Name: Spatial Planning in the Big Data Revolution (en Inglés)
SKU: 59840104
Price: 152410.00 CLP
Availability: InStock
Author: Voghera, Angioletta ; La Riccia, Luigi
ISBN: 9781522593010

portada Spatial Planning in the Big Data Revolution (en Inglés)

Spatial Planning in the Big Data Revolution (en Inglés)

Formato

Libro Físico

Editorial

Engineering Science Reference

Autor

Voghera, Angioletta ; La Riccia, Luigi

Idioma

Inglés

N° páginas

400

Encuadernación

Tapa Blanda

Dimensiones

25.4x17.8x2.1 cm

Peso

0.69 kg.

ISBN13

9781522593010

Categorías

Sistemas de información geográfica (sig) y percepción remota
Planificación y gestión urbana y municipal
Tecnología de la información: cuestiones generales

Spatial Planning in the Big Data Revolution (en Inglés)

Voghera, Angioletta ; La Riccia, Luigi (Autor) · Engineering Science Reference · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 22 días háb.

$ 254.010$ 152.410

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 152.410

Llega entre el 13 Oct y el 20 Oct a Santiago, Región Metropolitana. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Spatial Planning in the Big Data Revolution (en Inglés)"

Through interaction with other databases such as social media, geographic information systems have the ability to build and obtain not only statistics defined on the flows of people, things, and information but also on perceptions, impressions, and opinions about specific places, territories, and landscapes. It is thus necessary to systematize, integrate, and coordinate the various sources of data (especially open data) to allow more appropriate and complete analysis, descriptions, and elaborations. Spatial Planning in the Big Data Revolution is a critical scholarly resource that aims to bring together different methodologies that combine the potential of large data analysis with GIS applications in dedicated tools specifically for territorial, social, economic, environmental, transport, energy, real estate, and landscape evaluation. Additionally, the book addresses a number of fundamental objectives including the application of big data analysis in supporting territorial analysis, validating crowdsourcing and crowdmapping techniques, and disseminating information and community involvement. Urban planners, architects, researchers, academicians, professionals, and practitioners in such fields as computer science, data science, and business intelligence will benefit most from the research contained within this publication.