Quantitative methods and socio-economic applications in GIS pdf

Fahui Wang è Cyril & Tutta Vetter Alumni Professor ed ex presidente del dipartimento (2014-2020) presso il Dipartimento di geografia e antropologia, Louisiana State University. Ha conseguito il B.S. in geografia presso l'Università di Pechino, Cina (1988), e M.A. in economia (1993) e PhD in pianificazione urbana e regionale (1995) presso la Ohio State University. Ha ricevuto l'LSU Rainmaker Award per l'eccezionale ricerca, borsa di studio e attività creativa (2015) e l'LSU Distinguished Faculty Award (2018). I suoi interessi di ricerca includono applicazioni GIS in geografia umana (urbana, economica, dei trasporti), pianificazione urbana e regionale e politiche pubbliche (crimine e salute). Secondo Scopus con il congelamento dei dati al 6 maggio 2020, è tra i primi ricercatori più citati dell'1% in Geografia (precisamente, 159° su 27.592) al mondo.

Quantitative methods and socio-economic applications in GIS pdf da 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