Quantitative methods and socio-economic applications in GIS PDF

Fahui Wang ist Cyril & Tutta Vetter Alumni Professor und ehemaliger Lehrstuhlinhaber (2014-2020) am Lehrstuhl für Geographie und Anthropologie der Louisiana State University. Er hat den B.S. in Geographie von der Peking University, China (1988) und M.A. in Wirtschaftswissenschaften (1993) und PhD in Stadt- und Regionalplanung (1995) von der Ohio State University. Er erhielt den LSU Rainmaker Award für herausragende Forschung, Wissenschaft und kreative Tätigkeit (2015) und den LSU Distinguished Faculty Award (2018). Seine Forschungsinteressen umfassen GIS-Anwendungen in der Humangeographie (Stadt-, Wirtschafts-, Verkehrswesen), Stadt- und Regionalplanung sowie der öffentlichen Politik (Kriminalität und Gesundheit). Laut Scopus mit Datenstopp vom 6. Mai 2020 gehört er zu den 1% der am häufigsten zitierten Forscher in Geographie (genauer, 159. von 27.592) der Welt.

Quantitative methods and socio-economic applications in GIS pdf von Fahui Wang

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 issue. Read more... Abstract: 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 issue