCAPE PLANNING Using the Inventory: Models in Landscape Planning Generalization in the Processing of Information Significance of the Elements Specification of Objectives Descriptive Studies Prescriptive Studies Models References Landscape Inventory Introduction Spatial Structure Analysis Analysis of Spatial Structure of Land Use Analysis of the Visual Structure of a Point Analysis of the Visual Structure of the Area References TECHNIQUES FOR ANALYZING INFORMATION Techniques for Multivariate Analysis Bivariate Measures of Association N-Variate Measures of Association Measurements of Distance Between Sample Points Clustering Techniques Discriminant Analysis References Techniques for Spatial and Temporal Analysis Analysis in the Time Domain Analysis in the Frequency Domain Analysis of Lattice Data Analysis of Scattered Points References TECHNIQUES FOR PROCESSING INFORMATION Scaling Methods Prerequisites for Applying Scaling Methods Value Functions Soft Techniques Direct Methods for Obtaining Preference References Optimization of Land Use Allocation A Bayesian Framework for Land Use Allocation A Characterization of the Best Land Use Allocation of Linear Activities References Index
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CHOICE – Outstanding Academic Title – Award Winner
CHOICE – 2018 Outstanding Academic Title – Award Winner
Shingo Research and Professional Publication Award Winner
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