Analysis of Spatial Density Utilizing the Big Data of Floating Population of Seoul City

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Video in TIB AV-Portal: Analysis of Spatial Density Utilizing the Big Data of Floating Population of Seoul City

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Title
Analysis of Spatial Density Utilizing the Big Data of Floating Population of Seoul City
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CC Attribution - NonCommercial - ShareAlike 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license.
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Release Date
2015
Language
English
Producer
FOSS4G KOREA
Production Year
2015
Production Place
Seoul, South Korea

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Abstract
This article aims at dealing with the inconveniences—associated with places—the foreign tourists are experiencing by utilizing the big data technology. It analyzes the spatial density of floating population of foreign tourists and suggests a variety of applications based on the results. This thesis associates the roaming big data of foreign tourists with Geographic Information System(GIS) to analyze the floating population density by location, time, and country. It uses R-Studio, a statistical computing software, and QGIS, an open source GIS software to visualize the data on a map. The first step to conduct the research is to open CSV format data and set variables for analysis. Then it analyzes the spatial density of floating population of foreign tourists sorted by time, location, and country, and the number of visitors is ranked for each location. Based on the analysis results, the data are visualized on a map through QGIS. Lastly, several adjacent target points—base stations—for certain locations are matched, and the necessary data are sampled out of them. This paper selects fourteen locations whose floating population of foreign tourists is dense: Gyeongbok Palace, Namsan Hanok Village, Deoksu Palace, Insadong, Myeongdong, Namdaemun Market, Dongdaemun Market, Garosu-gil, Apgujeongdong, Itaewon, Hongik University Entrance, Gangnam Station, COEX, and Lotte World. Moreover, it categorizes fourteen places into historical, shopping, and complex attraction and delves into the pattern or characteristics of floating population according to the categories; the categorized results directly show the distinct preferences for places and visiting time period. (Although the names of the countries the tourists are from are not provided in the roaming data of foreign tourists, they could be readily inferred from the comparison of the analysis results to the survey conducted by Korea Chamber of Commerce and Industry.) This research paper makes four pragmatic proposals in order to alleviate the inconveniences regarding the signposts, bus route, and insufficient tourist information centers; it suggests to add languages in the signposts for certain locations, modify the current route of the city tour bus, and build additional tourist information centers in several sites where floating population of foreign tourists turns out to be dense. The degree of correspondence between the analysis results and reality is examined via field inspection. Recently, tremendous amount of data is produced and open to public, which leads to the enhancement of transparency. This article, which connects the big data to GIS technology, would be one of the significant cases of effectual spatial decision.
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Lecture/Conference
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the lines of Wiltshire Professor drawn to their pronounce it right and fellow participants no audience I'm very honored to present my paper analysis of spatial density utilizing the Big Data of floating population of some city in the academic track the 1st 4 G conference In this presentation I will be 1st mentioning how and why initiated this research the that have been focus then the title and I'm and throughout the research the software I use for the analysis the procedure through which conducted this analysis of the results of the analysis will be demonstrated in 2 aspects 1st on and I'll provide you with a view of the spatial density of foreign tourists and solve the and further down into the 5 significant areas with the analysis results are not that in the latter part of my presentation I introducing new applications based on the results of an office currently but there was a
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