Big data and human geography

Kitchin, Rob

doi:10.1177/2043820613513388

Cited by 461 publications

(126 citation statements)

References 13 publications

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“…Big data means various data created quickly such as figure data, image data, text data [29,30]. Although there has been big data for a long time in the world, due to a lack of technology for collecting, processing and analyzing data, it is difficult to utilize the big data.…”

Section: Open Data Policy and Use Cases In Many Fieldsmentioning

confidence: 99%

Development of Easily Accessible Electricity Consumption Model Using Open Data and GA-SVR

2018

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Abstract:In many countries, DR (Demand Response) has been developed for which customers are motivated to save electricity by themselves during peak time to prevent grand-scale blackouts. One of the common methods in DR, is CPP (Critical Peak Pricing). Predicting energy consumption is recognized as one of the tool for dealing with CPP. There are a variety of studies in developing the model of energy consumption, which is based on energy simulation, data-driven model or metamodelling. However, it is difficult for general users to use these models due to requirement of various sensing data and expertise. And it also takes long time to simulate the models. These limitations can be an obstacle for achieving CPP's purpose that encourages general users to manage their energy usage by themselves. As an alternative, this research suggests to use open data and GA (Genetic Algorithm)-SVR (Support Vector Regression). The model is applied to a hospital in Korea and 34,636 data sets (1 year) are collected while 31,756 (11 months) sets are used for training and 2880 sets (1 month) are used for validation. As a result, the performance of proposed model is 14.17% in CV (RMSE), which satisfies the Korea Energy Agency's and ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers) error allowance range of ±30%, and ±20% respectively.

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Section: Open Data Policy and Use Cases In Many Fieldsmentioning

confidence: 99%

Development of Easily Accessible Electricity Consumption Model Using Open Data and GA-SVR

2018

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“…Big Data has been characterized by certain features: massive in size; created and collected rapidly in real time; diverse in its variety-being both structured and unstructured; exhaustive in its scope, as it endeavors to collect data from the most amount of people at any given time; highly detailed; relational, even as the data may be conjoined and interconnected; and, flexible in that it may be molded differently in terms of size and field [29,30].…”

Section: Big Data and Smart Citiesmentioning

confidence: 99%

“…The results of analysis made predictions about the spread of the flu in later years [31]. And while, in recent years there has been criticism of the study and its inaccuracies, there is no doubt that the analysis of Big Data can be valuable [26,29]. Today, there are also other concerns about the infallibility of Big Data, including its vulnerabilities to hackers, and of course to being (mis)interpreted to serve the interest of big business and politics [30].…”

Section: Big Data and Smart Citiesmentioning

confidence: 99%

Smart Cities, Big Data, and Sustainability Union

Kudva

2017

BDCC

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Media convergence has changed relationships between existing technologies, industries, markets, and audiences. Smart cities are seen as the logical outcome of media convergence. Big Data form the basis and the output of smart technologies. In the last twenty years, there has been much discussion on smart cities, big data, and the need for sustainability in technological endeavors. This article combines these by providing an overview of the three subjects about their points of intersection. Identifying these points of intersection will help smart city researchers to better understand where there is need for further development towards better standards of living and increased sustainability. This review will provide directions for further research and provide a brief historical overview of how far research has come in the three intertwined identified areas towards designing, adapting, and managing smarter communities.

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“…Por otra parte, se puede considerar que la Neogeografía es solo un ejemplo de lo que ahora se denomina BIG data (PUMAIN, 2014;GRAHAM y SHELTON, 2013;KITCHIN, 2013), es decir la explosión de nuevos datos personales, y de otros muchos tipos, que la actividad diaria de personas y de cosas genera de continuo. La razón principal es que, de muchas formas distintas, las personas y las cosas, sobre todo en las ciudades, están monitorizadas continuamente, generando datos, muchos, o casi todos ellos, georreferenciados y que se almacenan en diversos repositorios, unos públicos y otros más privados.…”

Section: El Big Data Y La Neogeografíaunclassified

Neogeografía, Big Data y TIG: problemas y nuevas posibilidades

Sendra

2015

Polígonos

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RESUMEN:La Neogeografía y el BIG data están cambiando la manera de investigar en Geografía, el desarrollo de estos enfoques se basa mucho en la aparición de novedades tecnológicas, en particular de nuevas tecnologías de la información geográfica: GPS, SIG, etc. PALABRAS CLAVE: Neogeografia, GPS, SIG, Ciencia ciudadana, BIG data. NEOGEOGRAPHY, BIG DATA AND TIG: PROBLEMS AND POSSIBILITIES ABSTRACT:The Neogeography and the BIG data are changing the way research in geography, the development of this approach is very much based on the emergence of new technologies, in particular in new technologies of geographic information: GPS, GIS, etc. KEY WORDS: GPS, GIS, Neogeography, science citizen, BIG data.En los últimos años han surgido nuevas maneras de realizar estudios y aportaciones geográficas, las denominadas Neogeografía, Geografía voluntaria, y quizá otras similares, que han ampliado bastante el tradicional enfoque de la disciplina de la Geografía. Este trabajo intenta plantear y analizar brevemente estos temas y, en especial, sus conexiones con las Tecnologías de la información geográfica. I. DEFINICIONES DE NEOGEOGRAFÍALa Neogeografía, y/o la Geografía voluntaria, se puede considerar que constituyen un nuevo saber geográfico a añadir a los otros tres o cuatro que ya planteó Y. Lacoste hace años (la geografía de los profesores, la geografía de los estados mayores,…). Según M. GOODCHILD (2007) la Neogeografía/Geografía voluntaria se define como la participación de actores voluntarios, a veces con ninguna formación previa en cuestiones geográficas, en la elaboración de datos territoriales que se ponen al servicio de todos en Internet. Sin embargo otras personas definen la Neogeografía de un modo más amplio, y,

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Big data and human geography

Cited by 461 publications

References 13 publications

Development of Easily Accessible Electricity Consumption Model Using Open Data and GA-SVR

Development of Easily Accessible Electricity Consumption Model Using Open Data and GA-SVR

Smart Cities, Big Data, and Sustainability Union

Neogeografía, Big Data y TIG: problemas y nuevas posibilidades

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