[논문]공원 수목 데이터베이스를 활용한 시민 과학 기반 Mapbox 온라인 지도 시각화 및 활용 연구 - 서울숲 공원의 수종별 수목 데이터를 활용하여 -

김도은; 김성환; 최성우; 손용훈; 조경진

doi:10.13087/kosert.2022.25.4.49

[국내논문] 공원 수목 데이터베이스를 활용한 시민 과학 기반 Mapbox 온라인 지도 시각화 및 활용 연구 - 서울숲 공원의 수종별 수목 데이터를 활용하여 -
A Study on the Visualization and Utilization of Mapbox Online Map based on Citizen Science Using Park Tree Database - Focused on Data by Tree species in Seoul Forest Park - 원문보기

環境復元綠化 = Journal of the Korean Society of Environmental Restoration Technology, v.25 no.4, 2022년, pp.49 - 65

김도은 (서울대학교 환경대학원 협동과정 조경학) , 김성환 (서울대학교 환경대학원 환경조경학과) , 최성우 (한국방송통신대학교 통계데이터과학과) , 손용훈 (서울대학교 환경대학원 환경조경학과.환경계획연구소) , 조경진 (서울대학교 환경대학원 환경조경학과.환경계획연구소)

Abstract ▼ AI-Helper

Since trees in the city are green assets that create a healthy environment for the city, systematic management of trees improves urban ecosystem services. The sporadic urban tree information centered on the site is vast, and it is difficult to manage the data, so efforts to increase efficiency are needed. This paper summarizes tree data inventory based on data constructed by Seoul Green Trust activists and constructs and discloses online database maps using Tableau Software. In order to verify the utilization of the map, we divided into consumer and supplier aspects to collect various opinions and reflect feedback to implement tree database maps for each area and species of Seoul Forest. As a result, the utilization value of tree database in urban parks was presented. The technical significance of this study is to systematically record the process of constructing and implementing a dashboard directly using the Mapbox platform and Tableau Software in the field of landscaping for the first time in Korea. In addition, the implications and supplements of landscape information were derived by collecting user opinions on the results. This can be used as an exploratory basis in the process of developing online-based services such as web and apps by utilizing landscaping tree information in the future. Although the visualization database currently constructed has limitations that ordinary users cannot interact in both directions because it utilizes business intelligence tools in terms of service provision it has affirmed both the database construction and its usability in web public format. In the future it is essential to investigate the assets of the trees in the city park and to build a database as a public asset of the city. The survey participants positively recognized that information is intuitively presented based on the map and responded that it is necessary to provide information on the overall urban assets such as small parks and roadside trees by using open source maps in the future.

주제어

표/그림 (23)

그림 Figure 1. The website of the 30 million tree planting map in Seoul
그림 Figure 2. NYC Street Tree Map
그림 Figure 3. Portland Tree Inventory Project 홈페이지
그림 Figure 4. Research process flow
표 Table 1. Institutions that utilize tree databases
그림 Figure 5. Study area
표 Table 2. The items of tree inventory in the literature review and the items adopted in this study
그림 Figure 6. Reclassification and inventory building of tree data
그림 Figure 9. Dashboard design in Developer screen
그림 Figure 7. Satellite image (L) Mapbox maps (R) Google maps
그림 Figure 8. Street Maps (L) Mapbox customizing maps (R) Google maps
표 Table 3. Comparison of Mapbox Custom Maps and Google Maps Display of Park Items
그림 Figure 10. Seoul Forest Tree map – First step
표 Table 3. Demographic Characteristics of Mapbox Online Map Evaluator
표 Table 4. Top Questions about Mapbox Online Maps
그림 Figure 13. Adding Search Function (Highlight)
그림 Figure 14. Adding legends by theme map and planting type
표 Table 5. Key Feedback on Mapbox Online Maps
그림 Figure 11. The dashboard screen for the tree manager
그림 Figure 12. The location map screen for the park user
표 Table 6. Publish data forgathering user feedback
그림 Figure 15. Comparison of colony status by tree species based on satellite image and Mapbox map
그림 Figure 16. Tree data sharing on the mobile phone screen

참고문헌 (23)

30 million tree planting map in Seoul : https://map.seoul.go.kr/smgis2/extMap/30mtree
Cho Young Hwan & Gwak Haeng Goo. (1997). Study on Developing Program for Efficient Landscape Woody Plants Management - Mainly Focused on the Development of a Tree Inventory System -. Journal of the Korean Institute of Landscape Architecture, 24(4), 1-22.
Few, S. (C2006). Information dashboard design: The effective visual communication of data (Vol. 2). Sebastopol, CA: O'reilly.
HAN YUJIE. (2019). A Development of Instructional Strategies for Self-reflection Using Dashboard with a Focus on Online Discussion Activities (Doctoral dissertation, Seoul national university)
https://web.archive.org/web/20160602081725/http://www.washingtonpost.com/sf/brand-connect/wp/2013/07/22/the-new-cartographers/
Huh, Sang-Hyun& Shim, Kyung-Ku. (2001), Computerization for Management of Street Tree Using CAD, Journal of Korean institute of landscape architecture v.29 no.2
Kim, J, Kim, Y, & Kim, D. (2007). A Study on the Computerization Plan of Tree Management in Landscape Architecture at University Campus. Journal of the Korean Institute of Educational Facilities, 14(2), 5-15.
Korea Forest Service, (2020), Roadside Tree Creation Management Manual
Korea National Arboretum. : www.nature.go.kr
Lee, K. S., Kim, K. S., Hwang, K. W., & Shim, K. K. (1993). Development and application of the park tree management information system. Journal of the Korean Institute of Landscape Architecture, 21(3), 89-98.
Lee, K. W., & Park, J. K. (2020). Construction of Tree Management Information Using Point Cloud Data. Journal of Digital Convergence, 18(11), 427-432.

원문보기 상세보기
Lee, M. G. (2011). A study on establishment of tree management system and service for the Arboretum using GPS/RFID convergence and smart phone technology. Proceeding of Korean Society for Geospatial Information Science, (10), 115-119.
Lindhult, M. (1987). microcomputer-based tree management system. Journal of arboriculture.
McPherson, E. G., McCarter, J., & Baker, F. (1985). A microcomputer-based park tree inventory system. Journal of arboriculture (USA).
Nam, S., & Chung, Y. C. (2012). RFID location based tree management system (TMS) using insertion UHF RFID tag and GPS. The Journal of Korean Institute of Communications and Information Sciences, 37(10), 909-914.
New York City Street Tree Map (https://tree-map.nycgovparks.org/tree-map)
Plant Tracker (https://planttracker.nybg.org/map)
Portland city policy map(https://www.portland.gov/trees/get-involved/treeinventory)
Steve Wexler, Jeffrey Shaffer, Andy Cotgreave (2017). The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
Wexler, S., Shaffer, J., & Cotgreave, A. (2017). The big book of dashboards: visualizing your data using real-world business scenarios. John Wiley & Sons.
Won, S. K., Wan, K. J., & Kyu, K. D. (2007). Developing the Management Program for Tree Burial Forest Using Radio Frequency Identification (RFID). Journal of Korean Institute Of Forest Recreation, 11(2), 35-41.
Won-Ju Kim.Jee-Ah Kang.Jae-Hyeong Kim.Woo-Chan Kim.Jin-Hae Chae(2017) Improvement of Forest Management in Neighborhood Park. The Seoul Institute Annual Research Digest
Yang, M. J., Lee, D. H., Ko, H. W., Kim, Y. H., & Nam, H. J. (2012). A qualitative study on perception of helping professionals working for the culturally diverse adolescents. Korea Journal of Counseling, 13(3), 1181-1209.

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