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Libros sobre el tema "Online GIS"

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Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 1 de febrero de 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. 2^a 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 y 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 y 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. y Terry Bossomaier. Online GIS and Spatial Metadata (Geographic Information Systems Workshop). CRC, 2001.

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9

Duncan, Dustin T., William C. Goedel y 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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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 also discusses the strengths and limitations of each neighborhood characteristic assessment method (e.g., ease of administration, validity), and readers are provided with examples of each neighborhood assessment method applied in the epidemiology and population health literature.

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10

Tufekci, Zeynep y 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 business world, and it considers the attendant security risks.

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15

De Deyne, Cathy y 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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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 of the information that affects bedside care of patients with acute neurologic disturbances is now derived from clinical examination and from knowledge of the pathophysiological changes in cerebral perfusion, cerebral oxygenation, and cerebral function. Online monitoring of these changes can be realized by many non-invasive techniques, without neglecting clinical examination and basic physiological variables such as invasive arterial blood pressure monitoring or arterial blood gas analysis.

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16

De Deyne, Cathy, Ward Eertmans y 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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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 of the information that affects bedside care of patients with acute neurologic disturbances is now derived from clinical examination and from knowledge of the pathophysiological changes in cerebral perfusion, cerebral oxygenation, and cerebral function. Online monitoring of these changes can be realized by many non-invasive techniques, without neglecting clinical examination and basic physiological variables—with possible impact on optimal cerebral perfusion/oxygenation—such as invasive arterial blood pressure monitoring or arterial blood gas analysis.

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