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2024 Vol.11, Issue 4 Preview Page

Original Article

An Open-Source Software-Based Unified Framework for Efficient Ecosystem Monitoring

효율적인 생태계 모니터링을 위한 오픈 소스 소프트웨어 기반 통합 프레임워크

Minwoo Oh1
,
Hyohyemi Lee2
,
Eun Ju Lee3*
오 민우1
,
이 효혜미2
,
이 은주3*
1Researcher, Ecological Observation Team, National Institute of Ecology, Seocheon 33657, Korea
2Team Leader, Ecological Observation Team, National Institute of Ecology, Seocheon 33657, Korea
3Professor, Department of Life Sciences, Seoul National University, Seoul 08826, Korea
1국립생태원 기후생태관측팀 전문위원
2국립생태원 기후생태관측팀 팀장
3서울대학교 생명과학부 교수
*Corresponding Author
31 December 2024. pp. 165-176
PDF XML Citation
Abstract

Ecosystem monitoring has traditionally been performed by recording species and environmental data on paper, which is later digitized for analysis. However, this approach is inefficient due to challenges in spatial data collection, input errors, and the time required for analysis preparation. This study proposes an integrated framework using open-source software (QGIS, QField, PostgreSQL/PostGIS, and R Shiny) to efficiently collect, store, and analyze data. This framework collects spatial and species information in the field through a mobile GIS collector QField, based on a GIS project file generated by QGIS according to the sampling design, and stores it in a relational database PostgreSQL/PostGIS in real time. Additionally, data is analyzed and visualized in real time using an R Shiny package, allowing immediate access to results. This approach improves data accuracy, saves time, and reduces costs compared to traditional methods, establishing a foundation for researchers to promptly utilize the data.

Keywords
Ecological monitoring
Environmental monitoring
FOSS
GIS
R Shiny

생태계 모니터링은 생물종과 환경 데이터를 종이 야장에 기록하고, 이후 데이터를 전산화하여 분석하는 전통적인 방식으로 수행되어 왔다. 그러나 이러한 방법은 공간 정보 수집의 어려움, 데이터 입력 과정에서의 오류, 분석 준비에 소요되는 시간 등으로 인해 비효율적이라는 한계가 존재한다. 본 연구는 이러한 문제를 해결하기 위해 자유 오픈 소스 소프트웨어(QGIS, QField, PostgreSQL/PostGIS, R Shiny)를 활용하여 생태계 모니터링 데이터를 효율적으로 수집, 저장, 분석할 수 있는 통합 프레임워크를 제안한다. 이 프레임워크는 모니터링 조사 계획에 따라 QGIS로 생성한 지리 정보 시스템 프로젝트 파일을 바탕으로 모바일 지리 정보 시스템 수집기 QField를 통해 현장에서 공간 정보와 생물종 정보를 수집하며, 실시간으로 관계형 데이터베이스인 PostgreSQL/PostGIS에 저장된다. 또한 R Shiny 패키지를 이용해 데이터를 실시간으로 분석 및 시각화하여 결과를 즉시 확인할 수 있다. 이를 통해 기존의 방식에 비해 모니터링 데이터의 정확성, 시간 절약, 비용 절감 효과를 얻을 수 있으며, 연구자가 신속하게 데이터를 활용할 수 있는 기틀을 마련한다.

키워드
생태계 모니터링
환경 모니터링
FOSS
GIS
R Shiny
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Information
  • Publisher :Korean Society of Ecology and Infrastructure Engineering
  • Publisher(Ko) :응용생태공학회
  • Journal Title :Ecology and Resilient Infrastructure
  • Journal Title(Ko) :응용생태공학회 논문집
  • Volume : 11
  • No :4
  • Pages :165-176
  • Received Date : 2024-11-27
  • Revised Date : 2024-12-17
  • Accepted Date : 2024-12-18
  • DOI :https://doi.org/10.17820/eri.2024.11.4.165
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