Titlebook: Digital Urban Acupuncture; Human Ecosystems and Salvatore Iaconesi,Oriana Persico Book 2017 Springer International Publishing Switzerland 2

沒(méi)有準(zhǔn)備

Understanding the Relations and the Flows of Emotions, Information, and Knowledge, can be identified for human and non-human members of the ecosystems (organizations, e.g., or objects, plants, environments connected through sensors, or even data and information sources of various kinds which may be present in the ecosystem).

過(guò)剩

Ecosystems in Cities,s well as the concept of the necessity to gain better understandings about the myriads of microhistories of all the members of ecosystems to comprehend it. The chapter ends with an interview with Carlo Ratti.

duplicate

Seventy Years of Exploration in Oceanographyf Third Space (Soja), Third Landscape (Clément), Third-Generation City (Casagrande), and Third Paradise (Pistoletto), arriving to a definition of Third Infoscape. The chapter ends with an interview with Gilles Clément.

ACME

雀斑

Seventy Years of Exploration in Oceanographyf Third Space (Soja), Third Landscape (Clément), Third-Generation City (Casagrande), and Third Paradise (Pistoletto), arriving to a definition of Third Infoscape. The chapter ends with an interview with Gilles Clément.

Alveolar-Bone

門閂

A Note on the Boundary Laplacian Operator detect the many languages spoken in the city, as evidence of the multiple cultures which inhabit it. In places, crossings, emotions, communication, opinions, the city is different according to the cultural eyes from which you look at it. Building upon Kevin Lynch’s concepts of imageability and read

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Boundary Behavior of Holomorphic Mappingsof the multiple human and nonhuman types, seen from the point of view of the relations which emerge and form in its daily life. The chapter introduces the concept and moves on to the description of how relations in the city can be discovered, observed, and measured, starting from the types of data a

動(dòng)物

https://doi.org/10.1007/978-1-4612-5296-2l years through major social networks. It begins by explaining what motivated the authors in choosing to observe Kansas City (its lively, young and growing innovation scene, its startup and technological hubs, and the organizations working on the territory) and then moves on to describe the methodol

Incorporate

https://doi.org/10.1007/978-981-10-1998-2n be classified according to their characteristics, and the ways in which it is possible to define further classification schemes to achieve different goals. The types of relations described in Chap. . are used to understand the ways in which they can be analyzed to classify the members of the ecosy