2019k - Revision history

Scipediacontent at 13:54, 5 March 2021

2021-03-05T13:54:11Z

Scipediacontent at 13:53, 5 March 2021

2021-03-05T13:53:28Z

Scipediacontent: Scipediacontent moved page Draft Content 378752456 to 2019k

2021-01-28T21:37:14Z

Scipediacontent moved page Draft Content 378752456 to 2019k

Scipediacontent: Created page with "== Abstract == Number of studies covering major data aspects of OpenStreetMap (OSM) for developed cities and countries are available in scientific literature. Howeve..."

2021-01-28T21:37:07Z

Created page with "== Abstract == <jats:p>Number of studies covering major data aspects of OpenStreetMap (OSM) for developed cities and countries are available in scientific literature. Howeve..."

New page

== Abstract ==

Number of studies covering major data aspects of OpenStreetMap (OSM) for developed cities and countries are available in scientific literature. However, this is not the case for developing ones mainly because of low data availability in OSM. This study presents a time-series spatial analysis of Turkey OSM dataset, a developing country, between the year 2007 and 2015 to understand how the dataset has developed with time and space. Five different socio-economic factors of the region are tested to find their relationship, if any, with dataset growth. An east-west spatial trend in data density is observed within the country. Population Density and Literacy Level of the region are found be the factors controlling it. It has also been observed that the street network of the region has followed the Exploration and Densification evolutionary model. High participation inequality is found within the OSM mappers, with only 5 of them responsible for the country’s 50% geo-data upload. Furthermore, it is found that these mappers use other Volunteered Geographic Information (VGI) and government open-dataset to feed into OSM. This study is believed to bring some high level insights of OSM for a developing country which would be useful for geographers, open-data policy makers, VGI projects planners and data-curators to structure and deploy similar future projects.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_378752456-beopen1459-5387-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://www.degruyter.com/downloadpdf/journals/geo/11/1/article-p140.pdf https://www.degruyter.com/downloadpdf/journals/geo/11/1/article-p140.pdf] under the license https://creativecommons.org/licenses/by

* [http://www.degruyter.com/view/j/geo.2019.11.issue-1/geo-2019-0012/geo-2019-0012.xml http://www.degruyter.com/view/j/geo.2019.11.issue-1/geo-2019-0012/geo-2019-0012.xml],
: [http://www.degruyter.com/view/j/geo.2019.11.issue-1/geo-2019-0012/geo-2019-0012.pdf http://www.degruyter.com/view/j/geo.2019.11.issue-1/geo-2019-0012/geo-2019-0012.pdf],
: [http://dx.doi.org/10.1515/geo-2019-0012 http://dx.doi.org/10.1515/geo-2019-0012] under the license cc-by

* [http://www.degruyter.com/view/j/geo.2019.11.issue-1/geo-2019-0012/geo-2019-0012.xml?format=INT http://www.degruyter.com/view/j/geo.2019.11.issue-1/geo-2019-0012/geo-2019-0012.xml?format=INT],
: [https://doaj.org/toc/2391-5447 https://doaj.org/toc/2391-5447] under the license http://creativecommons.org/licenses/by/4.0

* [https://www.degruyter.com/view/journals/geo/11/1/article-p140.xml?language=en https://www.degruyter.com/view/journals/geo/11/1/article-p140.xml?language=en],
: [https://ui.adsabs.harvard.edu/abs/2019OGeo...11...12Z/abstract https://ui.adsabs.harvard.edu/abs/2019OGeo...11...12Z/abstract],
: [https://academic.microsoft.com/#/detail/2940206239 https://academic.microsoft.com/#/detail/2940206239]

* [ ]

@@ Line 1: / Line 1: @@
 == Abstract ==
-Number of studies covering major data aspects of OpenStreetMap (OSM) for developed cities and countries are available in scientific literature. However, this is not the case for developing ones mainly because of low data availability in OSM. This study presents a time-series spatial analysis of Turkey OSM dataset, a developing country, between the year 2007 and 2015 to understand how the dataset has developed with time and space. Five different socio-economic factors of the region are tested to find their relationship, if any, with dataset growth. An east-west spatial trend in data density is observed within the country. <jats:italic>Population Density</jats:italic> and <jats:italic>Literacy Level</jats:italic> of the region are found be the factors controlling it. It has also been observed that the street network of the region has followed the Exploration and Densification evolutionary model. High participation inequality is found within the OSM mappers, with only 5 of them responsible for the country’s 50% geo-data upload. Furthermore, it is found that these mappers use other Volunteered Geographic Information (VGI) and government open-dataset to feed into OSM. This study is believed to bring some high level insights of OSM for a developing country which would be useful for geographers, open-data policy makers, VGI projects planners and data-curators to structure and deploy similar future projects.
+Number of studies covering major data aspects of OpenStreetMap (OSM) for developed cities and countries are available in scientific literature. However, this is not the case for developing ones mainly because of low data availability in OSM. This study presents a time-series spatial analysis of Turkey OSM dataset, a developing country, between the year 2007 and 2015 to understand how the dataset has developed with time and space. Five different socio-economic factors of the region are tested to find their relationship, if any, with dataset growth. An east-west spatial trend in data density is observed within the country. ''Population Density'' and ''Literacy Level'' of the region are found be the factors controlling it. It has also been observed that the street network of the region has followed the Exploration and Densification evolutionary model. High participation inequality is found within the OSM mappers, with only 5 of them responsible for the country’s 50% geo-data upload. Furthermore, it is found that these mappers use other Volunteered Geographic Information (VGI) and government open-dataset to feed into OSM. This study is believed to bring some high level insights of OSM for a developing country which would be useful for geographers, open-data policy makers, VGI projects planners and data-curators to structure and deploy similar future projects.
 Document type: Article

@@ Line 1: / Line 1: @@
 == Abstract ==
- <jats:p>Number of studies covering major data aspects of OpenStreetMap (OSM) for developed cities and countries are available in scientific literature. However, this is not the case for developing ones mainly because of low data availability in OSM. This study presents a time-series spatial analysis of Turkey OSM dataset, a developing country, between the year 2007 and 2015 to understand how the dataset has developed with time and space. Five different socio-economic factors of the region are tested to find their relationship, if any, with dataset growth. An east-west spatial trend in data density is observed within the country. <jats:italic>Population Density</jats:italic> and <jats:italic>Literacy Level</jats:italic> of the region are found be the factors controlling it. It has also been observed that the street network of the region has followed the Exploration and Densification evolutionary model. High participation inequality is found within the OSM mappers, with only 5 of them responsible for the country’s 50% geo-data upload. Furthermore, it is found that these mappers use other Volunteered Geographic Information (VGI) and government open-dataset to feed into OSM. This study is believed to bring some high level insights of OSM for a developing country which would be useful for geographers, open-data policy makers, VGI projects planners and data-curators to structure and deploy similar future projects.
+Number of studies covering major data aspects of OpenStreetMap (OSM) for developed cities and countries are available in scientific literature. However, this is not the case for developing ones mainly because of low data availability in OSM. This study presents a time-series spatial analysis of Turkey OSM dataset, a developing country, between the year 2007 and 2015 to understand how the dataset has developed with time and space. Five different socio-economic factors of the region are tested to find their relationship, if any, with dataset growth. An east-west spatial trend in data density is observed within the country. <jats:italic>Population Density</jats:italic> and <jats:italic>Literacy Level</jats:italic> of the region are found be the factors controlling it. It has also been observed that the street network of the region has followed the Exploration and Densification evolutionary model. High participation inequality is found within the OSM mappers, with only 5 of them responsible for the country’s 50% geo-data upload. Furthermore, it is found that these mappers use other Volunteered Geographic Information (VGI) and government open-dataset to feed into OSM. This study is believed to bring some high level insights of OSM for a developing country which would be useful for geographers, open-data policy makers, VGI projects planners and data-curators to structure and deploy similar future projects.
 Document type: Article

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