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Libri sul tema "Online GIS"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 1 febbraio 2022

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1

G, Green David. Online GIS and spatial metadata. London: Taylor & Francis, 2002.

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2

GIS online: Information retrieval, mapping, and the Internet. Santa Fe, NM: OnWord Press, 1997.

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3

Der neue Online-Handel: Erfolgsfaktoren und Best Practices. 2nd ed. Wiesbaden: Gabler, 2010.

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4

GIB-Fachtagung (5th 1997 Halle an der Saale, Germany). Schritte zur Qualitätsverbesserung von Bildungsinformationssystemen: Pragmatische Ansätze zur Akzeptanzsteigerung von Online- und Offline-Diensten ; 5. GIB-Factagung, 1. und 2. Oktober, 1997 in Halle. Berlin: GIB, 1998.

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5

Online GIS and Spatial Metadata. Taylor & Francis Group, 2015.

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6

Bossomaier, Terry, Brian A. Hope, and David R. Green. Online GIS and Spatial Metadata. CRC Press, 2001. http://dx.doi.org/10.4324/9780203306055.

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7

Bossomaier, Terry, and Brian A. Hope. Online GIS and Spatial Metadata. CRC Press, 2015. http://dx.doi.org/10.1201/b19465.

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8

Green, David R., and Terry Bossomaier. Online GIS and Spatial Metadata (Geographic Information Systems Workshop). CRC, 2001.

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9

Duncan, Dustin T., William C. Goedel, and Rumi Chunara. Quantitative Methods for Measuring Neighborhood Characteristics in Neighborhood Health Research. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190843496.003.0003.

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Abstract (sommario):

Research connecting neighborhoods and health has characterized neighborhood factors in multiple ways. This chapter discusses standard and emerging methods to measure and study neighborhood characteristics. In particular, this chapter provides an overview of neighborhood characteristic assessment methods, including self-report, systematic social observation, geographic information system (GIS) methods, Web-based geospatial methods, real-time geospatial methods, crowd-sourced geospatial methods, and information retrieval methods from online sources such as Instagram and Twitter. This chapter als

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10

Tufekci, Zeynep, and Carly Robins. Twitter and Tear Gas. Audible Studios on Brilliance, 2017.

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11

Sinicki, Adam. Thriving in the Gig Economy: Freelancing Online for Tech Professionals and Entrepreneurs. Apress, 2018.

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12

Tufekci, Zeynep. Twitter and tear gas: The power and fragility of networked protest. Yale University Press, 2017.

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13

Tufekci, Zeynep. Twitter and Tear Gas: The Power and Fragility of Networked Protest. Yale University Press, 2018.

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14

Holmes, Dawn E. Big Data: A Very Short Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780198779575.001.0001.

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Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world’s population, the amount of data generated each day became huge, and continues to grow exponentially. It includes all our uploaded documents, videos, and photos; all our social media traffic; our online shopping; even the GPS data from our cars. Big Data: A Very Short Introduction explains how big data works and is changing the world around us, the effect it has on our everyday lives and in the

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15

De Deyne, Cathy, and Jo Dens. Neurological assessment of the acute cardiac care patient. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0016.

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Abstract (sommario):

Many techniques are currently available for cerebral physiological monitoring in the intensive cardiac care unit environment. The ultimate goal of cerebral monitoring applied during the acute care of any patient with/or at risk of a neurological insult is the early detection of regional or global hypoxic/ischaemic cerebral insults. In the most ideal situation, cerebral monitoring should enable the detection of any deterioration before irreversible brain damage occurs or should at least enable the preservation of current brain function (such as in comatose patients after cardiac arrest). Most o

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16

De Deyne, Cathy, Ward Eertmans, and Jo Dens. Neurological assessment of the acute cardiac care patient. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199687039.003.0016_update_001.

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Abstract (sommario):

Many techniques are currently available for cerebral physiological monitoring in the intensive cardiac care unit environment. The ultimate goal of cerebral monitoring applied during the acute care of any patient with/or at risk of a neurological insult is the early detection of regional or global hypoxic/ischaemic cerebral insults. In the most ideal situation, cerebral monitoring should enable the detection of any deterioration before irreversible brain damage occurs or should at least enable the preservation of current brain function (such as in comatose patients after cardiac arrest). Most o

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