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This textbook and lab manual set integrates GIS, spatial analysis,
and computational methods for solving real-world problems in
various policy-relevant social science applications. Thoroughly
updated, the third edition of the textbook, and its accompanying
lab manual, showcase the best practices of spatial computational
social science and include numerous new examples and case studies
with step-by-step instructions in ArcGIS Pro, and open-source
platform KNIME. KNIME supports visual programming and multiple
scripting language such as R, Python, and Java. It helps readers
sharpen their GIS skills by applying GIS techniques in detecting
spatiotemporal crime hot spots, measuring accessibility of primary
care physicians, forecasting the impact of hospital closures on
local community, or siting the best locations for business.
Features Fully updated using the latest version of ArcGIS Pro and
open-source platform KNIME Includes many compelling examples and
real-world case studies related to social science, urban planning,
and public policy with clear step-by-step instructions Provides
newly automated programs for regionalization, functional region
delineation, accessibility measures, maximal accessibility equality
problem, and agent-based crime simulation Includes 22 case studies
from USA and China that parallel the methods developed in the
textbook and enable readers to easily replicate and expand their
work Adds two new chapters on agent-based modeling and big data
analytics Provides support materials for downloading data and
programs for implementing all case studies included in the book and
the KNIME lab manual This set is intended for upper-level
undergraduate and graduate students taking courses in quantitative
geography, spatial analysis, GIS applications in socioeconomic
studies, GIS applications in business, location theory. Researchers
in similar fields: geography, city and regional planning,
sociology, criminology, public health, and public administration.
Fully updated using the latest version of ArcGIS Pro and
open-source platform KNIME. Features two brand new chapters on
agent-based modeling and big data analytics. Provides newly
automated tools for regionalization, functional region delineation,
accessibility measures, planning for maximum equality in
accessibility, and agent-based crime simulation. Includes many
compelling examples and real-world case studies related to social
science, urban planning, and public policy. Provides a web site for
downloading data and programs for implementing all case studies
included in the Lab Manual.
The first hands-on, open source, KNIME lab manual written in
tutorial style and focused on GIS applications in Social Sciences
Includes 22 case studies from USA and China that parallel the
methods developed in the textbook Provides clear step-by-step
explanations on how to use open-source platform KNIME to understand
basic and advanced analytical methods through real life case
studies Enables readers to easily replicate and expand their work
with new data and models A valuable guide for students and
practitioners worldwide engaged in efforts to develop GIS
automation in spatial analysis Provides support materials for
downloading data and programs for implementing all case studies
included in the book and the KNIME lab manual
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