Data, architecture and the experience of place / edited by Anastasia Karandinou.

Format:

Book

Contributor:

Karandinou, Anastasia, editor.

Language:

English

Subjects (All):

Architecture--Human factors--Data processing.

Architecture.

Design--Human factors--Data processing.

Design.

Architecture and science.

Design--Human factors.

Architecture--Human factors.

Physical Description:

xiii, 236 pages : illustrations, maps ; 24 cm

Place of Publication:

Abingdon, Oxon ; New York : Routledge, 2019.

Contents:

Data and the experience of place : the use of data in contemporary spatial and cultural studies / ‡r Anastasia Karandinou

‡t Data Science in the Age of Big Data: Opportunities and Challenges / ‡r Constantinos Daskalakis

‡t Data + Multimer: Mapping human signals for improved spatial design / ‡r Arlene Ducao

‡t Data, Emotion, Space: FELT communication through computational textile texture / ‡r Felecia Davis

‡t Responsive surface design informed by immersive data visualization / ‡r Matthew Wagner

‡t Data and Comfort assessment: examining the suitability of physiological sensors for assessing comfort in an everyday environment / ‡r Trevor Keeling, Etienne Roesch and Derek Clements-Croome

‡t Data and wayfinding at Thamesmead: Applying geolocation and EEG recordings of brain activity for navigation design / ‡r Bridget Snaith and Sven Mündner

‡t Virtual reality and EEG Data: Understanding spatial transitions / ‡r Dorothea Kalogianni and Richard Coyne

‡t Data and GPS systems; Comparing navigation and landmark knowledge between GPS Users and Non-GPS Users / ‡r Negar Ahmadpoor and Tim Heath

‡t Data and Emotions: Mapping of Beirut Central District through physiological emotions / ‡r Roua Ghosh and Samer El Sayary

‡t Data and 'Social'/ 'Sexual' encounters in the city: mappings of potential embodied experiences through geo-locative dating apps / ‡r Phevos Kallitsis

‡t Towards a Computer Aided Epistemology of Architecture / ‡r Alejandro Mieses Castellanos

‡t Data and Politics of Information: Rezoning New York City through Big Data Pablo / ‡r Lorenzo-Eiroa

‡g Index

Notes:

Includes bibliographical references and index.

ISBN:

9780815352464

0815352468

9780815352488

0815352484

OCLC:

1045664072