Understanding human activities in green areas with social media data

Forskningsoutput: TidskriftsbidragKonferensartikelVetenskapligPeer review

Sammanfattning

Up-to-date information about human-nature interactions are urgently needed to inform sustainable land use planning and nature conservation. Large amounts of content-rich geographic data are produced continuously by users of different social media platforms across the globe containing information about the whereabouts and activities of people. Such data, combined with other sources of data, have potential to provide new and useful information about human presence, activities, observations and movements at different spatial and temporal scales. Despite many examples in other fields, location-based social media data have not been widely used in nature conservation. This work aims to
understand the potential and biases in geographic social media data in order to inform conservation-related decision making across scales. Main objectives of the work are to 1) extract meaningful patterns related to human-nature interactions in green areas from location-based social media, while 2) understanding the biases and limitations of the data. Firstly, the aim is to position location-based social media data among other sources of user-generated geographic information and to identify the useful elements and limiting factors of using such data in conservation science. Secondly, the aim is to understand who the data represents in order to derive further information about green area users. Lastly, user-generated data is combined and contrasted with other data sources to understand the spatial and temporal patterns of human actions, and potential threats in areas of high conservation value at regional and global scales.
Originalspråkengelska
TidskriftCEUR Workshop Proceedings
Volym2088
Antal sidor4
ISSN1613-0073
StatusPublicerad - apr 2018
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangAGILE PhD School - Leeds, Storbritannien
Varaktighet: 30 okt 20172 nov 2017
Konferensnummer: 4

Vetenskapsgrenar

  • 519 Socialgeografi och ekonomisk geografi

Citera det här

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title = "Understanding human activities in green areas with social media data",
abstract = "Up-to-date information about human-nature interactions are urgently needed to inform sustainable land use planning and nature conservation. Large amounts of content-rich geographic data are produced continuously by users of different social media platforms across the globe containing information about the whereabouts and activities of people. Such data, combined with other sources of data, have potential to provide new and useful information about human presence, activities, observations and movements at different spatial and temporal scales. Despite many examples in other fields, location-based social media data have not been widely used in nature conservation. This work aims tounderstand the potential and biases in geographic social media data in order to inform conservation-related decision making across scales. Main objectives of the work are to 1) extract meaningful patterns related to human-nature interactions in green areas from location-based social media, while 2) understanding the biases and limitations of the data. Firstly, the aim is to position location-based social media data among other sources of user-generated geographic information and to identify the useful elements and limiting factors of using such data in conservation science. Secondly, the aim is to understand who the data represents in order to derive further information about green area users. Lastly, user-generated data is combined and contrasted with other data sources to understand the spatial and temporal patterns of human actions, and potential threats in areas of high conservation value at regional and global scales.",
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Understanding human activities in green areas with social media data. / Heikinheimo, Vuokko Vilhelmiina.

I: CEUR Workshop Proceedings, Vol. 2088, 04.2018.

Forskningsoutput: TidskriftsbidragKonferensartikelVetenskapligPeer review

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AU - Heikinheimo, Vuokko Vilhelmiina

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AB - Up-to-date information about human-nature interactions are urgently needed to inform sustainable land use planning and nature conservation. Large amounts of content-rich geographic data are produced continuously by users of different social media platforms across the globe containing information about the whereabouts and activities of people. Such data, combined with other sources of data, have potential to provide new and useful information about human presence, activities, observations and movements at different spatial and temporal scales. Despite many examples in other fields, location-based social media data have not been widely used in nature conservation. This work aims tounderstand the potential and biases in geographic social media data in order to inform conservation-related decision making across scales. Main objectives of the work are to 1) extract meaningful patterns related to human-nature interactions in green areas from location-based social media, while 2) understanding the biases and limitations of the data. Firstly, the aim is to position location-based social media data among other sources of user-generated geographic information and to identify the useful elements and limiting factors of using such data in conservation science. Secondly, the aim is to understand who the data represents in order to derive further information about green area users. Lastly, user-generated data is combined and contrasted with other data sources to understand the spatial and temporal patterns of human actions, and potential threats in areas of high conservation value at regional and global scales.

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