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Urban Analytics (Paperback)
Alex David Singleton, Seth Spielman, David Folch
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R1,184
Discovery Miles 11 840
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Ships in 9 - 15 working days
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The economic and political situation of cities has shifted in
recent years in light of rapid growth amidst infrastructure
decline, the suburbanization of poverty and inner city
revitalization. At the same time, the way that data are used to
understand urban systems has changed dramatically. Urban Analytics
offers a field-defining look at the challenges and opportunities of
using new and emerging data to study contemporary and future cities
through methods including GIS, Remote Sensing, Big Data and
Geodemographics. Written in an accessible style and packed with
illustrations and interviews from key urban analysts, this is a
groundbreaking new textbook for students of urban planning, urban
design, geography, and the information sciences.
Geocomputation is the use of software and computing power to solve
complex spatial problems. It is gaining increasing importance in
the era of the 'big data' revolution, of 'smart cities', of
crowdsourced data, and of associated applications for viewing and
managing data geographically - like Google Maps. This student
focused book: Provides a selection of practical examples of
geocomputational techniques and 'hot topics' written by world
leading practitioners. Integrates supporting materials in each
chapter, such as code and data, enabling readers to work through
the examples themselves. Chapters provide highly applied and
practical discussions of: Visualisation and exploratory spatial
data analysis Space time modelling Spatial algorithms Spatial
regression and statistics Enabling interactions through the use of
neogeography All chapters are uniform in design and each includes
an introduction, case studies, conclusions - drawing together the
generalities of the introduction and specific findings from the
case study application - and guidance for further reading. This
accessible text has been specifically designed for those readers
who are new to Geocomputation as an area of research, showing how
complex real-world problems can be solved through the integration
of technology, data, and geocomputational methods. This is the
applied primer for Geocomputation in the social sciences.
Geocomputation is the use of software and computing power to solve
complex spatial problems. It is gaining increasing importance in
the era of the 'big data' revolution, of 'smart cities', of
crowdsourced data, and of associated applications for viewing and
managing data geographically - like Google Maps. This student
focused book: Provides a selection of practical examples of
geocomputational techniques and 'hot topics' written by world
leading practitioners. Integrates supporting materials in each
chapter, such as code and data, enabling readers to work through
the examples themselves. Chapters provide highly applied and
practical discussions of: Visualisation and exploratory spatial
data analysis Space time modelling Spatial algorithms Spatial
regression and statistics Enabling interactions through the use of
neogeography All chapters are uniform in design and each includes
an introduction, case studies, conclusions - drawing together the
generalities of the introduction and specific findings from the
case study application - and guidance for further reading. This
accessible text has been specifically designed for those readers
who are new to Geocomputation as an area of research, showing how
complex real-world problems can be solved through the integration
of technology, data, and geocomputational methods. This is the
applied primer for Geocomputation in the social sciences.
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