Quantitative Methods and Socio-Economic Applications in GIS, Second Edition

Fahui Wang

  • 出版商: CRC
  • 出版日期: 2017-08-04
  • 售價: $3,040
  • 貴賓價: 9.5$2,888
  • 語言: 英文
  • 頁數: 334
  • 裝訂: Paperback
  • ISBN: 1138843628
  • ISBN-13: 9781138843622
  • 相關分類: 地理資訊系統 Gis

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商品描述

The second edition of a bestseller, Quantitative Methods and Socio-Economic Applications in GIS (previously titled Quantitative Methods and Applications in GIS) details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) methods and demonstrates them in various policy-relevant socio-economic applications with step-by-step instructions and datasets. The book demonstrates the diversity of issues where GIS can be used to enhance the studies related to socio-economic issues and public policy.

See What’s New in the Second Edition:

  • All project instructions are in ArcGIS 10.2 using geodatabase datasets
  • New chapters on regionalization methods and Monte Carlo simulation
  • Popular tasks automated as a convenient toolkit: Huff Model, 2SFCA accessibility measure, regionalization, Garin-Lowry model, and Monte Carlo based spatial simulation
  • Advanced tasks now implemented in user-friendly programs or ArcGIS: centrality indices, wasteful commuting measure, p-median problem, and traffic simulation

Each chapter has one subject theme and introduces the method (or a group of related methods) most relevant to the theme. While each method is illustrated in a special case of application, it can also be used to analyze different issues. For example, spatial regression is used to examine the relationship between job access and homicide patterns; systems of linear equations are analyzed to predict urban land use patterns; linear programming is introduced to solve the problem of wasteful commuting and allocate healthcare facilities; and Monte Carlo technique is illustrated in simulating urban traffic.

The book illustrates the range of computational methods and covers common tasks and major issues encountered in a spatial environment. It provides a platform for learning technical skills and quantitative methods in the context of addressing real-world problems, giving you instant access to the tools to resolve major socio-economic issues.