{"product_id":"quantitative-methods-and-socio-economic-applications-in-gis","title":"Quantitative Methods and Socio-Economic Applications in GIS","description":"\u003cp\u003eThe 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.\u003c\/p\u003e\u003cstrong\u003e\u003cp\u003eSee What's New in the Second Edition:\u003c\/p\u003e\n\u003cul\u003e\u003c\/ul\u003e\u003c\/strong\u003e \u003cp\u003e\u003c\/p\u003e\u003cli\u003eAll project instructions are in ArcGIS 10.2 using geodatabase datasets\u003c\/li\u003e\u003cli\u003eNew chapters on regionalization methods and Monte Carlo simulation\u003c\/li\u003e\u003cli\u003ePopular tasks automated as a convenient toolkit: Huff Model, 2SFCA accessibility measure, regionalization, Garin-Lowry model, and Monte Carlo based spatial simulation\u003c\/li\u003e\u003cli\u003eAdvanced tasks now implemented in user-friendly programs or ArcGIS: centrality indices, wasteful commuting measure, p-median problem, and traffic simulation\u003c\/li\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEach 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.\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e","brand":"None","offers":[{"title":"Couverture rigide (2023 B)","offer_id":46841298649298,"sku":"9781466584723","price":281.5,"currency_code":"CAD","in_stock":false},{"title":"Couverture rigide (2023 A)","offer_id":46841298682066,"sku":"9781032266817","price":244.5,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0655\/8980\/5233\/files\/1_a0893669-b885-4964-be44-87a7046ffc6d.jpg?v=1781118227","url":"https:\/\/www.indigo.ca\/fr\/products\/quantitative-methods-and-socio-economic-applications-in-gis","provider":"Indigo","version":"1.0","type":"link"}